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Showing 1–24 of 93
- 0.875score
Langfuse
Langfuse (ClickHouse)
Open-source platform for tracing, evaluating and improving AI agents
Observability toolAFreshness: A★ 36.4Ktracing - 0.868score
MLflow Tracing
MLflow (Linux Foundation)
Open-source platform for tracing, evaluating and managing prompts for agents, LLMs and ML models
Observability toolAFreshness: A★ 28.5Ktracing - 0.862score
Promptfoo
Promptfoo (OpenAI)
Open-source CLI and library for evaluating and red-teaming LLM apps and agents
Observability toolAFreshness: A★ 26.4Kevals - 0.859score
Opik
Comet
Open-source LLM observability and evaluation platform with agent tracing and test suites
Observability toolAFreshness: A★ 22.9Ktracing - 0.847score
DeepEval
Confident AI
Open-source LLM evaluation framework, similar to Pytest, for unit testing LLM apps and agents
Observability toolAFreshness: A★ 19.1Kevals - 0.822score
Arize Phoenix
Arize AI
Open-source tool to trace, evaluate and improve AI agents, run locally or self-hosted
Observability toolAFreshness: A★ 12Ktracing - 0.814score
OpenLLMetry
Traceloop (ServiceNow)
Open-source observability for LLM applications, built on OpenTelemetry
Observability toolAFreshness: A★ 7.5Ktracing - 0.806score
Helicone
Helicone
AI gateway and LLM observability platform for logging, debugging and routing LLM requests
Observability toolAFreshness: A★ 6.2Ktracing - 0.793score
LangWatch
LangWatch
Open-source platform to trace, test, evaluate and govern every LLM call and AI agent in production
Observability toolAFreshness: A★ 5Kevals - 0.785score
Latitude
Latitude
Open-source, MIT-licensed platform for observing production AI agents and turning failures into tracked signals
Observability toolAFreshness: A★ 4.7Ktracing - 0.778score
Pydantic Logfire
Pydantic
Observability platform for AI apps covering model calls, agent steps, API requests and database queries in one trace
Observability toolAFreshness: A★ 4.5Ktracing - 0.771score
Judgment Labs
Judgment Labs
Continuous-improvement stack for agents: monitor behavior, detect failures and validate fixes
Observability toolAFreshness: A★ 1.1K↓ 77.7K/wktracing - 0.769score
Guardrails AI
Guardrails AI (Harvey)
Python framework with input and output guards that detect LLM risks, plus structured output generation
Observability toolBFreshness: B★ 7.6Kguardrails - 0.759score
TruLens
Snowflake
Open-source, OpenTelemetry-native evals and tracing for AI agents
Observability toolAFreshness: A★ 3.6Kevals - 0.758score
Laminar
Laminar
Open-source observability platform for AI agents that detects failures and supports evals
Observability toolAFreshness: A★ 3.4Ktracing - 0.756score
Llama Guard
Meta
Meta's open safeguard models that moderate LLM prompts and responses, including Llama Guard 4.
Observability toolAFreshness: A★ 4.4Kguardrails - 0.749score
Snyk Agent Scan
Snyk (Invariant Labs)
CLI that discovers agent components on a machine and scans MCP servers and skills for prompt injections.
Observability toolAFreshness: A★ 3.2Ksecurity testing - 0.745score
OpenLIT
OpenLIT
Open-source agent harness engineering platform with OpenTelemetry tracing, evals and guardrails
Observability toolAFreshness: A★ 2.9Ktracing - 0.745score
Inspect AI
UK AI Security Institute
Open-source framework for large language model evaluations, built by the UK AI Security Institute
Observability toolAFreshness: A★ 3.1Kevals - 0.716score
W&B Weave
Weights & Biases (CoreWeave)
Toolkit for tracing and evaluating AI agents and LLM apps, built by Weights & Biases
Observability toolAFreshness: A★ 1.1Ktracing - 0.708score
NeMo Guardrails
NVIDIA
Open-source Python library for adding programmable guardrails to LLM-based conversational applications
Observability toolAFreshness: A★ 7.4Kguardrails - 0.697score
AgentOps
AgentOps
Observability and dev-tool platform for building, evaluating and monitoring AI agents
Observability toolCFreshness: C★ 5.9Ktracing - 0.687score
Future AGI
Future AGI
Open-source observability for AI apps: traces LLM calls, prompts, retrieval and agent steps via OpenTelemetry
Observability toolAFreshness: A★ 249tracing - 0.657score
Ragas
Ragas
Toolkit for evaluating LLM applications with objective metrics, test data generation and feedback loops
Observability toolDFreshness: D★ 16.1Kevals