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Observability, tracing and logging

Ranking updated Jun 23, 2026

For Observability, tracing and logging, the strongest matches are posthog/posthog (PostHog is a comprehensive product analytics and feature management), langchain-ai/langchain (LangChain is an orchestration framework designed for building, managing) and brendangregg/flamegraph (FlameGraph is a performance profiling and visualization toolkit designed). signoz/signoz and ipfs/kubo round out the shortlist. Each is ranked by relevance to your query, popularity and recent activity.

Explore open-source tools for distributed tracing, centralized logging, and comprehensive system performance monitoring and analysis.

Observability, tracing and logging

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  • posthog/posthogPostHog avatar

    PostHog/posthog

    35,060View on GitHub↗

    PostHog is a comprehensive product analytics and feature management platform designed to capture, process, and visualize user behavior data. It provides a unified suite for tracking application events, managing feature rollouts, and monitoring system health through session recordings and error tracking. By leveraging a columnar-storage-optimized architecture, the platform enables high-performance aggregation and filtering across massive event datasets. What distinguishes PostHog is its integrated approach to data pipelines and application control. It features a robust event ingestion system t

    PythonFeature Flag ManagementFeature FlaggingProduct Analytics
    View on GitHub↗35,060
  • langchain-ai/langchainlangchain-ai avatar

    langchain-ai/langchain

    139,458View on GitHub↗

    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

    PythonAgent Orchestration FrameworksLLM Application OrchestrationLLM Integration Layers
    View on GitHub↗139,458
  • brendangregg/flamegraphbrendangregg avatar

    brendangregg/FlameGraph

    19,307View on GitHub↗

    FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software execution. It functions as a processing engine that transforms raw stack trace samples into interactive, hierarchical diagrams. By representing aggregated execution frequency as nested rectangles, the tool allows developers to visualize hot code paths and analyze system behavior across both kernel and user-space environments. The project distinguishes itself through its ability to perform differential profile analysis, which highlights performance regressions or improvements by compari

    PerlFlame Graph GeneratorsCPU ProfilersFlame Graph Generators
    View on GitHub↗19,307
  • signoz/signozSigNoz avatar

    SigNoz/signoz

    27,355View on GitHub↗

    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

    TypeScriptObservability PlatformsAnalytical DatabasesApplication Performance Monitoring
    View on GitHub↗27,355
  • ipfs/kuboipfs avatar

    ipfs/kubo

    17,056View on GitHub↗

    Kubo is a peer-to-peer implementation of the InterPlanetary File System (IPFS) designed for decentralized data storage and content delivery. It uses content-addressing, directed acyclic graphs, and distributed hash tables to identify, distribute, and retrieve data across a network without relying on central servers. The project differentiates itself by providing a virtual filesystem via FUSE, which maps decentralized network namespaces to local operating system directories for direct file access. It also includes integrated HTTP gateways that translate peer-to-peer content into standard web t

    GoContent-Addressable StoragePeer-to-Peer Distribution ProtocolsPeer-to-Peer File Sharing
    View on GitHub↗17,056
  • uber-go/zapuber-go avatar

    uber-go/zap

    24,329View on GitHub↗

    Zap is a high-performance structured logging library designed for production environments. It provides a framework for generating machine-readable logs that minimize memory overhead and CPU usage, allowing for efficient event analysis and system monitoring. The library distinguishes itself through a focus on zero-allocation logging, utilizing buffer pooling to reduce garbage collection pressure during high-frequency operations. It enforces strict data typing through compile-time checks and structured field encoding, which ensures consistent output without the performance cost of reflection-ba

    GoLogging LibrariesStructured Logging FrameworksHigh-Performance Logging
    View on GitHub↗24,329
  • vercel-labs/agent-browservercel-labs avatar

    vercel-labs/agent-browser

    36,203View on GitHub↗

    This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions as a controller that translates natural language instructions into deterministic browser actions, allowing agents to interact with websites, perform data extraction, and manage complex authentication flows. By leveraging accessibility trees and semantic element resolution, the framework mimics human-like navigation, moving beyond brittle DOM selectors to interact reliably with modern web interfaces. The framework distinguishes itself through its focus on secure, scalable exec

    RustAI-Driven Browser ControlsAutonomous Web AgentsBrowser Automation Agents
    View on GitHub↗36,203
  • getsentry/sentrygetsentry avatar

    getsentry/sentry

    44,108View on GitHub↗

    This project is a comprehensive software observability suite and application performance monitoring platform designed to track runtime errors, performance bottlenecks, and system health. It functions as a centralized diagnostic service that aggregates and categorizes exceptions, providing the infrastructure necessary to visualize complex execution paths across distributed systems and microservices. The platform distinguishes itself through a high-throughput distributed event ingestion pipeline and a columnar storage analytics engine that enables rapid aggregation of large-scale performance me

    PythonApplication Performance MonitoringApplication Performance Monitoring PlatformsIncident Management Systems
    View on GitHub↗44,108
  • yuzutech/krokiyuzutech avatar

    yuzutech/kroki

    3,967View on GitHub↗

    Kroki is a text-to-diagram rendering API and diagram-as-code server that transforms plain text definitions from various modeling languages into SVG or PNG images. It functions as a multi-language diagram renderer, providing a unified interface to generate flowcharts, UML diagrams, and charts using a collection of external libraries. The system utilizes a container-based plugin architecture and a sidecar rendering model to isolate external rendering engines. This design allows for the addition of new diagramming languages via companion containers and ensures stateless image generation where so

    JavaScriptDiagram RenderersText-to-Diagram GeneratorsBinary Wrappers
    View on GitHub↗3,967
  • dapr/daprdapr avatar

    dapr/dapr

    25,510View on GitHub↗

    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

    GoAgentic FrameworksWorkflow Orchestration EnginesAgentic AI Frameworks
    View on GitHub↗25,510
  • boundaryml/bamlBoundaryML avatar

    BoundaryML/baml

    7,636View on GitHub↗

    BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg

    RustAPI Client GeneratorsLLM Client GeneratorsLLM Response Parsers
    View on GitHub↗7,636
  • netdata/netdatanetdata avatar

    netdata/netdata

    79,176View on GitHub↗

    Netdata is a distributed observability platform designed for real-time infrastructure monitoring and performance tracking. It functions as a high-frequency agent that collects system, container, and application metrics with per-second precision, providing both local visualization and centralized aggregation across complex, multi-cloud environments. The platform distinguishes itself through edge-based intelligence, utilizing local machine learning models to automatically detect performance anomalies without requiring manual configuration or external query engines. Its architecture prioritizes

    CDistributed Observability PlatformsInfrastructure MonitoringMetric and Performance Monitors
    View on GitHub↗79,176
  • arize-ai/phoenixArize-ai avatar

    Arize-ai/phoenix

    8,605View on GitHub↗

    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

    Jupyter NotebookLLM EvaluationLLM Evaluation FrameworksAI Observability Tracing
    View on GitHub↗8,605
  • mlflow/mlflowmlflow avatar

    mlflow/mlflow

    26,554View on GitHub↗
    PythonAgent Evaluation ToolsAI GatewaysExperiment Tracking
    View on GitHub↗26,554
  • rstudio/shinyrstudio avatar

    rstudio/shiny

    5,608View on GitHub↗

    Shiny is a framework for building interactive web applications using R code, eliminating the need for HTML, CSS, or JavaScript. At its core, it provides a reactive programming model that automatically tracks data dependencies and re-executes only the parts of an application that depend on changed inputs. The framework handles server-side UI rendering and maintains persistent WebSocket connections between the browser and server for real-time updates without page reloads. The framework distinguishes itself through deep integration with the R ecosystem, including the ability to embed interactive

    RInteractive Web Application FrameworksR Web Application FrameworksReactive Dependency Re-execution
    View on GitHub↗5,608
  • grpc/grpcgrpc avatar

    grpc/grpc

    44,891View on GitHub↗

    gRPC is a language-agnostic remote procedure call framework designed for high-performance communication between distributed services. It utilizes a structured interface definition language to generate consistent client stubs and server skeletons, enabling applications to invoke methods on remote servers as if they were local objects. By leveraging the HTTP/2 transport layer, the framework supports efficient binary serialization and multiplexed data exchange across diverse programming environments. The framework distinguishes itself through its support for flexible communication patterns, incl

    C++Remote Procedure Call FrameworksRemote Procedure CallsHTTP/2 Transport Layers
    View on GitHub↗44,891
  • thomhurst/tunitthomhurst avatar

    thomhurst/TUnit

    3,744View on GitHub↗

    TUnit is a comprehensive C# testing framework, mocking library, and fluent assertion tool. It utilizes source generation for test discovery and mock creation, ensuring compatibility with Native AOT and IL trimming by eliminating the need for runtime reflection and proxies. The framework provides specialized capabilities for integration testing, including the management of distributed application lifecycles, isolated database schemas, and the correlation of telemetry and logs across process boundaries via OTLP. It also includes an HTTP testing utility to intercept network exchanges and mock AP

    C#Test FrameworksUnit Testing FrameworksAOT-Compatible Data Sources
    View on GitHub↗3,744
  • prometheus/prometheusprometheus avatar

    prometheus/prometheus

    64,569View on GitHub↗

    Prometheus is a comprehensive monitoring and alerting platform designed to track infrastructure health and application performance. It functions as a time series database that ingests, indexes, and queries high-frequency numerical data points. By utilizing a pull-based model, the system periodically collects multi-dimensional metrics from monitored targets, storing them in an optimized block storage format that supports high-throughput ingestion and efficient historical analysis. The platform distinguishes itself through a specialized query engine that enables real-time analysis of performanc

    GoOperational Health and AlertingTime SeriesTime-Series Block Storage
    View on GitHub↗64,569
  • cloudwego/einocloudwego avatar

    cloudwego/eino

    9,675View on GitHub↗

    Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che

    GoAgent Workflow OrchestrationsAgentic Workflow OrchestrationAI Agent Orchestrators
    View on GitHub↗9,675
  • grafana/grafanagrafana avatar

    grafana/grafana

    74,456View on GitHub↗

    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

    TypeScriptObservability Data PlatformsObservability DashboardsTelemetry Collection and Aggregation
    View on GitHub↗74,456
  • microsoft/mimallocmicrosoft avatar

    microsoft/mimalloc

    13,090View on GitHub↗

    Mimalloc is a general purpose dynamic memory allocator for C and C++ designed to increase execution speed and reduce fragmentation. It functions as a scalable heap manager that replaces standard library allocation functions to improve performance and memory efficiency across applications. The project distinguishes itself as both a heap security hardener and a memory corruption detector. It employs randomized allocation, encrypted free lists, and sampled guard pages to mitigate heap exploits and identify buffer overflows or use-after-free errors during runtime. The allocator provides capabili

    CCustom Memory AllocatorsHigh Performance AllocatorsCorruption Detectors
    View on GitHub↗13,090
  • greenrobot/eventbusgreenrobot avatar

    greenrobot/EventBus

    24,760View on GitHub↗

    EventBus is a publish-subscribe messaging library designed to facilitate decoupled communication between components in Java applications. It functions as a central hub where producers dispatch events that are routed to subscribers based on the class type of the payload. By using annotation-based markers, the system maps event handlers to specific data types, allowing different parts of an application to exchange information without requiring direct references between classes. The library distinguishes itself through a focus on performance and execution control. It utilizes a compile-time inde

    JavaEvent Bus SystemsMessage BusesEvent Messaging Systems
    View on GitHub↗24,760
  • tqdm/tqdmtqdm avatar

    tqdm/tqdm

    31,203View on GitHub↗

    Tqdm is a terminal-based progress indicator that provides real-time visual feedback for long-running tasks and data processing pipelines. It functions as an iteration tracking wrapper, allowing developers to monitor the completion status of loops and data streams by wrapping standard iterables without modifying the underlying data source. The project distinguishes itself through its use of terminal escape sequences to render dynamic text and graphical bars that update in place. It supports both automatic tracking of iterable collections and manual progress incrementing for non-linear tasks wh

    PythonProgress IndicatorsIteration WrappersIterable Trackers
    View on GitHub↗31,203
  • mastra-ai/mastramastra-ai avatar

    mastra-ai/mastra

    21,221View on GitHub↗

    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

    TypeScriptAI Agent Orchestration FrameworksAI AgentsAI Application Deployment Platforms
    View on GitHub↗21,221
  • socketio/socket.iosocketio avatar

    socketio/socket.io

    63,195View on GitHub↗

    Socket.io is a real-time communication engine that enables bidirectional, event-based data exchange between clients and servers. It provides a robust transport-agnostic protocol layer that automatically manages connection lifecycles, including heartbeat signals, automatic reconnection, and seamless fallback between WebSockets and HTTP long-polling. By maintaining persistent links, it ensures reliable messaging across diverse network environments. The project distinguishes itself through a scalable, distributed architecture that supports multi-node synchronization and room-based message routin

    TypeScriptConnection Establishment ProtocolsConnection Lifecycle ManagersDistributed Pub-Sub Adapters
    View on GitHub↗63,195
  • nats-io/nats-servernats-io avatar

    nats-io/nats-server

    20,076View on GitHub↗

    NATS Server is a high-performance, lightweight messaging system designed for cloud-native applications, edge computing, and distributed microservices. It functions as a distributed publish-subscribe broker that routes messages using hierarchical, dot-separated subject strings, enabling decoupled communication between services without requiring centralized broker lookups. The system supports core messaging patterns including asynchronous publish-subscribe, request-reply, and load-balanced queue processing. The platform distinguishes itself through a decentralized architecture that eliminates t

    GoDistributed MessagingPublish-Subscribe MessagingClient-to-Client Messaging
    View on GitHub↗20,076
  • nicolargo/glancesnicolargo avatar

    nicolargo/glances

    32,840View on GitHub↗

    Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health metrics across diverse computing environments. It functions as a command-line utility that provides a unified view of system performance, identifying bottlenecks and maintaining infrastructure stability through a consistent abstraction layer that translates kernel calls into actionable data. The project distinguishes itself through its distributed capabilities, offering a web-based interface that enables remote access to live performance metrics from any device without requiring d

    PythonPerformance MonitoringSystem Health MonitorsSystem Resource Monitors
    View on GitHub↗32,840
  • pinpoint-apm/pinpointpinpoint-apm avatar

    pinpoint-apm/pinpoint

    13,830View on GitHub↗

    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

    JavaApplication Performance MonitoringAsynchronous TracingCoroutine State Inspection
    View on GitHub↗13,830
  • gofiber/fibergofiber avatar

    gofiber/fiber

    39,849View on GitHub↗

    Fiber is a high-performance web framework designed for building scalable HTTP services with minimal memory overhead. It provides a comprehensive runtime environment for managing the full request lifecycle, utilizing an optimized radix tree for high-speed route matching and an object pooling system to reduce garbage collection pressure during traffic processing. The framework distinguishes itself through its multi-process architecture, which supports prefork socket reuse to distribute incoming traffic across all available CPU cores. It offers a modular approach to application development, feat

    GoHigh-Performance HTTP ServersHTTP RoutersRequest Lifecycle Managers
    View on GitHub↗39,849
  • aws-powertools/powertools-lambda-pythonaws-powertools avatar

    aws-powertools/powertools-lambda-python

    3,267View on GitHub↗

    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

    PythonServerless Function DevelopmentAgent-Integrated FunctionsAPI Request Handling
    View on GitHub↗3,267
  • labstack/echolabstack avatar

    labstack/echo

    32,451View on GitHub↗

    Echo is a high-performance, lightweight web framework for Go designed for building scalable RESTful APIs and web services. It provides a centralized environment for mapping network requests to handler functions, utilizing a fast radix-tree routing engine to ensure efficient request dispatching. The framework is built around a modular, middleware-centric pipeline that allows developers to execute reusable logic for cross-cutting concerns like authentication, logging, and security across the entire application. What distinguishes Echo is its focus on developer productivity through structured da

    GoHigh-Performance Web FrameworksMiddlewareRESTful API Development
    View on GitHub↗32,451
  • hyperdxio/hyperdxhyperdxio avatar

    hyperdxio/hyperdx

    9,324View on GitHub↗

    HyperDX is an OpenTelemetry observability platform that provides centralized log management, distributed tracing, and a self-hosted monitoring stack. It functions as a unified system for collecting, indexing, and visualizing logs, metrics, and traces from cloud and container environments. The platform distinguishes itself with specialized tooling for large language model monitoring and session replay, allowing user interactions in the browser to be linked to backend telemetry. It employs schema-less JSON parsing to index structured logs dynamically and uses source maps to resolve minified sta

    TypeScriptCentralized Logging SystemsOpenTelemetry IngestionTelemetry Collection and Aggregation
    View on GitHub↗9,324
  • actix/actix-webactix avatar

    actix/actix-web

    24,421View on GitHub↗

    Actix Web is an asynchronous web framework designed for building high-performance network services. It provides a foundation for processing concurrent requests through a non-blocking execution model, utilizing an actor-based concurrency system to manage lightweight processes and message passing. The framework includes a low-level networking layer that handles the parsing and serialization of HTTP traffic according to standard specifications. The framework distinguishes itself through a type-safe routing engine that enforces strict data types at compile time, ensuring that request parameters a

    RustAsynchronous RuntimesAsynchronous Web FrameworksHTTP Implementations
    View on GitHub↗24,421
  • hyperf/hyperfhyperf avatar

    hyperf/hyperf

    6,855View on GitHub↗

    Hyperf is a high-performance PHP coroutine framework designed for building microservices and middleware. It utilizes non-blocking coroutines to handle high concurrency and low-latency request processing, providing a foundation for scalable distributed systems. The framework is distinguished by an aspect-oriented programming based dependency injector that enables pluggable components and meta-programming. It includes a coroutine-optimized object-relational mapper with integrated model caching and an orchestration toolkit for microservice governance, featuring service discovery, circuit breaker

    PHPHigh-Performance HTTP ServersPHP Coroutine RuntimesPHP Implementations
    View on GitHub↗6,855
  • pallets/flaskpallets avatar

    pallets/flask

    71,703View on GitHub↗

    Flask is a micro web framework designed for building web services with a flexible, lightweight structure. It functions as a standard-compliant WSGI application server, providing the essential tools required to register URL routes, handle incoming HTTP requests, and construct responses. By utilizing a central application object, it allows developers to manage routing rules, template settings, and resource loading within a unified project environment. The framework distinguishes itself through a modular component architecture that enables the organization of routes, templates, and static files

    PythonApplication RegistriesMicro-frameworksRequest Data Accessors
    View on GitHub↗71,703
  • openzipkin/zipkinopenzipkin avatar

    openzipkin/zipkin

    17,431View on GitHub↗

    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

    JavaDistributed Tracing SystemsApplication Performance Monitoring PlatformsDistributed Tracing
    View on GitHub↗17,431
  • rwf2/rocketrwf2 avatar

    rwf2/Rocket

    25,747View on GitHub↗

    Rocket is a type-safe web framework designed for building server-side applications. It provides a high-performance asynchronous routing engine that maps incoming network traffic to concurrent handler functions, while managing the full lifecycle of web requests. The framework emphasizes compile-time verification, ensuring that request parameters, response types, and routing logic remain consistent throughout the development process. The framework distinguishes itself through its use of request guards, which act as a validation layer to intercept and transform incoming data into structured type

    RustRequest RoutersRoute HandlersType-Safe Web Frameworks
    View on GitHub↗25,747
  • langchain-ai/langchainjslangchain-ai avatar

    langchain-ai/langchainjs

    17,818View on GitHub↗

    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

    TypeScriptAgentic Workflow OrchestrationAutonomous Agent OrchestrationAgent Observability
    View on GitHub↗17,818
  • langfuse/langfuselangfuse avatar

    langfuse/langfuse

    29,190View on GitHub↗

    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

    TypeScriptLLM ObservabilityAI Observability and EvaluationAutomated Trace Evaluation
    View on GitHub↗29,190
  • gin-gonic/gingin-gonic avatar

    gin-gonic/gin

    88,694View on GitHub↗

    Gin is a web framework designed for building high-performance web services and APIs. It functions as a middleware-oriented engine that processes incoming HTTP requests through a sequential chain of handlers, allowing for the modular management of cross-cutting concerns such as authentication and logging. The framework utilizes a radix tree data structure to perform request routing, ensuring high-speed path matching with minimal memory overhead. It distinguishes itself by employing a zero-reflection dispatch mechanism that invokes handler functions through static type assertions, avoiding the

    GoMiddleware-Oriented FrameworksRadix Tree RoutersRouting and Request Handling
    View on GitHub↗88,694
  • agenta-ai/agentaAgenta-AI avatar

    Agenta-AI/agenta

    3,860View on GitHub↗

    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

    TypeScriptPrompt Management SystemsPrompt Management SystemsPrompt Registries
    View on GitHub↗3,860
  • ethereum/go-ethereumethereum avatar

    ethereum/go-ethereum

    51,178View on GitHub↗

    Geth is a comprehensive execution client for the Ethereum network, serving as a foundational node implementation that processes transactions, maintains the distributed ledger state, and participates in peer-to-peer consensus. It provides a robust infrastructure for synchronizing, validating, and serving blockchain data, utilizing a persistent Merkle Patricia Trie database to ensure the cryptographic integrity of historical records. As a sandboxed smart contract runtime, it executes bytecode according to deterministic protocol rules, enabling the deployment and interaction of decentralized appl

    GoSmart Contract Development FrameworksBlockchain NodesFull Node Synchronization
    View on GitHub↗51,178
  • alibaba/higressalibaba avatar

    alibaba/higress

    7,558View on GitHub↗

    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

    GoAI API GatewaysAI Gateway ManagementIngress Controllers
    View on GitHub↗7,558
  • conductor-oss/conductorconductor-oss avatar

    conductor-oss/conductor

    31,962View on GitHub↗

    Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems. The platform distinguishes itself through its specialized support for AI agent orchestration, allowin

    JavaDurable Workflow EnginesDurable Workflow Execution EnginesWorkflow Engines
    View on GitHub↗31,962
  • angular/angularangular avatar

    angular/angular

    100,360View on GitHub↗

    Angular is a platform for building web applications using a component-based architecture. It provides a comprehensive suite of tools for managing encapsulated UI units, including hierarchical dependency injection, a declarative template system, and fine-grained reactivity through signals. The framework supports complex application requirements such as client-side routing, form management, and internationalization. The project includes a command-line interface for scaffolding and build automation, alongside a testing ecosystem for unit and integration verification. It offers multiple rendering

    TypeScriptAttributeForm Foundation PrimitivesSignal Based Inputs
    View on GitHub↗100,360
  • katanemo/planokatanemo avatar

    katanemo/plano

    5,120View on GitHub↗

    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

    RustAgent OrchestrationAgentic Traffic RoutingAI Agent Orchestration
    View on GitHub↗5,120
  • langchain-ai/langgraphlangchain-ai avatar

    langchain-ai/langgraph

    34,925View on GitHub↗

    LangGraph is a framework for building stateful, multi-step agentic workflows by modeling application logic as a directed graph. It provides a runtime environment where complex tasks are orchestrated through interconnected nodes and edges, allowing developers to manage state transitions, persistent memory, and control flow across long-running automated processes. The platform distinguishes itself through its native support for human-in-the-loop automation, enabling developers to define breakpoints that pause execution for manual review, modification, or approval. It also features checkpoint-ba

    PythonAgent Deployment ManagementAgent Orchestration FrameworksFault-Tolerant Workflow Execution
    View on GitHub↗34,925
  • grafana/lokigrafana avatar

    grafana/loki

    27,640View on GitHub↗

    Loki is a horizontally scalable, highly available log aggregation engine designed to store and query massive volumes of unstructured log data. It functions as a distributed observability platform that correlates logs, metrics, and traces to provide comprehensive visibility into the health and performance of complex infrastructure. The system distinguishes itself through a distributed query execution model that processes large datasets in parallel across cluster nodes. It utilizes label-based stream indexing and a distributed index to map log data to specific chunks, enabling rapid retrieval w

    GoDistributed Observability SystemsLog Storage EnginesObservability Platforms
    View on GitHub↗27,640
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