# Self-Hosted Business Intelligence Dashboards > Search results for `self-hosted Tableau alternative for dashboards` on awesome-repositories.com. 118 total matches; showing the first 50. Explore on the web: https://awesome-repositories.com/q/self-hosted-tableau-alternative-for-dashboards **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-tableau-alternative-for-dashboards).** ## Results - [awesome-selfhosted/awesome-selfhosted](https://awesome-repositories.com/repository/awesome-selfhosted-awesome-selfhosted.md) (299,516 ⭐) — This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It distinguishes itself through a collaborative peer-review process, where community members validate the quality and relevance of each submission to ensure the directory remains accurate and reliable. The project covers a broad capability surface, including infrastructure automation, container-based service deployment, and declarative configuration management. These tools assist users in maintaining reproducible server environments and managing complex service dependencies across private hardware. The directory is maintained as a version-controlled repository, ensuring that all updates and community-driven changes are tracked and transparent. - [lmnr-ai/lmnr](https://awesome-repositories.com/repository/lmnr-ai-lmnr.md) (2,608 ⭐) — Lmnr is an LLM observability platform and evaluation framework designed for tracing, logging, and monitoring language model executions. It provides the tools necessary to debug agent behavior, analyze performance, and identify failure patterns in AI agents. The platform differentiates itself through a trace-to-dataset pipeline that converts production logs into labeled test sets for regression testing. It includes a prompt-variant replay engine to compare different prompts or models side-by-side and a state-cached debugging system to replay agent loops without restarting the process. The system covers a broad range of capabilities, including event analysis via natural language extraction, SQL-based observability storage, and the creation of time-synchronized dashboards. It also manages AI datasets with versioning and annotation, provides real-time alerting through external integrations, and supports PII data redaction for privacy compliance. The software is available as a self-hosted observability stack that can be deployed using container orchestration and cloud provider images. - [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. - [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. - [gethomepage/homepage](https://awesome-repositories.com/repository/gethomepage-homepage.md) (30,679 ⭐) — This project is a self-hosted dashboard portal designed to centralize access to internal applications and infrastructure services. It functions as a configuration-driven platform that automatically discovers and organizes services from container runtimes and cluster management systems, presenting them within a unified, customizable web interface. The system distinguishes itself through a declarative widget framework that allows users to construct dashboard components by mapping raw API responses to visual elements. It includes a secure internal proxy layer that handles authentication, header injection, and request routing for external services, ensuring that data retrieval remains isolated and controlled. Developers can extend the platform by authoring custom widgets using standardized lifecycle hooks, which are supported by a comprehensive suite of unit and integration tests to ensure reliable data fetching and error handling. The platform covers a broad range of infrastructure monitoring and management capabilities, including real-time visualization of resource utilization for servers, containers, and virtual machines. Users can organize their dashboard through a hierarchical layout engine that supports nested service groups and flexible grid arrangements. The system also features a centralized localization layer to ensure consistent multi-language support across all interface elements and widgets. The application is managed through a centralized configuration file, which governs service discovery, global settings, and the behavior of various modular widgets. - [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. - [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. - [apache/superset](https://awesome-repositories.com/repository/apache-superset.md) (73,451 ⭐) — Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualization architecture that supports modular chart components and custom geospatial maps, alongside granular role-based access control that enforces data security through row-level filters applied directly to generated SQL queries. Beyond its core analytics capabilities, the system provides comprehensive tools for enterprise data governance, including automated reporting, scheduled data snapshots, and secure content embedding. It supports high-performance operations through distributed caching, asynchronous query execution, and a standardized API for programmatic resource management. The project is designed for production-grade deployment, offering extensive configuration for containerized environments, metadata management, and secure network communication. It provides detailed documentation for installation, environment migration, and system hardening to ensure scalability and data integrity across distributed instances. - [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. - [lightdash/lightdash](https://awesome-repositories.com/repository/lightdash-lightdash.md) (5,557 ⭐) — Lightdash is an open-source business intelligence platform that treats analytics logic as code. It centralizes metric and dimension definitions in a semantic layer, allowing data teams to define business metrics in YAML files version-controlled alongside data models. This approach ensures consistent, governed data access without requiring users to write SQL. Lightdash introduces CI/CD workflows for BI content, enabling teams to validate, test, and deploy analytics changes through automated pipelines and isolated preview environments. Its natural language query interface allows users to ask questions in plain English, translated into structured queries via AI agents. The platform also provides an embeddable analytics SDK for integrating dashboards into external applications, and enforces role-based access control with row-level security. Beyond these differentiators, Lightdash supports building interactive dashboards and data applications from the centralized semantic model, self-service metric exploration with filtering and drill-down, scheduled report delivery to Slack or email, and full data lineage tracking. It integrates deeply with dbt to synchronize models and metrics across the analytics stack. - [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 - [plotly/plotly.py](https://awesome-repositories.com/repository/plotly-plotly-py.md) (18,270 ⭐) — Plotly.py is a comprehensive framework for building production-ready data applications and interactive dashboards directly from Python code. It functions as both a high-performance visualization library for browser-based charts and a full-stack tool for transforming analytical scripts into responsive, web-based interfaces. By abstracting away the need for manual HTML or JavaScript, it allows developers to define complex layouts and functional logic using modular, reusable components. The framework distinguishes itself through a robust architecture that handles event orchestration and state synchronization automatically. It utilizes a centralized dependency graph to trigger backend functions in response to user inputs, while maintaining persistent session states to ensure data consistency. Its visualization engine leverages hardware-accelerated primitives to render massive, multi-dimensional datasets, supporting specialized requirements such as 3D scientific modeling and real-time data streaming. Beyond core visualization, the platform provides extensive capabilities for enterprise-grade application development. This includes integrated security protocols for user access management, tools for background task execution to maintain responsiveness during heavy computations, and automated deployment pipelines for hosting applications in scalable environments. It also supports complex data operations, such as filtering and pivoting, within high-performance grid components, and offers utilities for debugging, testing, and generating annotated analytical reports. - [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. - [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. - [plotly/dash](https://awesome-repositories.com/repository/plotly-dash.md) (24,262 ⭐) — Dash is a Python-based framework for building analytical web applications and reactive data dashboards. It allows developers to connect data science and machine learning code to interactive web interfaces without writing JavaScript, serving as a backend-driven tool for defining layouts and managing state. The framework integrates the Plotly charting engine to render a wide variety of complex charts and financial graphs. It distinguishes itself through a reactive callback system that links user input components to data visualizations, enabling the creation of business intelligence dashboards and real-time data monitoring tools. The platform covers a broad capability surface including multi-page application routing, background task execution, and client-side callback processing to reduce latency. It also provides tools for runtime debugging, application behavior testing, and the rendering of LaTeX mathematical notation. - [ivaskuu/dashboard](https://awesome-repositories.com/repository/ivaskuu-dashboard.md) (947 ⭐) — Dashboard concept made with Flutter. - [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. - [jerairrest/react-chartjs-2](https://awesome-repositories.com/repository/jerairrest-react-chartjs-2.md) (6,933 ⭐) — react-chartjs-2 is a data visualization library that provides a set of React components acting as a wrapper for Chart.js. It allows for the rendering of interactive charts and graphs within a React application using a declarative approach. The library manages HTML5 canvas charting components by tying the lifecycle of Chart.js instances to the mounting and unmounting of the React component tree. It translates component props into the configuration objects required by the underlying engine to map datasets to visual elements. The project covers a range of frontend integration capabilities, including the development of data visualization dashboards, interactive reporting, and web application analytics. - [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. - [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. - [langfuse/langfuse](https://awesome-repositories.com/repository/langfuse-langfuse.md) (29,190 ⭐) — Langfuse is an open-source observability and evaluation platform designed for language model applications. It provides a centralized system for tracking execution traces, monitoring performance metrics, and managing prompt templates. By capturing hierarchical units of work and telemetry data, the platform enables developers to debug complex application lifecycles and analyze token usage, latency, and model interactions in production environments. The platform distinguishes itself through an integrated evaluation framework that allows for systematic benchmarking and automated scoring of model outputs. Users can perform comparative experimentation by running multiple prompt or model versions side-by-side, and convert production traces into versioned test datasets to validate performance against ground truth. A dedicated prompt management system further decouples logic from application code, offering a playground for refinement and dynamic fetching of versioned templates. Beyond core observability, the project supports a comprehensive suite of administrative and operational tools, including organizational access controls, identity provider integration, and automated workflow triggers. It is built for flexible deployment, supporting containerized orchestration in private, cloud, or Kubernetes-based environments to ensure data control and high-availability scaling. The platform is designed for self-hosting and provides infrastructure-as-code templates to facilitate consistent environment setup. It integrates with standard observability ecosystems through open telemetry support and offers programmatic interfaces for headless management and automated deployment workflows. - [specialunderwear/hosts.prefpane](https://awesome-repositories.com/repository/specialunderwear-hosts-prefpane.md) (1,632 ⭐) — a Cocoa GUI for /etc/hosts - [novus/nvd3](https://awesome-repositories.com/repository/novus-nvd3.md) (7,227 ⭐) — nvd3 is a data visualization framework and reusable web graphing library. It provides a collection of interactive charting components built on top of the D3.js library to render complex datasets as graphics within a web browser. The library functions as a wrapper for D3.js, offering predefined chart types and modular templates. This implementation allows for the creation of custom data graphs and web dashboards without requiring the author to write low-level SVG code from scratch. The system utilizes SVG-based vector rendering and attribute-driven styling to generate visualizations. It incorporates data binding and event-driven interactivity to support dynamic data exploration. - [zce/dashboard](https://awesome-repositories.com/repository/zce-dashboard.md) (559 ⭐) — A dashboard scaffolding based on Vue.js 3.0 created by Vite. - [langchain-ai/langchainjs](https://awesome-repositories.com/repository/langchain-ai-langchainjs.md) (17,818 ⭐) — LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes. The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This architecture supports both autonomous agent orchestration and complex multi-agent systems, with built-in capabilities for streaming real-time execution updates and managing long-term memory. Beyond core orchestration, the project offers a comprehensive suite of tools for the entire application lifecycle. This includes integrated observability for tracing and evaluating agent performance, schema-enforced data serialization for reliable communication, and extensive support for deployment, security, and infrastructure management. The project provides a TypeScript-based software development kit and a command-line interface to facilitate local development, testing, and deployment of agentic workflows. - [woop/awesome-quantified-self](https://awesome-repositories.com/repository/woop-awesome-quantified-self.md) (2,657 ⭐) — This project is a curated directory of tools, software, and methodologies designed for the quantified self movement. It serves as a comprehensive resource collection for individuals seeking to track, aggregate, and analyze personal data related to health, productivity, and daily behavioral patterns. The repository focuses on identifying systems that facilitate the consolidation of information from disparate wearables and digital services into centralized locations. It highlights frameworks that enable the logging of personal metrics, the automation of data collection, and the management of habits and goals through consistent tracking and reminders. Beyond basic logging, the collection covers advanced capabilities for processing historical datasets. This includes tools for biometric data analysis, time-series trend identification, and the generation of visual dashboards that transform raw logs into actionable insights. The directory also emphasizes the importance of data portability by featuring solutions that support structured data export for long-term archiving and external analysis. - [akveo/blur-admin](https://awesome-repositories.com/repository/akveo-blur-admin.md) (11,294 ⭐) — Blur Admin is an AngularJS and Bootstrap framework for building responsive administrative dashboards. It provides a set of grid-based templates and predefined layout components designed to create high-resolution management interfaces that adapt to different screen sizes. The framework includes a Sass-based theme engine that allows for the customization of visual appearances, color schemes, and brand identity through a central set of style variables. It specifically features a blur theme effect that applies translucent backgrounds and blurred effects across the interface. The system covers data visualization for business intelligence through the integration of interactive charts and geographic maps. It utilizes a component-based UI architecture and a model-view-controller pattern to separate data logic from the presentation layer. The project uses a Gulp-based build pipeline to automate the compilation of assets, allowing for the deployment of pre-compiled static HTML, CSS, and JavaScript files. - [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. - [danielbayerlein/dashboard](https://awesome-repositories.com/repository/danielbayerlein-dashboard.md) (1,337 ⭐) — 📺 Create your own team dashboard with custom widgets. Built with Next.js, React, styled-components and polished. - [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. - [anthropics/knowledge-work-plugins](https://awesome-repositories.com/repository/anthropics-knowledge-work-plugins.md) (7,583 ⭐) — This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data. The framework enables the automation of specialized professional tasks through a file-based plugin definition system. It allows for the customization of domain expertise and plugin behavior to align with internal company processes, supported by an enterprise data connector that links models to BI tools, project trackers, and knowledge bases. The system covers a wide range of capability areas, including corporate knowledge management with unified enterprise search and cross-source data synthesis. It includes specialized toolsets for bioinformatics pipelines, financial operations automation, engineering lifecycle management, human resources administration, and sales intelligence. Additional capabilities span customer operations, legal contract review, product management, and data analysis. Project progress and workplace knowledge can be tracked via a local HTML dashboard and markdown-based task management. - [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. - [healthchecks/healthchecks](https://awesome-repositories.com/repository/healthchecks-healthchecks.md) (9,891 ⭐) — Healthchecks is a heartbeat monitoring service and cron job monitoring tool designed to track the execution and success of scheduled tasks and systemd timers. It functions as a dead man switch, alerting users when expected periodic signals from remote processes fail to arrive. The system accepts health signals via HTTP and SMTP, allowing it to track infrastructure heartbeats from sources ranging from CI/CD workflows to network routers. It distinguishes itself by supporting the capture of diagnostic data, including exit codes and execution logs, and by calculating the duration between start and success signals to detect hanging jobs. The platform includes a health dashboard, status badge generation, and a Prometheus-compatible metrics exporter for external observability. Alerts are routed through a multi-channel notification system including webhooks and SMS, while large request payloads can be offloaded to S3-compatible object storage. User security is managed through WebAuthn two-factor authentication and optional reverse proxy identity integration. - [otavioschwanck/telescope-alternate.nvim](https://awesome-repositories.com/repository/otavioschwanck-telescope-alternate-nvim.md) (107 ⭐) — Alternate between common files using pre-defined regexp. Just map the patterns and starting navigating between files that are related. - [baserow/baserow](https://awesome-repositories.com/repository/baserow-baserow.md) (4,188 ⭐) — Baserow is a self-hosted, no-code relational database platform built on PostgreSQL. It provides a spreadsheet-like interface for structuring and managing data without writing code, while exposing all database resources via a REST API to support headless architectures. The platform distinguishes itself by integrating large language models and embedding servers to power AI assistants and automated data generation. It further extends its utility as a no-code application builder, allowing users to create custom internal portals, dashboards, and business tools using visual logic and managed data. The system covers a broad range of capabilities, including business process automation with visual triggers, collaborative workspace management, and flexible data visualization through kanban boards, calendars, and timelines. It also supports advanced extensibility via a plugin system for custom field types and view filters, and executes user-defined scripts within a secure webassembly sandbox. Deployment is supported across various environments using Docker Compose, Helm charts for Kubernetes, and cloud infrastructure templates. - [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. - [tobybackstrom/ngx-dashboard](https://awesome-repositories.com/repository/tobybackstrom-ngx-dashboard.md) (1 ⭐) — Responsive drag-and-drop grid dashboards for your app - [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. - [mohsenasm/swarm-dashboard](https://awesome-repositories.com/repository/mohsenasm-swarm-dashboard.md) (0 ⭐) — A simple monitoring dashboard for Docker in Swarm Mode. - [bokeh/bokeh](https://awesome-repositories.com/repository/bokeh-bokeh.md) (20,403 ⭐) — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data in others. The system covers broad capability areas including the composition of complex data analysis dashboards and the customization of visual appearances through themes and styling. It provides a high-level programming interface for rendering interactive charts and exporting visualizations as static images or HTML files. - [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. - [chartbrew/chartbrew](https://awesome-repositories.com/repository/chartbrew-chartbrew.md) (3,641 ⭐) — Chartbrew is a self-hosted business intelligence platform and data visualization engine designed to transform raw data from SQL databases and external API endpoints into interactive charts and dashboards. It serves as a tool for building analytics dashboards that monitor business metrics and KPIs through a privately hosted environment. The platform distinguishes itself with an embedded analytics workflow, allowing users to generate secure, time-limited shared links and iframes to display private charts on external websites. It also provides programmatic chart generation via API and integrates with services such as Google Analytics and OpenAI. The system covers a broad range of capabilities, including multi-tenant resource isolation, automated dataset refreshing via job queues, and result caching. It includes security features such as symmetric data encryption, token-based authentication, and role-based access control for team management. Additionally, the platform supports automated data monitoring with webhook alerts based on chart thresholds. The application is packaged for consistent deployment using Docker containerization and supports one-click installation via cloud marketplace images. - [aperezhortal/flake8-dashboard](https://awesome-repositories.com/repository/aperezhortal-flake8-dashboard.md) (0 ⭐) — flake8-dashboard - [chillzhuang/springblade](https://awesome-repositories.com/repository/chillzhuang-springblade.md) (6,900 ⭐) — SpringBlade is a development framework and platform designed for building multi-tenant SaaS applications. It provides a comprehensive scaffold for both Spring Cloud microservices and monolithic Spring Boot architectures, enabling the rapid construction of enterprise-grade software. The platform distinguishes itself through integrated LLM orchestration and industrial IoT management. It features an LLM orchestration platform that combines large language models with knowledge bases and visual AI agent workflows, alongside an IoT hub for device connectivity, state synchronization, and edge flow orchestration. The system covers a broad range of enterprise capabilities, including low-code 2D and 3D data visualization dashboards, a fine-grained security framework with five-dimensional permission management, and advanced data storage options such as distributed sharding and time-series persistence. It also includes tools for business workflow orchestration, distributed task execution, and automated code scaffolding. - [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. - [nvimdev/dashboard-nvim](https://awesome-repositories.com/repository/nvimdev-dashboard-nvim.md) (2,849 ⭐) — vim dashboard - [colorlibhq/gentelella](https://awesome-repositories.com/repository/colorlibhq-gentelella.md) (21,373 ⭐) — Gentelella is a collection of pre-configured interface templates and a component library designed for building administration panels, data dashboards, and internal management consoles. It provides a Bootstrap 5 based framework that includes accessible web interface templates and PWA-ready dashboard shells. The project features specialized templates for data visualization, utilizing modular chart factories to render line, bar, radar, and heatmap visualizations. It includes a set of ready-to-use interface elements for enterprise prototyping, such as kanban boards, file managers, and interactive data tables. The framework covers a broad range of administrative UI needs, including email interface components, sidebar navigation management, and a fuzzy-search command palette. It incorporates accessibility support through semantic HTML landmarks and ARIA labels, alongside theme-switching capabilities for light and dark modes. - [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 - [appsilon/semantic.dashboard](https://awesome-repositories.com/repository/appsilon-semantic-dashboard.md) (0 ⭐) — semantic.dashboard - [covid19india/covid19india.github.io](https://awesome-repositories.com/repository/covid19india-covid19india-github-io.md) (6,808 ⭐) — This project is a public health monitoring platform and data aggregator that tracks COVID-19 statistics, recovery rates, and vaccination data across India. It functions as a public health data repository, archiving epidemiological metrics for regional impact tracking and research. The platform transforms raw health statistics into an interactive data visualization site. It utilizes a series of dashboards to convert these statistics into visual trends, allowing for the monitoring of regional impacts. The system provides capabilities for epidemiological data analysis, including the collection and export of structured datasets for external research. It covers real-time pandemic tracking and the visualization of regional health metrics and trends. The site is built using a static site generation pipeline that leverages comma-separated value files for data storage and is hosted via GitHub Pages.