# Observability, tracing and logging

> Search results for `Observability, tracing and logging` on awesome-repositories.com. 114 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/observability-tracing-and-logging

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## Results

- [mastra-ai/mastra](https://awesome-repositories.com/repository/mastra-ai-mastra.md) (21,221 ⭐) — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention.

The framework distinguishes itself through its focus on observability and secure, isolated execut
- [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
- [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
- [langchain-ai/langchain](https://awesome-repositories.com/repository/langchain-ai-langchain.md) (139,458 ⭐) — LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows that manage state, memory, and tool execution.

The project distinguishes itself through a durable execution runtime that maintains persistent state across long-running processes by checkpointing progress to external storage. It models agent workflows as directed graphs, allowing
- [dapr/dapr](https://awesome-repositories.com/repository/dapr-dapr.md) (25,510 ⭐) — Dapr is a distributed application runtime that provides a sidecar-based infrastructure layer for building resilient microservices and event-driven applications. By utilizing a sidecar proxy pattern, it abstracts complex infrastructure tasks into standardized, network-accessible APIs, allowing developers to focus on application logic while the runtime handles service discovery, state management, and secure communication.

The platform distinguishes itself through a pluggable component architecture and language-agnostic design, enabling services written in any programming language to interact wi
- [encoredev/encore](https://awesome-repositories.com/repository/encoredev-encore.md) (12,049 ⭐) — Encore is a distributed systems framework designed to unify backend development, infrastructure provisioning, and observability. It functions as an infrastructure-as-code platform that allows developers to define cloud resources, databases, and messaging topics directly within their application code. By analyzing these declarations at compile-time, the system automatically manages the deployment of cloud resources and security policies, ensuring parity between local development and production environments.

The platform distinguishes itself through its integrated development experience, which
- [agenta-ai/agenta](https://awesome-repositories.com/repository/agenta-ai-agenta.md) (3,860 ⭐) — Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from application code. It serves as a centralized system for developing, versioning, and deploying prompt templates and model configurations across different environments.

The platform functions as an AI agent orchestrator with a visual interface for building agent workflows and connecting models to external tools. It further acts as an evaluation framework and observability tool, utilizing OpenTelemetry to capture execution traces, monitor latency, and track token costs.

The system cove
- [blueswen/fastapi-observability](https://awesome-repositories.com/repository/blueswen-fastapi-observability.md) (1,106 ⭐) — Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry.
- [langchain-ai/langchain-mcp-adapters](https://awesome-repositories.com/repository/langchain-ai-langchain-mcp-adapters.md) (3,366 ⭐) — This project provides a translation layer and set of adapters designed to bridge AI agents with the Model Context Protocol. It functions as an integration layer that allows agents to operate as protocol-compliant servers and enables the conversion of protocol-based tools into formats compatible with agent frameworks and logic graphs.

The adapters facilitate tool interoperability by wrapping external protocol tools for use within agent workflows and exposing internal agent capabilities to any client implementing the Model Context Protocol. This creates a communication bridge that supports inte
- [fltsci/tauri-plugin-tracing](https://awesome-repositories.com/repository/fltsci-tauri-plugin-tracing.md) (11 ⭐) — Logging for tauri using the tracing crate
- [gofr-dev/gofr](https://awesome-repositories.com/repository/gofr-dev-gofr.md) (21,321 ⭐) — Gofr is a comprehensive framework for building production-ready microservices in Go. It provides a unified toolkit for developing RESTful APIs and gRPC services, offering built-in support for observability, database management, and distributed system communication.

The framework distinguishes itself through its focus on developer productivity and system resilience. It automates common backend tasks such as CRUD handler generation, schema-driven code creation, and database migration orchestration, while preventing race conditions in clustered environments. To maintain stability, it includes in
- [langchain-ai/deepagents](https://awesome-repositories.com/repository/langchain-ai-deepagents.md) (25,006 ⭐) — Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants.

The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai
- [micrometer-metrics/tracing](https://awesome-repositories.com/repository/micrometer-metrics-tracing.md) (292 ⭐) — Provides tracing abstractions over tracers and tracing system reporters.
- [microsoft/onnxruntime](https://awesome-repositories.com/repository/microsoft-onnxruntime.md) (19,347 ⭐) — This project is a cross-platform machine learning inference engine designed to execute pre-trained models across diverse operating systems and hardware environments. It functions as a standardized execution framework that manages the entire lifecycle of model inference, from loading and graph optimization to hardware-accelerated execution and generative sequence management.

The runtime distinguishes itself through a highly modular architecture that decouples model logic from hardware-specific kernels. By utilizing an execution provider abstraction, it enables developers to offload computation
- [pydantic/pydantic-ai](https://awesome-repositories.com/repository/pydantic-pydantic-ai.md) (17,791 ⭐) — PydanticAI is a Python framework designed for building production-grade autonomous agents. It provides a unified interface for interacting with diverse language models, enabling developers to construct agents that perform complex tasks through structured data validation, tool execution, and multi-turn conversation management. The library centers on type-safe schema enforcement, ensuring that model inputs and outputs remain consistent and reliable throughout the agent's lifecycle.

The framework distinguishes itself through a robust architecture that emphasizes modularity and testability. It ut
- [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
- [pieterclaerhout/go-log](https://awesome-repositories.com/repository/pieterclaerhout-go-log.md) (10 ⭐) — A logging library with strack traces, object dumping and optional timestamps
- [addyosmani/agent-skills](https://awesome-repositories.com/repository/addyosmani-agent-skills.md) (60,849 ⭐) — Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists.

The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated
- [cfahlgren1/observers](https://awesome-repositories.com/repository/cfahlgren1-observers.md) (255 ⭐) — A Lightweight Library for AI Observability
- [tpei/observable](https://awesome-repositories.com/repository/tpei-observable.md) (9 ⭐) — Implementation of the Observer pattern in crystal
- [google/perfetto](https://awesome-repositories.com/repository/google-perfetto.md) (5,558 ⭐) — Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption.

The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we
- [roberthein/observable](https://awesome-repositories.com/repository/roberthein-observable.md) (378 ⭐) — The easiest way to observe values in Swift.
- [openzipkin/zipkin](https://awesome-repositories.com/repository/openzipkin-zipkin.md) (17,431 ⭐) — Zipkin is an open-source distributed tracing system designed to collect, store, and visualize timing data across complex service architectures. It provides a platform for monitoring request lifecycles, enabling developers to identify latency bottlenecks and performance issues by tracking operations as they move through heterogeneous service environments.

The system distinguishes itself through a standardized data model and a pluggable storage architecture that supports various backend databases. It utilizes sampling strategies to manage telemetry volume and employs asynchronous collection met
- [istio/istio](https://awesome-repositories.com/repository/istio-istio.md) (38,226 ⭐) — Istio is a service mesh infrastructure that provides a centralized control plane to manage, secure, and observe communication between distributed microservices. It functions as a policy-driven network traffic controller, enabling developers to route, balance, and secure service-to-service traffic without requiring modifications to application code. The system enforces zero-trust security by utilizing mutual transport layer authentication to verify cryptographic identities for every network request.

The project distinguishes itself through a sidecar-less proxy architecture, which offloads netw
- [google/tracing-framework](https://awesome-repositories.com/repository/google-tracing-framework.md) (2,628 ⭐) — Web Tracing Framework libraries and extensions.
- [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 JavaScr
- [mementum/backtrader](https://awesome-repositories.com/repository/mementum-backtrader.md) (20,462 ⭐) — Backtrader is a Python framework designed for the development, backtesting, and live execution of algorithmic trading strategies. It provides a comprehensive environment for quantitative finance, allowing users to simulate trading logic against historical market data or connect directly to brokerage platforms for automated real-time trading.

The project distinguishes itself through a unified event-driven architecture that treats backtesting and live trading with the same API. This consistency is supported by a flexible data-feed abstraction layer that normalizes diverse financial sources, ena
- [arize-ai/phoenix](https://awesome-repositories.com/repository/arize-ai-phoenix.md) (8,605 ⭐) — Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and monitor large language model applications. It serves as a prompt management system for versioning and testing templates, and as a self-hosted AI operations infrastructure for managing telemetry and experiments.

The platform differentiates itself through a specialized embedding visualization tool used to detect data drift and optimize vector search. It provides a comprehensive evaluation suite that utilizes judge-based evaluators and ground-truth datasets to score model outputs, and
- [aquasecurity/tracee](https://awesome-repositories.com/repository/aquasecurity-tracee.md) (4,377 ⭐) — Tracee is a cloud-native runtime security and forensics tool that uses eBPF to capture system calls and kernel events in real time. It operates as a standalone binary or a Helm-deployable agent for Kubernetes, normalizing system calls, network events, and container activities into a unified event pipeline for consistent analysis.

The tool distinguishes itself through policy-driven event filtering using YAML-based rules, allowing users to target specific workloads and reduce noise during monitoring. It includes built-in threat detection signatures that flag suspicious behavioral patterns witho
- [aws-powertools/powertools-lambda-python](https://awesome-repositories.com/repository/aws-powertools-powertools-lambda-python.md) (3,267 ⭐) — AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS Lambda. It provides a comprehensive suite of tools for observability, event parsing, routing, and idempotency management to streamline the development of serverless applications.

The project distinguishes itself through specialized capabilities for event-driven architectures and AI agent orchestration. It enables the implementation of AI agents by exposing functions as tools via OpenAPI schemas and managing conversation states. Additionally, it features an idempotency library that p
- [ng-log/ng-log](https://awesome-repositories.com/repository/ng-log-ng-log.md) (110 ⭐) — C++ library for application-level logging
- [fosrl/pangolin](https://awesome-repositories.com/repository/fosrl-pangolin.md) (21,255 ⭐) — Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet.

The platform distinguishes itself through a declarative infrastructure model that synchronizes n
- [apollographql/apollo-tracing](https://awesome-repositories.com/repository/apollographql-apollo-tracing.md) (478 ⭐) — A GraphQL extension for performance tracing
- [clojure/tools.trace](https://awesome-repositories.com/repository/clojure-tools-trace.md) (365 ⭐) — 1.3 update of clojure.contrib.trace
- [alibaba/higress](https://awesome-repositories.com/repository/alibaba-higress.md) (7,558 ⭐) — Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures.

The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c
- [berriai/litellm](https://awesome-repositories.com/repository/berriai-litellm.md) (50,579 ⭐) — LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments.

The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc
- [agno-agi/agno](https://awesome-repositories.com/repository/agno-agi-agno.md) (40,717 ⭐) — Agno is an agent operating system designed to manage the lifecycle, tool execution, and persistent state of autonomous agents across distributed infrastructure. It provides a unified runtime environment that wraps diverse agent frameworks into a consistent, interoperable protocol, allowing developers to build and deploy complex multi-agent systems that coordinate tasks and delegate sub-processes.

The platform distinguishes itself through a robust governance and orchestration layer that includes human-in-the-loop approval gates, role-based access control, and a centralized API gateway. It feat
- [katanemo/plano](https://awesome-repositories.com/repository/katanemo-plano.md) (5,120 ⭐) — Plano is an AI agent orchestrator and LLM gateway proxy that unifies access to multiple AI providers through a single interoperable interface. It functions as a model routing engine that decouples applications from specific vendors using semantic aliases, allowing traffic to be shifted between providers without modifying application code.

The system distinguishes itself with intent-based agent routing, which directs prompts to specialized agents based on semantic analysis. It features an interceptor-based filter chain system that acts as guardrail middleware to enforce safety policies, rewrit
- [redux-observable/redux-observable](https://awesome-repositories.com/repository/redux-observable-redux-observable.md) (7,815 ⭐) — RxJS-based middleware for Redux. Compose and cancel async actions to create side effects and more.
- [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
- [heartwilltell/log](https://awesome-repositories.com/repository/heartwilltell-log.md) (17 ⭐) — Simple leveled logging wrapper around standard log package
- [cloudwego/hertz](https://awesome-repositories.com/repository/cloudwego-hertz.md) (7,279 ⭐) — Hertz is a high-performance Go HTTP framework designed for building scalable microservices, RESTful APIs, and AI applications. It functions as a high-performance web server and a communication framework for microservices, utilizing non-blocking I/O and zero-copy memory management to handle high-concurrency traffic.

The project distinguishes itself through a microservices communication toolkit that supports high-efficiency remote procedure calls via gRPC and Thrift protocols. It implements an asynchronous middleware engine based on an onion model, allowing for a pluggable request-response pipe
- [tc39/proposal-observable](https://awesome-repositories.com/repository/tc39-proposal-observable.md) (3,107 ⭐) — Observables for ECMAScript
- [twitter/finagle](https://awesome-repositories.com/repository/twitter-finagle.md) (8,867 ⭐) — Finagle is a distributed service mesh and fault-tolerant remote procedure call framework. It provides a protocol-agnostic network library that implements a consistent interface for different network standards, including HTTP and Thrift.

The project distinguishes itself by integrating a fault tolerance library that prevents cascading failures through circuit breaking and timeout management. It also implements a distributed tracing system to track requests across network boundaries and visualize call graphs.

The framework covers several core capability areas, including dynamic service discover
- [greptimeteam/greptimedb](https://awesome-repositories.com/repository/greptimeteam-greptimedb.md) (5,968 ⭐) — GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment.

What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
- [sindresorhus/awesome-observables](https://awesome-repositories.com/repository/sindresorhus-awesome-observables.md) (350 ⭐) — Awesome Observable related stuff - An Observable is a collection that arrives over time.
- [fermyon/spin](https://awesome-repositories.com/repository/fermyon-spin.md) (6,443 ⭐) — Spin is a WebAssembly serverless framework and development toolchain for building and running portable microservices. It functions as an event-driven orchestrator and runtime that executes WebAssembly components, allowing developers to map HTTP requests, Redis messages, and cron schedules to specific modules.

The project distinguishes itself by implementing a Wasm-based AI inference gateway, enabling components to perform model inference and generate text embeddings. It utilizes the WebAssembly Component Model and WASI for language-agnostic composition and portable host interfacing, while emp
- [phuslu/log](https://awesome-repositories.com/repository/phuslu-log.md) (860 ⭐) — Fastest structured logging
- [pinpoint-apm/pinpoint](https://awesome-repositories.com/repository/pinpoint-apm-pinpoint.md) (13,830 ⭐) — Pinpoint is a distributed application performance management tool designed to trace requests and monitor metrics across large-scale distributed architectures. It functions as a request tracer, topology mapper, and JVM application monitor, providing a backend capable of collecting and visualizing trace data from OpenTelemetry compatible sources.

The system distinguishes itself through a combination of bytecode-based instrumentation via a Java agent and topology-based visualization that renders live maps of service interconnections. It captures execution flow across asynchronous boundaries, suc
- [boostorg/log](https://awesome-repositories.com/repository/boostorg-log.md) (206 ⭐) — Boost Logging library