# Self-Hosted AWS Billing Dashboards > Search results for `self-hosted dashboard for visualizing AWS billing` on awesome-repositories.com. 115 total matches; showing the first 50. Explore on the web: https://awesome-repositories.com/q/self-hosted-dashboard-for-visualizing-aws-billing **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/self-hosted-dashboard-for-visualizing-aws-billing).** ## Results - [appwrite/appwrite](https://awesome-repositories.com/repository/appwrite-appwrite.md) (56,318 ⭐) — Appwrite is a backend-as-a-service platform that provides a unified development environment for building full-stack applications. It integrates essential infrastructure components—including authentication, databases, storage, and serverless functions—into a single, centralized interface to simplify application development and resource management. The platform distinguishes itself through a container-based microservices architecture that ensures consistent execution across diverse infrastructure. It features a versatile connectivity layer that links frontend applications with third-party services, databases, and external APIs through standardized interfaces. Developers can manage and automate the configuration of these backend resources using infrastructure-as-code tools, while granular role-based access control enforces security policies across all platform resources and API endpoints. Beyond its core services, the platform offers a broad capability surface that includes cross-platform data synchronization, event-driven webhooks, and comprehensive billing and usage monitoring. It supports extensive integrations for AI utilities, payment processing, messaging, and logging, allowing developers to extend application functionality through modular, event-driven workflows. The platform is designed for both managed and self-hosted deployments, providing tools for production environment optimization, data migration, and custom domain configuration. - [clickhouse/clickhouse](https://awesome-repositories.com/repository/clickhouse-clickhouse.md) (48,229 ⭐) — ClickHouse is a high-performance, columnar analytical database designed for real-time query execution and large-scale data aggregation. It functions as a distributed data warehouse capable of processing petabytes of information, while also providing an embedded engine that integrates directly into applications for native query capabilities without external dependencies. The system is built to handle high-throughput ingestion and complex analytical workloads, delivering millisecond-level latency for interactive dashboards and operational monitoring. The platform distinguishes itself through advanced storage and execution techniques, including vectorized query processing and a merge tree storage engine that maintains performance during massive insertions. It features adaptive subcolumn mapping for semi-structured data and supports native vector search for machine learning and generative AI applications. To facilitate efficient data movement, the engine utilizes zero-copy shared memory buffers, minimizing overhead when interacting with external analytical tools or processing diverse file formats like Parquet, JSON, and Arrow. Beyond its core storage and processing capabilities, the project provides a comprehensive suite of tools for observability, security, and data integration. It includes built-in support for natural language querying, automated workflow orchestration for AI agents, and extensive diagnostic features for query plan inspection. The platform also offers robust cloud infrastructure management, including support for private networking, compliant deployment strategies, and integrated billing consolidation. - [github/docs](https://awesome-repositories.com/repository/github-docs.md) (18,951 ⭐) — GitHub Copilot is an AI-powered development platform designed to integrate large language models directly into coding environments. It functions as an interactive assistant and an agentic workflow orchestrator, enabling developers to automate code generation, perform automated code reviews, and execute complex, multi-step development tasks through natural language prompts. The platform distinguishes itself through its autonomous agent capabilities, which allow for repository-level research, implementation planning, and code modifications across multiple files. It supports a modular architecture where users can define custom agent personas, integrate external data sources via standardized protocols, and manage specialized skills. This extensibility is complemented by a robust orchestration engine that handles model routing, persistent conversation compression, and sandboxed execution to ensure secure and efficient task completion. Beyond core coding assistance, the system provides comprehensive infrastructure for enterprise governance and resource management. It includes features for usage-based billing, token-based metering, and granular security controls such as content filtering, data residency enforcement, and role-based access management. The platform also offers deep integration with command-line tools and CI/CD pipelines, allowing for programmatic automation of repository workflows and terminal-based debugging. The system is accessible through IDE plugins and command-line interfaces, with centralized dashboards for monitoring performance, auditing activity, and managing subscription settings. - [aws/aws-cdk](https://awesome-repositories.com/repository/aws-aws-cdk.md) (12,817 ⭐) — The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It employs a language-agnostic intermediate representation to synthesize these definitions into platform-specific configurations, while supporting aspect-oriented policy injection to apply security and compliance rules across infrastructure definitions during the synthesis phase. Beyond core provisioning, the project provides a modular component registry for distributing and reusing pre-configured infrastructure building blocks. It supports multi-account orchestration, allowing for the deployment of consistent resource sets across different regions and accounts from a single template, and includes capabilities for detecting infrastructure drift to ensure deployed environments remain aligned with their defined state. The project is distributed as a software development kit, providing programmatic interfaces to manage the full lifecycle of cloud resources and integrate infrastructure definitions directly into application codebases. - [daytonaio/daytona](https://awesome-repositories.com/repository/daytonaio-daytona.md) (72,416 ⭐) — Daytona is a cloud-native development environment platform designed to orchestrate ephemeral, containerized workspaces. It provides a centralized system for managing reproducible coding environments as code, ensuring consistency across distributed teams by abstracting the underlying infrastructure. By utilizing declarative configuration, the platform automates the entire lifecycle of development sandboxes, from initial provisioning to resource governance. The platform distinguishes itself through its infrastructure-agnostic runner layer, which allows development environments to be deployed across local machines, cloud services, or self-managed clusters. It incorporates multi-tenant resource governance to enforce organizational security policies and access controls, alongside event-driven automation that triggers workflows based on infrastructure changes. Furthermore, it enables secure remote connectivity, allowing developers to interact with isolated sandboxes through authenticated tunnels and remote IDE integration. Beyond core orchestration, the platform supports a wide range of development tasks, including integrated terminal access, file system management, and persistent storage mounting. It provides comprehensive observability tools for auditing system activity, monitoring resource consumption, and capturing visual session data. The platform also facilitates advanced automation through programmatic API access, enabling the integration of AI agents and custom workflows directly within the isolated execution environments. The project is implemented in TypeScript and provides a command-line interface and RESTful API for programmatic control over environment lifecycles and infrastructure settings. - [stoatchat/self-hosted](https://awesome-repositories.com/repository/stoatchat-self-hosted.md) (2,497 ⭐) — This project is a self-hosted communication suite and private messaging infrastructure. It is a containerized chat platform designed for deployment on independent hardware to maintain full control over user data and server dependencies. The system features a modular plugin framework that allows custom features and behaviors to be loaded into the client at runtime via manifest files. It is designed as a proxy-compatible service, supporting configurable network port routing to operate behind external reverse proxy servers. The platform covers capabilities for containerized service orchestration, private communication infrastructure deployment, and custom plugin development. - [hoppscotch/hoppscotch](https://awesome-repositories.com/repository/hoppscotch-hoppscotch.md) (79,618 ⭐) — Hoppscotch is an open-source API development ecosystem designed for building, testing, and debugging REST, GraphQL, and real-time APIs. It provides a unified platform that functions across web browsers, desktop applications, and command-line interfaces, allowing developers to manage the entire API lifecycle from a single environment. The platform distinguishes itself through a highly interactive, command-driven interface that utilizes a global spotlight palette and keyboard shortcuts to streamline complex workflows. It supports advanced request manipulation and validation by executing JavaScript-based scripts and assertions within a sandboxed runtime. Furthermore, it integrates AI-assisted tools to automate the generation of request payloads, test scripts, and documentation, while maintaining compatibility with existing API definitions and collections from other formats. Beyond core testing capabilities, the project offers a collaborative workspace for teams to organize, share, and synchronize API collections and environment variables. It includes robust support for diverse authorization methods, proxy interception for network requests, and enterprise-grade features such as SCIM user provisioning and activity auditing. The software is available for self-hosted deployment via containerized architectures, ensuring consistent behavior across various production and development environments. - [grafana/grafana](https://awesome-repositories.com/repository/grafana-grafana.md) (74,456 ⭐) — Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking and performance monitoring. The platform distinguishes itself through a plugin-based modular architecture that integrates disparate databases, cloud services, and monitoring tools via a standardized data abstraction layer. This framework allows for the dynamic loading of external components to support varied data sources and visualization types without requiring modifications to the core codebase. Additionally, the system incorporates a rule-based alerting engine that evaluates incoming data streams against defined thresholds to trigger automated notifications for incident response. Beyond its core visualization and alerting capabilities, the platform provides tools for infrastructure performance monitoring and operational data analysis. It utilizes a declarative, component-driven interface to manage dashboard states and a compiled backend to process high-throughput queries and API requests. The system maintains configuration persistence and state consistency across distributed instances through a centralized metadata storage layer. - [mailu/mailu](https://awesome-repositories.com/repository/mailu-mailu.md) (7,319 ⭐) — Mailu is a complete email distribution system deployed as a suite of containerized images. It provides a self-hosted email infrastructure that integrates a webmail client interface with a centralized administration dashboard for managing domains, user accounts, and storage quotas. The system focuses on email deliverability and security through a framework that implements identity verification records and digital certificates. This includes the use of identity signatures and encryption to secure mail transport and prevent domain spoofing. The platform includes layered spam and malware filtering using greylisting and auto-learning engines. It further manages email traffic through rule-based routing, aliases, and user-level configurations for automated responses and server-side filtering. - [getsentry/self-hosted](https://awesome-repositories.com/repository/getsentry-self-hosted.md) (9,426 ⭐) — This project is a containerized error tracking platform and monitoring suite designed for self-hosted deployment on private infrastructure. It provides a collection of services for capturing and analyzing software crashes and exceptions, ensuring that sensitive application data remains within a controlled environment. The system includes specialized tooling for air-gapped deployment, allowing the software to be installed and operated on servers without internet access through the manual transfer of container images. It also supports corporate network integration via proxy configurations to maintain connectivity within restricted firewall environments. The operational surface covers infrastructure health monitoring through dedicated status endpoints and request routing via a reverse proxy. Persistent storage is managed through volume mapping to decouple data from container lifecycles. - [dubinc/dub](https://awesome-repositories.com/repository/dubinc-dub.md) (23,722 ⭐) — This project is a comprehensive link management and marketing attribution platform designed for creating, tracking, and analyzing shortened URLs. It functions as a centralized hub for marketing analytics, providing tools to monitor link performance, visualize conversion funnels, and manage affiliate programs through a unified dashboard. The platform distinguishes itself by integrating advanced attribution modeling and partner management directly into the link infrastructure. It supports complex marketing workflows, including automated commission calculations, fraud detection, and payout distribution for affiliates, alongside granular traffic redirection based on device, location, or A/B testing requirements. By utilizing custom domains and reverse proxy configurations, it ensures reliable data collection that bypasses common browser-based tracking restrictions. Beyond core link operations, the system offers extensive programmatic capabilities, including a robust API, SDKs, and event-driven webhooks for real-time integration with external services. It also incorporates enterprise-grade administrative features such as multi-tenant workspace isolation, role-based access control, and single sign-on integration to support collaborative team environments. The platform is built to be deployed within private infrastructure, allowing organizations to maintain full control over their data and system configuration. - [apache/apisix](https://awesome-repositories.com/repository/apache-apisix.md) (16,767 ⭐) — This project is a high-performance, distributed API gateway designed to manage, secure, and observe traffic for microservices, serverless functions, and artificial intelligence model providers. It functions as a dynamic service proxy and cloud-native ingress controller, centralizing policy enforcement and traffic routing through a unified configuration interface that synchronizes state across multiple nodes in real time. The platform distinguishes itself through a highly extensible architecture that utilizes a high-performance scripting engine to execute modular logic directly within the request lifecycle. It provides specialized capabilities for modern AI workflows, including model request proxying, token-based budget enforcement, content moderation, and agentic workflow tracing. Furthermore, it supports complex multi-protocol environments by bridging diverse communication standards, including gRPC and various binary protocols, without requiring additional sidecar processes. Beyond its core proxying functions, the gateway offers a comprehensive suite of traffic management and security tools. It handles authentication and authorization through multiple strategies, including token validation and identity provider integration, while maintaining granular control over TLS policies and secret management. The system also provides robust observability through distributed tracing, metrics exporting, and detailed request logging, ensuring visibility into both standard API traffic and complex AI-driven interactions. The software is designed for containerized environments and can be deployed using standard container images, with full support for translating Kubernetes ingress resources into live routing rules. - [alvyn279/aws-cdk-billing-alarm](https://awesome-repositories.com/repository/alvyn279-aws-cdk-billing-alarm.md) (0 ⭐) — A CDK construct that sets up email notification for when you exceed a given AWS estimated charges amount. - [capsoftware/cap](https://awesome-repositories.com/repository/capsoftware-cap.md) (17,026 ⭐) — Cap is a self-hosted screen recording and video collaboration platform designed for teams to replace synchronous meetings with asynchronous video updates. It provides a comprehensive suite for capturing high-resolution desktop activity, including system audio, microphone input, and camera overlays, which are then processed through an integrated post-production workflow. The platform distinguishes itself by offering full data sovereignty through containerized deployment and object storage abstractions, allowing users to host their media assets on private infrastructure or S3-compatible buckets. Beyond simple recording, it features keyframe-based video compositing, automated AI-powered transcription, and visual branding tools that enable creators to polish and annotate their content before sharing. The system facilitates team engagement through a centralized workspace where viewers can provide feedback via timestamped comments, reactions, and playback analytics. It also includes programmatic interfaces for embedding videos into external applications, managing media assets, and automating distribution workflows. The project is distributed as a containerized application, enabling deployment on private servers to maintain complete control over data storage and access permissions. - [fetchai/innovation-lab-examples](https://awesome-repositories.com/repository/fetchai-innovation-lab-examples.md) (1,028 ⭐) — This project provides a comprehensive framework for building, deploying, and orchestrating autonomous agents within a decentralized network. It serves as a collection of patterns and examples for developing intelligent software entities capable of performing complex tasks, making decisions, and interacting with other agents to achieve shared goals. The framework distinguishes itself through its focus on multi-agent orchestration and decentralized communication. It enables the coordination of specialized agent teams that collaborate on workflows through structured messaging protocols, allowing for task delegation and distributed problem-solving. Furthermore, it integrates financial transaction capabilities, enabling the monetization of agent services by verifying cryptocurrency payments on-chain to gate access to specific tasks or content. The platform covers a broad capability surface, including retrieval-augmented generation for context-aware responses, agentic web automation for interacting with external services, and conversational AI integration for managing multi-turn user dialogues. It also supports advanced operational features such as asynchronous task streaming, containerized service deployment, and the use of standardized context protocols to connect agents with external tools and data sources. The repository includes implementation patterns and configuration examples designed to assist developers in transitioning agents from local development environments to hosted infrastructure. - [datawranglerai/self-host-n8n-on-gcr](https://awesome-repositories.com/repository/datawranglerai-self-host-n8n-on-gcr.md) (608 ⭐) — Self-host n8n on Google Cloud without the subscription fees or server headaches - because your automation workflows shouldn't cost more than your coffee budget - [awslabs/aws-mobile-self-paced-labs-samples](https://awesome-repositories.com/repository/awslabs-aws-mobile-self-paced-labs-samples.md) (15 ⭐) — aws-mobile-self-paced-labs-samples - [coollabsio/coolify](https://awesome-repositories.com/repository/coollabsio-coolify.md) (57,055 ⭐) — This project is a self-hosted platform-as-a-service that provides a centralized management interface for deploying, configuring, and monitoring containerized applications and databases on private infrastructure. It functions as a visual control plane, automating the end-to-end lifecycle of services from source code to production. By managing container orchestration, networking, and resource allocation, it allows users to maintain full control over their own hardware while streamlining the delivery of software. The platform distinguishes itself through its agentless architecture, which uses secure shell connections to execute administrative tasks and manage remote servers without requiring persistent local software. It integrates directly with version control systems to trigger automated build and deployment pipelines, including the creation of temporary, isolated preview environments for every pull request. This workflow is supported by a declarative engine that uses templates to standardize the deployment of complex multi-container architectures and persistent database engines. Beyond core orchestration, the system handles the operational requirements of hosted services by managing dynamic reverse-proxy routing and automated SSL certificate lifecycles. It provides a comprehensive suite of infrastructure management tools, including browser-based terminal access for debugging, automated system dependency installation, and persistent state management via a central database. These capabilities ensure that infrastructure remains synchronized and consistent across multiple remote environments. - [clearml/clearml](https://awesome-repositories.com/repository/clearml-clearml.md) (6,740 ⭐) — ClearML is a comprehensive MLOps platform designed to manage the end-to-end machine learning lifecycle, from initial experimentation to production deployment. It provides a suite of integrated tools including a pipeline orchestrator for automating workflows, an experiment tracking tool for logging hyperparameters and metrics, and a metadata-driven data versioning system for managing large-scale datasets and model artifacts. The platform is distinguished by its advanced compute management and serving capabilities. It features a GPU compute manager that supports fractional resource slicing and priority scheduling across hybrid cloud environments. Additionally, it includes a dedicated serving framework for hosting large language models and agentic workflows through secure APIs with integrated autoscaling. The system covers a broad range of operational capabilities, including real-time infrastructure cost tracking, multi-tenant resource isolation, and automated execution environment reproduction. It also provides observability tools for monitoring inference endpoints, auditing AI workflows, and analyzing system-level hardware utilization. The orchestration engine can be deployed via containerized or cloud-image based installations to host the platform's lifecycle infrastructure. - [aws/aws-codedeploy-agent](https://awesome-repositories.com/repository/aws-aws-codedeploy-agent.md) (335 ⭐) — Host Agent for AWS CodeDeploy - [formbricks/formbricks](https://awesome-repositories.com/repository/formbricks-formbricks.md) (12,391 ⭐) — Formbricks is an open-source survey and feedback platform designed to help teams capture and analyze user insights through targeted, in-app, and website-based interactions. It functions as a comprehensive customer experience analytics system that allows organizations to maintain full control over their data, user attributes, and survey workflows. The platform distinguishes itself through its event-driven architecture, which enables precise behavioral targeting by triggering surveys based on specific user actions or application events. It supports deep integration with external ecosystems by automatically synchronizing response data to CRMs, databases, and communication tools, while providing programmatic interfaces for managing resources and automating feedback loops. Beyond core collection, the system includes advanced logic for conditional branching, scoring, and personalized routing to create adaptive survey experiences. It offers extensive customization options, including white-labeling, CSS overrides, and multi-channel distribution across web, mobile, and email environments. The platform is built for self-hosting, supporting containerized deployments with built-in multi-tenant data isolation and enterprise-grade security features like single sign-on and role-based access control. - [comfy-org/comfyui](https://awesome-repositories.com/repository/comfy-org-comfyui.md) (117,227 ⭐) — ComfyUI is a node-based generative AI orchestration engine designed for constructing, testing, and executing complex image and video synthesis pipelines. By utilizing a directed acyclic graph execution model, the platform allows users to build reproducible workflows through modular, interconnected processing blocks without requiring manual code implementation. It serves as both a local environment for high-performance model inference and a production-ready server for deploying generative capabilities. The platform distinguishes itself through its focus on workflow portability and extensibility. Complex pipelines are persisted as structured JSON files, enabling version control and programmatic reconstruction. Users can extend the system’s core functionality by dynamically loading custom node extensions at runtime, while the engine’s lazy evaluation strategy ensures efficiency by computing only the necessary nodes for a given output. Real-time state synchronization via WebSockets provides immediate feedback during the generation process. Beyond its core execution capabilities, the platform supports a broad range of operational needs, including local model orchestration, cloud-scale infrastructure management, and API integration. It provides tools for managing generative models, local software environments, and enterprise-grade infrastructure. The system exposes visual workflows as programmable endpoints, allowing developers to integrate advanced generative tasks into external software applications. - [idehub/react-native-billing](https://awesome-repositories.com/repository/idehub-react-native-billing.md) (626 ⭐) — React Native bridge to InApp Billing on Android. - [chatwoot/chatwoot](https://awesome-repositories.com/repository/chatwoot-chatwoot.md) (31,959 ⭐) — Chatwoot is a self-hosted, omnichannel customer support platform designed to aggregate messages from diverse social and digital channels into a single, collaborative team inbox. It provides organizations with full data ownership and control over their support infrastructure, ensuring strict logical separation of customer data through multi-tenant architecture. By centralizing communication, the platform enables teams to manage, route, and resolve inquiries within a unified workspace that maintains complete interaction history for every contact. The platform distinguishes itself through an event-driven automation engine and a visual rule builder that allow teams to manage conversations and workflows without writing custom code. It incorporates intelligent features such as automated response drafting, conversation context recall, and a self-service knowledge base to improve agent efficiency. These capabilities are supported by granular role-based access controls and comprehensive performance analytics, which provide insights into agent productivity, inbox activity, and customer satisfaction trends. Beyond its core messaging and routing functions, the system offers a broad suite of operational tools including proactive engagement triggers, team workload balancing, and multilingual support. It supports flexible deployment strategies, including containerized and cloud-native orchestration, to accommodate various production environments. The platform is designed for extensibility, allowing for custom attribute management and integration with external systems via webhooks and API-based channels. - [amruthpillai/reactive-resume](https://awesome-repositories.com/repository/amruthpillai-reactive-resume.md) (38,613 ⭐) — This project is a web-based platform designed for creating, managing, and sharing professional resumes. It functions as a structured document builder that integrates artificial intelligence to assist with content generation, editing, and analysis. Users can maintain a collection of resumes, customize their visual presentation through various templates, and export them into multiple formats for job applications. The platform distinguishes itself through its autonomous AI agent capabilities, which can perform research, suggest incremental edits, and apply data patches directly to documents. It also provides a secure, self-hostable environment that allows users to maintain full control over their data and infrastructure. The system supports advanced authentication methods, including passkeys and federated identity providers, ensuring that personal and professional information remains protected. Beyond core editing, the application includes tools for document organization, such as tagging, filtering, and legacy data migration. It features a robust document generation engine that separates content from design, allowing for precise layout control and styling. Users can share their resumes via password-protected public URLs and monitor document performance through integrated analytics. The application is designed for containerized deployment, utilizing Docker Compose to facilitate consistent installation across private infrastructure. It includes built-in health monitoring and feature flagging to manage system performance and functionality without requiring code redeployments. - [n8n-io/self-hosted-ai-starter-kit](https://awesome-repositories.com/repository/n8n-io-self-hosted-ai-starter-kit.md) (14,997 ⭐) — This project provides a dockerized AI workflow stack and orchestration templates for deploying a self-hosted AI environment. It establishes a localized infrastructure for building autonomous agents and model chains that process private data on-premises without external cloud dependencies. The environment is designed to support autonomous agent development, allowing models to dynamically select tools, execute shell commands, and interact with local file systems. It includes integrated vector database support to enable retrieval augmented generation and private document analysis. The stack covers a broad range of capabilities, including local model inference hosting, node-based workflow sequencing, and stateful conversation memory. It also incorporates text analysis tools for embedding generation, structured information extraction, and automated file system change triggers. - [boto/boto3](https://awesome-repositories.com/repository/boto-boto3.md) (9,834 ⭐) — Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and containerized applications within the cloud ecosystem. The toolkit covers a broad range of operational capabilities, including generative AI orchestration, identity and access control, and detailed cloud resource monitoring. It further extends to data lifecycle management, including automated backups and migrations, as well as comprehensive billing and cost optimization tools. - [horike37/serverless-dashboard-for-atom](https://awesome-repositories.com/repository/horike37-serverless-dashboard-for-atom.md) (0 ⭐) — This is a Atom editor package which allows you to deploy and manage your serverless service with Serverless Framework on Atom. Currently, this pakage has supported only AWS, but we will support multi providers in the future. - [athensresearch/athens](https://awesome-repositories.com/repository/athensresearch-athens.md) (6,298 ⭐) — Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21 - [turbot/steampipe](https://awesome-repositories.com/repository/turbot-steampipe.md) (7,701 ⭐) — Steampipe is a cloud infrastructure query engine and API-to-SQL mapper that translates REST and GraphQL API responses into relational rows and columns. It allows for the retrieval and joining of real-time data from multiple cloud service providers using a relational database interface. The project functions as a PostgreSQL foreign data wrapper and an SQLite API extension, mapping external API endpoints to virtual tables. This enables the use of standard SQL to query live cloud services and aggregate data from different providers and service accounts into a single unified dataset. The system includes capabilities for cloud resource monitoring, configuration visualization, and log data analysis. It provides an interactive SQL shell and supports the integration of new data sources through a gRPC-based plugin architecture. The engine can be run as a standalone binary with an embedded database or integrated into existing Postgres and SQLite installations. - [casibase/casibase](https://awesome-repositories.com/repository/casibase-casibase.md) (4,443 ⭐) — Casibase is an open-source platform that orchestrates multi-turn conversations with large language models and manages retrieval-augmented knowledge bases from a single interface. It provides a unified system for connecting to over 30 AI model providers, ingesting documents into vector embeddings for semantic search, and running autonomous agent loops that can drive a browser, search the web, execute commands, and integrate with external tools. The platform distinguishes itself by combining AI conversation management with infrastructure and application orchestration capabilities. It includes a visual workflow designer for composing multi-step pipelines, a Kubernetes blueprint orchestrator for deploying containerized applications with environment-specific customization, and a browser-based remote server gateway for managing SSH, RDP, and VNC connections. Role-based access control is enforced across routers, controllers, and UI layers, with single sign-on authentication and user-to-store data isolation. Beyond its core AI and automation features, Casibase offers infrastructure security scanning, token-aware billing with per-message cost tracking, and integration with enterprise messaging platforms for real-time AI responses. It provides an OpenAI-compatible API endpoint, client SDKs, and Swagger-generated documentation for programmatic access. The system supports multi-store knowledge isolation, cross-store vector sharing, and a centralized dashboard for monitoring system resources, deployment states, and usage activity across providers and users. - [obazoud/awesome-dashboard](https://awesome-repositories.com/repository/obazoud-awesome-dashboard.md) (0 ⭐) — A curated list of amazingly awesome dashboards/visualization resources. - [ivaskuu/dashboard](https://awesome-repositories.com/repository/ivaskuu-dashboard.md) (947 ⭐) — Dashboard concept made with Flutter. - [cockroachdb/cockroach](https://awesome-repositories.com/repository/cockroachdb-cockroach.md) (32,207 ⭐) — Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict ACID compliance and global data consistency. It functions as a relational database engine that automatically partitions data into ranges, rebalancing them across a cluster to accommodate growing storage and throughput requirements. By utilizing a distributed consensus protocol, the system ensures that all nodes agree on the order of operations, providing fault tolerance and continuous availability even in the event of hardware failures. The system distinguishes itself through a layered architecture that separates the relational SQL abstraction from a distributed key-value store. It achieves global consistency without requiring perfectly synchronized hardware clocks by employing a hybrid logical clock synchronization mechanism. To support high-concurrency environments, it utilizes multi-version concurrency control and lock-free transaction execution, which allow for consistent snapshots and efficient conflict resolution. Furthermore, the engine is built for compatibility, implementing the standard wire protocol to support existing relational database drivers and tools. Beyond its core transactional capabilities, the platform includes comprehensive tooling for cluster orchestration, security, and performance diagnostics. It supports a variety of deployment models, ranging from self-hosted on-premises configurations to fully managed cloud services. The system provides a command-line interface for session management and query execution, ensuring that administrators can monitor cluster health and manage workloads through standard relational interfaces. - [netdata/netdata](https://awesome-repositories.com/repository/netdata-netdata.md) (79,176 ⭐) — Netdata is a distributed observability platform designed for real-time infrastructure monitoring and performance tracking. It functions as a high-frequency agent that collects system, container, and application metrics with per-second precision, providing both local visualization and centralized aggregation across complex, multi-cloud environments. The platform distinguishes itself through edge-based intelligence, utilizing local machine learning models to automatically detect performance anomalies without requiring manual configuration or external query engines. Its architecture prioritizes local-first data persistence and secure metadata-only synchronization, ensuring that granular observability data remains on the host while essential system information is routed to a cloud-connected management plane. This hierarchical approach allows for horizontal scaling through parent-child node relationships, enabling unified monitoring and alerting across distributed infrastructure. Beyond core collection and analysis, the system supports automated troubleshooting through natural language querying and intelligent metric correlation. It features a modular data acquisition engine that employs thread-per-core execution for low-latency performance, alongside isolated external processes for heterogeneous application support. The platform includes automated service discovery, diverse deployment options, and built-in diagnostic utilities to maintain visibility and connectivity across large-scale clusters. Installation is supported through various methods including package managers, automated scripts, source compilation, and containerized orchestration. - [keen/dashboards](https://awesome-repositories.com/repository/keen-dashboards.md) (11,038 ⭐) — This project is a collection of responsive CSS Grid dashboard templates and a data visualization UI kit. It provides a set of HTML layouts designed for building analytics interfaces and monitoring views for KPIs and business metrics that adapt to different screen sizes. The toolkit is library-agnostic, allowing the connection of static HTML templates to any external data source or third-party charting library without requiring custom adapter code. It uses a template-driven approach to separate the visual structure of the dashboard from the underlying data. The capabilities cover the assembly of responsive grid layouts and the embedding of charts into predefined cells. These frontend templates are provided as containerized images to ensure consistent hosting and delivery across different server environments. - [maybe-finance/maybe](https://awesome-repositories.com/repository/maybe-finance-maybe.md) (53,999 ⭐) — Maybe is a self-hosted financial platform designed for private deployment, providing a centralized interface to track investments, budgets, and net worth. By running the application on your own infrastructure, you maintain full control over your sensitive financial data and privacy. The platform is delivered as a containerized application suite, utilizing a declarative configuration framework to manage service lifecycles. It distinguishes itself through a structured approach to version control, allowing users to pin specific release tags to ensure environment consistency and perform controlled updates by pulling updated images from a remote registry. The system includes comprehensive tools for managing the application lifecycle, including database volume maintenance and the ability to reset persistent storage states. Deployment is handled through container orchestration, which ensures that the service remains portable and consistent across diverse hosting environments. - [chartdb/chartdb](https://awesome-repositories.com/repository/chartdb-chartdb.md) (21,286 ⭐) — ChartDB is a database schema visualizer and entity-relationship diagramming platform designed to help developers understand, design, and document complex data architectures. It functions as a visual workspace where users can create and modify database schemas, define table attributes, and map foreign key relationships. By parsing database metadata or SQL scripts, the tool generates interactive diagrams that provide a clear overview of structural interdependencies and data associations. The platform distinguishes itself through its focus on automated documentation and schema synchronization. It supports programmatic diagram generation and scheduled background tasks that refresh visual representations to reflect changes in the underlying database structure. This ensures that technical documentation remains aligned with the live schema, while features like dependency mapping and relationship cardinality visualization provide deeper insights into how data entities interact. Beyond visualization, the tool facilitates schema portability by converting diagrams into standard database markup scripts, enabling version control and migration across different environments. Users can manage their workspace through automated layout engines, grid alignment, and filtering tools, or export diagrams as images for stakeholder sharing. The platform also supports embedding interactive diagrams into external documentation and offers containerized self-hosting options for teams requiring private infrastructure and data sovereignty. - [aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers](https://awesome-repositories.com/repository/aws-solutions-library-samples-guidance-for-vibe-coding-with-aws-mcp-servers.md) (0 ⭐) — Guidance for Vibe Coding AI Agents with AWS MCP Servers - Table of Contents - Overview - AWS MCP Servers - Architecture - Cost - Sample Cost Table - Deployment Options - Option 1: AWS Workshop Studio (Recommended for Workshop Participants) - Option 2: Self-Deployment in Your Own AWS Account -… - [gitroomhq/postiz-app](https://awesome-repositories.com/repository/gitroomhq-postiz-app.md) (32,271 ⭐) — Postiz is an open-source social media management platform designed to centralize the scheduling, publishing, and analysis of content across diverse social networks, community forums, and blogging platforms. It functions as a unified hub where users can coordinate, review, and distribute content through a shared team workspace, while leveraging integrated artificial intelligence to assist in drafting text and generating multimedia assets. The platform distinguishes itself through a modular architecture that utilizes a provider-specific adapter pattern to ensure consistent content distribution across various external services. It incorporates an AI-driven tool execution model that connects natural language models to internal functions, enabling automated content generation and media configuration. Furthermore, the system provides a programmatic API gateway that allows external applications to interact with its scheduling and management features via structured payloads. Beyond core scheduling, the platform includes comprehensive tools for performance tracking, media storage abstraction, and collaborative workflows. It supports complex content strategies through features like multi-part thread scheduling and automated campaign execution, while maintaining secure identity management through OAuth-based mediation and support for external identity providers. The application is designed for self-hosting and can be deployed into containerized environments using provided configuration charts. - [midday-ai/midday](https://awesome-repositories.com/repository/midday-ai-midday.md) (14,026 ⭐) — Midday is an open-source, self-hosted financial dashboard designed for business expense management and automated bookkeeping. It functions as a centralized platform that aggregates transaction history and account balances from multiple external banking providers, allowing users to maintain full control over their sensitive financial data on private infrastructure. The platform distinguishes itself through its automated reconciliation workflows, which categorize business expenditures and generate structured financial reports to reduce manual data entry. By integrating with financial data aggregators, it establishes persistent connections to synchronize records and monitor real-time cash flow, while providing specific tools to track recurring subscription cycles and upcoming financial commitments. Beyond core bookkeeping, the system includes capabilities for managing account visibility, analyzing spending patterns, and securing sensitive information through token-based authentication and role-based access controls. The application provides a unified interface for oversight, ensuring that all financial data is consolidated and processed through a modular pipeline for consistent reporting. - [firefly-iii/firefly-iii](https://awesome-repositories.com/repository/firefly-iii-firefly-iii.md) (22,431 ⭐) — Firefly III is a self-hosted personal finance management system built on a double-entry bookkeeping engine. It provides a comprehensive platform for tracking income, expenses, and account balances while maintaining financial integrity through structured accounting principles. Designed for private use, the system supports multi-user access, allowing independent financial administrations to coexist within a single installation. The platform distinguishes itself through extensive automation and integration capabilities. It features a robust REST JSON API and webhook system that enables programmatic interaction with financial data, allowing for automated transaction ingestion, external service synchronization, and event-driven notifications. Users can define custom rules to automatically categorize, tag, and modify incoming transactions, while built-in tools handle complex tasks like currency conversion, debt management, and recurring transaction generation. Beyond core bookkeeping, the system offers a wide range of financial planning tools, including zero-based budgeting, savings goal allocation, and detailed data visualization. It includes sophisticated data ingestion utilities that normalize and deduplicate records from external sources, ensuring consistent reporting. Administrative tasks, such as data maintenance and backups, can be managed through a command-line interface or automated background processes. The application is designed for containerized deployment, supporting standard Linux environments and orchestration via Kubernetes. It secures sensitive financial information through OAuth2 authentication, two-factor verification, and environment-based secret management. - [aws-beam/aws-elixir](https://awesome-repositories.com/repository/aws-beam-aws-elixir.md) (595 ⭐) — AWS clients for Elixir - [docmost/docmost](https://awesome-repositories.com/repository/docmost-docmost.md) (19,049 ⭐) — Docmost is an open-source knowledge management system designed as a collaborative documentation platform for teams. It functions as an enterprise wiki that centralizes organizational information into structured, searchable workspaces, enabling users to create, organize, and share content through a hierarchical system of spaces and pages. The platform distinguishes itself by integrating artificial intelligence directly into the documentation lifecycle. It utilizes vector-based semantic search to allow for natural language queries across stored content and provides AI-assisted tools for drafting, summarizing, and refining documents. To support team workflows, it features a block-based editor for rich text authoring and visual diagramming, paired with real-time collaboration capabilities that synchronize changes across multiple users. The system is built for enterprise environments, offering granular access control, multi-factor authentication, and identity provider integration for centralized user management. It also includes programmatic access through a REST API, allowing for the automation of resource management and integration with external software tools. The platform supports flexible deployment with configurable storage backends and automated security certificate management. It is designed to be self-hosted, providing the necessary infrastructure to manage documentation security and lifecycle workflows within an organization. - [anjlab/android-inapp-billing-v3](https://awesome-repositories.com/repository/anjlab-android-inapp-billing-v3.md) (2,197 ⭐) — A lightweight implementation of Android In-app Billing Version 3 - [openbb-finance/openbb](https://awesome-repositories.com/repository/openbb-finance-openbb.md) (69,583 ⭐) — OpenBB is a financial data platform and investment research terminal designed to aggregate, normalize, and distribute market data across analytical workflows. It functions as a comprehensive ecosystem that bridges disparate financial data providers with custom applications, spreadsheets, and internal modeling infrastructure. The platform distinguishes itself through a provider-based data abstraction layer that normalizes heterogeneous financial APIs into a consistent, schema-driven format. This architecture supports quantitative research automation and the construction of interactive, widget-based dashboards, allowing users to maintain control over data within secure, self-hosted, or private infrastructure environments. Beyond its core terminal interface, the project provides a modular, plugin-driven architecture for integrating proprietary data feeds and external services. These capabilities enable the embedding of live market and historical datasets directly into custom software products and business intelligence platforms, ensuring consistent data availability for cross-platform analysis. - [f/prompts.chat](https://awesome-repositories.com/repository/f-prompts-chat.md) (163,814 ⭐) — This platform serves as a centralized management system for organizing, refining, and versioning AI instructions and agent skills. It functions as a repository that enables users to store, categorize, and retrieve structured prompts, ensuring consistent performance across various artificial intelligence models. By integrating with the Model Context Protocol, the system allows external AI assistants and development environments to discover and access these instruction libraries directly. The platform distinguishes itself through its focus on prompt engineering and automated refinement, utilizing generative analysis to transform basic user instructions into structured, high-performance prompts. It supports multi-tenant white-labeling, allowing for isolated, custom-branded deployments that include secure identity management and granular access control. Additionally, the system incorporates an interactive educational environment designed to teach users effective techniques for constructing and optimizing AI interactions. Beyond core management, the platform provides semantic search indexing to facilitate efficient discovery of relevant instructions based on user intent. It also supports the development of complex agent skills and includes automated workflows that enforce behavioral standards for AI interactions. The system is designed for both individual use and enterprise-grade infrastructure deployment, offering tools for visual customization and interface localization to meet diverse organizational requirements. - [googlehosts/hosts](https://awesome-repositories.com/repository/googlehosts-hosts.md) (20,619 ⭐) — This project is a curated collection of domain-to-IP mappings designed to bypass network censorship and restore access to restricted web services. It provides a set of host file entries and static domain mapping files that allow users to redirect blocked traffic to accessible mirrors or proxy servers. The system functions by prioritizing local host entries over external DNS responses. It utilizes plain-text configuration files that are intended for manual injection into a system's hosts file to override default name resolution. The project covers network connectivity and DNS override management through the distribution of verified IP collections and curated domain lists. - [aws/aws-sdk-unity](https://awesome-repositories.com/repository/aws-aws-sdk-unity.md) (104 ⭐) — ARCHIVED: The aws sdk for unity is now distributed as a part of aws sdk for dotnet: - [asciinema/asciinema](https://awesome-repositories.com/repository/asciinema-asciinema.md) (16,852 ⭐) — Asciinema is a platform for capturing, replaying, and sharing command-line sessions. It provides a comprehensive suite of tools to record terminal activity into lightweight, text-based files that preserve ANSI escape sequences, allowing users to document technical workflows, troubleshooting steps, and software demonstrations with high fidelity. The project distinguishes itself through its versatile playback and distribution capabilities. It features a web-based player that renders interactive terminal sessions directly in the browser, supporting features like seeking, playback speed control, and custom visual themes. Beyond interactive playback, it includes utilities for converting recordings into animated images or videos, and provides infrastructure for self-hosting recording servers to maintain full control over data storage and security. The platform supports a wide range of integration and automation needs, including embedding interactive sessions into technical documentation, broadcasting live terminal activity to remote viewers, and programmatically generating recordings via scripts. It also offers robust management tools for indexing, searching, and organizing historical session data. The software is designed for flexible deployment, with server and storage components packaged into containerized units for independent hosting.