# Cloud tooling and cost

> Search results for `Cloud tooling and cost` on awesome-repositories.com. 115 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/cloud-tooling-and-cost

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## Results

- [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 ad
- [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
- [dagster-io/dagster](https://awesome-repositories.com/repository/dagster-io-dagster.md) (14,974 ⭐) — Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality.

The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.
- [cloud-custodian/cloud-custodian](https://awesome-repositories.com/repository/cloud-custodian-cloud-custodian.md) (6,011 ⭐) — Cloud Custodian is an open-source rules engine that uses declarative YAML policies to query, filter, and take automated actions on cloud resources for governance and compliance. It functions as a stateless policy execution engine, where each policy evaluation runs as an independent, idempotent operation without maintaining internal state between runs. Policies are defined using a YAML-based domain-specific language that structures rules as a query-filter-action pipeline.

The engine supports dry-run validation, allowing users to simulate policy actions against live resources without applying c
- [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 extensibilit
- [jasonwilbur/cloud-cost-mcp](https://awesome-repositories.com/repository/jasonwilbur-cloud-cost-mcp.md) (3 ⭐) — Model Context Protocol server for Cloud Infrastructure pricing information
- [salesforce/cost](https://awesome-repositories.com/repository/salesforce-cost.md) (238 ⭐) — Figure 1. Overall CoST Architecture.
- [anthropics/claude-code](https://awesome-repositories.com/repository/anthropics-claude-code.md) (132,728 ⭐) — Anthropic's terminal-native AI coding agent.
- [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 contain
- [dragondrop-cloud/cloud-concierge](https://awesome-repositories.com/repository/dragondrop-cloud-cloud-concierge.md) (245 ⭐) — "Terraform best practices as a Pull Request." Codify resources outside of Terraform control, detect drift, estimate cloud costs, identify security risks, and more.
- [coder/coder](https://awesome-repositories.com/repository/coder-coder.md) (12,272 ⭐) — Coder is a self-hosted platform for provisioning and managing isolated, containerized development environments. It provides a centralized infrastructure for teams to deploy ephemeral workspaces on private cloud or on-premises hardware, ensuring consistent toolchains and dependencies across distributed development environments.

The platform distinguishes itself through its focus on secure, infrastructure-as-code governance and autonomous agent integration. It allows organizations to define reusable, versioned environment templates that integrate with existing identity providers and role-based
- [springzfx/point-cloud-annotation-tool](https://awesome-repositories.com/repository/springzfx-point-cloud-annotation-tool.md) (515 ⭐) — It is a tool used to annotate 3D box in point cloud. Point cloud in KITTI-bin format is supported. Annotation format is the same as Applo 3D format. Data examples can be found at here.
- [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
- [juspay/hyperswitch](https://awesome-repositories.com/repository/juspay-hyperswitch.md) (43,019 ⭐) — Hyperswitch is a payment orchestration platform designed to manage complex transaction lifecycles through a centralized control layer. It functions as a processor-agnostic integration hub that standardizes disparate external payment APIs, allowing businesses to route transactions across multiple providers to optimize for authorization rates and cost efficiency. The platform utilizes a state-machine-based architecture to track every payment from initial authentication to final settlement, ensuring consistent processing and reliable error recovery.

What distinguishes the platform is its intelli
- [sapph1re/agent-cost-guardrails](https://awesome-repositories.com/repository/sapph1re-agent-cost-guardrails.md) (0 ⭐) — Budget limits and cost guardrails for AI agent frameworks. Prevents runaway API spend with hard budget enforcement, circuit breakers, and per-agent cost tracking.
- [infracost/infracost](https://awesome-repositories.com/repository/infracost-infracost.md) (12,369 ⭐) — Infracost is an infrastructure-as-code financial governance platform that calculates the cost impact of cloud resource changes. By performing static analysis on configuration files, the tool identifies infrastructure resources and their properties to estimate spending changes before deployment occurs.

The platform distinguishes itself by integrating directly into development workflows, providing automated cost reporting and policy validation within pull request comments. It utilizes a modular architecture to map infrastructure definitions to real-time pricing data from cloud providers, allowi
- [dragonflydb/dragonfly](https://awesome-repositories.com/repository/dragonflydb-dragonfly.md) (30,688 ⭐) — Dragonfly is a high-performance, multi-model in-memory data store designed to serve as a drop-in replacement for existing database infrastructures. By utilizing a multi-threaded, shared-nothing architecture and a fiber-based concurrency model, it maximizes CPU utilization and minimizes latency for read and write operations. The system supports a wide range of data structures, including strings, hashes, lists, sets, sorted sets, and JSON documents, while maintaining full compatibility with standard industry wire protocols and client libraries.

What distinguishes Dragonfly is its focus on effic
- [antonbabenko/terraform-cost-estimation](https://awesome-repositories.com/repository/antonbabenko-terraform-cost-estimation.md) (730 ⭐) — Anonymized, secure, and free Terraform cost estimation based on Terraform plan (0.12+) or Terraform state (any version)
- [heyputer/puter](https://awesome-repositories.com/repository/heyputer-puter.md) (42,318 ⭐) — Puter is a browser-based desktop environment and cloud-native development platform that provides a virtualized graphical workspace. It enables developers to build and deploy full-stack web applications by integrating cloud storage, authentication, and serverless backend logic directly into the browser, eliminating the need for traditional server infrastructure.

The platform distinguishes itself through a unified cloud storage layer and a distributed network runtime that facilitates peer-to-peer communication and cross-origin resource fetching. It features a sophisticated cross-window orchestr
- [robusta-dev/krr](https://awesome-repositories.com/repository/robusta-dev-krr.md) (4,466 ⭐) — KRR is an open-source tool for analyzing Kubernetes resource requests and recommendations. It evaluates how pods are currently configured and provides suggestions for optimizing CPU and memory allocations based on actual usage patterns.

The project focuses on helping teams right-size their Kubernetes workloads by identifying over-provisioned and under-provisioned resources. It scans clusters and generates reports that highlight where adjustments can reduce costs or improve performance without compromising reliability.

KRR is distributed as a Python command-line tool that can be run directly
- [spectacularai/point-cloud-tools](https://awesome-repositories.com/repository/spectacularai-point-cloud-tools.md) (0 ⭐)
- [opencost/opencost](https://awesome-repositories.com/repository/opencost-opencost.md) (6,605 ⭐) — OpenCost is an open-source tool for monitoring and allocating Kubernetes and cloud infrastructure costs. It provides real-time visibility into spending by distributing asset costs to workloads based on resource requests and usage, breaking down spend by namespace, deployment, pod, and label. The system functions as both a Kubernetes cost allocation engine and a multi-cloud cost analyzer, ingesting billing data from AWS, Azure, and GCP to present unified cost metrics alongside cluster costs.

The tool distinguishes itself through its allocation-based cost model, which compares requested versus
- [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
- [harvard-edge/cs249r_book](https://awesome-repositories.com/repository/harvard-edge-cs249r-book.md) (20,217 ⭐) — This project is a comprehensive educational framework designed to teach the design, deployment, and performance optimization of machine learning systems. It provides a structured curriculum that covers the full stack of artificial intelligence engineering, ranging from the construction of core framework components like tensors and automatic differentiation engines to the orchestration of large-scale distributed training clusters.

The platform distinguishes itself through its integration of physics-grounded systems modeling and interactive simulation environments. Users can experiment with dis
- [aschhoff/esp32-433mhz-receiver-and-tools](https://awesome-repositories.com/repository/aschhoff-esp32-433mhz-receiver-and-tools.md) (11 ⭐) — ESP32 433Mhz Receiver written in micropython and Tools for Windows
- [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 se
- [nnikolaou/cost-sensitive-boosting-tutorial](https://awesome-repositories.com/repository/nnikolaou-cost-sensitive-boosting-tutorial.md) (26 ⭐) — The tutorial 'CalibratedAdaMEC_ExtendedVersion.ipynb' introduces the concepts of asymmetric (cost-sensitive and/or imbalanced class) learning, decision theory and boosting. It briefly describes the results of the paper:
- [kananinirav/aws-certified-cloud-practitioner-notes](https://awesome-repositories.com/repository/kananinirav-aws-certified-cloud-practitioner-notes.md) (3,829 ⭐) — This project is a collection of structured study notes and conceptual breakdowns designed for the AWS Certified Cloud Practitioner exam. It serves as a technical reference and study guide, organizing cloud service details and architectural principles to assist in certification preparation.

The knowledge base is built using markdown files and includes curated cheat sheets and interactive mind-map visualizations. These tools map complex certification topics into visual hierarchies to enable drill-down study paths and rapid revision.

The materials cover a wide range of cloud capabilities, inclu
- [zankner/cloud](https://awesome-repositories.com/repository/zankner-cloud.md) (75 ⭐) — C ritique-out- Loud Reward Models (CLoud)
- [cloud-hypervisor/cloud-hypervisor](https://awesome-repositories.com/repository/cloud-hypervisor-cloud-hypervisor.md) (5,285 ⭐) — Cloud Hypervisor is a Rust-based hypervisor and KVM virtual machine monitor designed to execute 64-bit guest operating systems. It functions as a user-space virtual machine manager that employs a minimal emulation layer to reduce memory overhead and latency for cloud workloads.

The project distinguishes itself through the use of a memory-safe language to implement a virtio device emulator and a user-space device model. It provides a standardized web API for managing virtual machine lifecycles and resource configurations.

The platform covers broad virtualization capabilities, including the em
- [stellar/stellar-core](https://awesome-repositories.com/repository/stellar-stellar-core.md) (3,269 ⭐) — Stellar Core is the primary software implementation of the Stellar blockchain network, serving as a distributed ledger and a Federated Byzantine Agreement system. It functions as a core node that maintains the shared state of the network and provides a runtime environment for executing WebAssembly smart contracts.

The project enables the creation and management of digital assets, including the implementation of decentralized exchanges through distributed orderbooks and automated liquidity pools. It facilitates cross-border payment settlement by routing assets via path payments and bridging di
- [j3ssie/osmedeus](https://awesome-repositories.com/repository/j3ssie-osmedeus.md) (6,425 ⭐) — Osmedeus is an LLM security orchestration engine and AI agent framework designed to automate security workflows. It functions as a declarative workflow automator that uses YAML definitions to coordinate AI agents, shell commands, and distributed scanning tools through a directed acyclic graph.

The system distinguishes itself by deploying autonomous AI agents that use tool-calling loops and conversation memory to plan and execute complex analysis tasks. It features a specialized Agent Communication Protocol to delegate tasks to external AI binaries and supports recursive sub-agent orchestratio
- [cost-97/reinbot](https://awesome-repositories.com/repository/cost-97-reinbot.md) (7 ⭐) — This repo contains code for the paper:
- [pulumi/pulumi](https://awesome-repositories.com/repository/pulumi-pulumi.md) (24,797 ⭐) — Pulumi is an infrastructure-as-code framework that enables the definition, deployment, and management of cloud resources using general-purpose programming languages. It functions as a cloud resource orchestrator that coordinates the lifecycle of heterogeneous infrastructure by executing code to construct dependency graphs and reconciling the desired state against actual cloud environments.

The platform distinguishes itself through a language-host runtime bridge that allows developers to use standard programming languages to define infrastructure, rather than relying solely on domain-specific
- [griptape-ai/griptape](https://awesome-repositories.com/repository/griptape-ai-griptape.md) (2,541 ⭐) — Griptape is a Python framework for building generative AI applications, autonomous agents, and complex AI workflows. It functions as both an AI agent orchestrator and a workflow engine, capable of managing sequential pipelines and directed acyclic graphs to ensure predictable execution of AI tasks.

The framework distinguishes itself through a focus on security and governance, utilizing a Docker-based environment to execute model-generated code and shell commands in isolation. It employs a driver-based abstraction layer that allows developers to swap language model providers and vector stores
- [ayrus/afterglow-cloud](https://awesome-repositories.com/repository/ayrus-afterglow-cloud.md) (16 ⭐) — AfterGlow Cloud is a security visualization tool which lets users upload data and visualize the data as graphs on-the-fly (part of Google Summer of Code 2012).
- [frappe/erpnext](https://awesome-repositories.com/repository/frappe-erpnext.md) (35,726 ⭐) — ERPNext is a comprehensive enterprise resource planning suite designed to integrate core organizational functions, including accounting, inventory, human resources, and project management, into a single unified platform. It operates as a metadata-driven business application, where data structures and application logic are defined through configuration rather than hard-coded programming to facilitate rapid customization.

The system distinguishes itself through a robust security and governance framework that enforces granular, role-based access control across all document operations. It feature
- [voltagent/awesome-claude-code-subagents](https://awesome-repositories.com/repository/voltagent-awesome-claude-code-subagents.md) (21,906 ⭐) — This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability.

The framework distinguishes itself through its hierarchical agent registry and policy-driven
- [lensapp/lens](https://awesome-repositories.com/repository/lensapp-lens.md) (23,180 ⭐) — Lens is a multi-cluster management platform and desktop application for administering Kubernetes environments. It provides a graphical interface for deploying Helm charts, editing YAML manifests, and managing the lifecycle of pods and deployments.

The project features an AI-powered cluster assistant that enables users to query cluster state, perform autonomous troubleshooting, and translate natural language requests into system commands. It also supports collaborative team access through shared spaces, utilizing encrypted cluster sharing and role-based access control to manage credentials and
- [canonical/cloud-init](https://awesome-repositories.com/repository/canonical-cloud-init.md) (3,729 ⭐) — Official upstream for the cloud-init: cloud instance initialization
- [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
- [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
- [openfaas/openfaas-cloud](https://awesome-repositories.com/repository/openfaas-openfaas-cloud.md) (770 ⭐) — OpenFaaS Cloud
- [signoz/signoz](https://awesome-repositories.com/repository/signoz-signoz.md) (27,355 ⭐) — SigNoz is a full-stack observability platform designed to collect, store, and visualize metrics, logs, and distributed traces in a unified environment. It leverages OpenTelemetry-based data collection to ingest telemetry from diverse sources using vendor-neutral protocols, ensuring interoperability across complex microservices architectures. The platform utilizes a high-performance columnar storage engine to enable rapid aggregation and filtering, providing a centralized backend for monitoring application health and performance.

What distinguishes the platform is its focus on automated instru
- [tensult/cloud-reports](https://awesome-repositories.com/repository/tensult-cloud-reports.md) (280 ⭐) — Scans your AWS cloud resources and generates reports. Check out free hosted version:
- [elastic/elasticsearch](https://awesome-repositories.com/repository/elastic-elasticsearch.md) (77,012 ⭐) — Elasticsearch is a distributed search engine and document store designed for the high-performance indexing and retrieval of massive volumes of unstructured data. It functions as a centralized analytics platform, providing a schema-flexible architecture that organizes information into searchable indices while maintaining global cluster state through a distributed consensus mechanism.

The platform distinguishes itself through its integrated approach to observability, security, and advanced analytics. It combines full-text, vector, and hybrid search capabilities with machine learning-driven insi
- [uzju/cloud-bucket-leak-detection-tools](https://awesome-repositories.com/repository/uzju-cloud-bucket-leak-detection-tools.md) (1,258 ⭐) — 六大云存储，泄露利用检测工具
- [dbt-labs/dbt-core](https://awesome-repositories.com/repository/dbt-labs-dbt-core.md) (13,051 ⭐) — dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history.

The project distinguishes itself through an adapter-based d
- [temporalio/temporal](https://awesome-repositories.com/repository/temporalio-temporal.md) (18,411 ⭐) — Temporal is a distributed workflow orchestration engine designed to manage fault-tolerant, stateful, and long-running background processes. It functions as a platform for coordinating complex cross-service operations, ensuring consistency and reliability in distributed environments by decoupling workflow orchestration from task execution.

The platform distinguishes itself through a deterministic, event-sourced execution model that reconstructs workflow state by re-executing code from an immutable event log. This approach isolates non-deterministic side effects into managed activities, allowin
- [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