Devtoolwatch BoardGet it every Monday

Best LLM evals and observability tools, ranked by real usage

20 LLM evals and observability tools ranked by new GitHub stars and npm and PyPI download growth, the week of Oct 25–31, 2026. Updated every Monday.

Evals and observability ranked by momentum, the week of Oct 25–31, 2026
RankToolStarsDownloads/wkvs 4-wk avg
#1SkillSpectorSkillSpector is NVIDIA's security scanner that checks AI agent skills for vulnerabilities, malicious patterns, and supply-chain risks…23.7k––
#2JudgevalJudgeval is an open-source Python SDK for tracing and evaluating LLM-powered agents with prompt-based judges and online monitoring.1.1k80.2k+81%
#3A.I.G (AI-Infra-Guard)A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak…7.2k––
#4LangfuseLangfuse is an open source LLM engineering platform for tracing, evaluating, prompt management, and debugging LLM applications and agents.36.8k9.8M+9%
#5OpikOpik is an open-source platform from Comet for tracing, evaluating, and monitoring LLM applications, RAG systems, and AI agents.23.1k709.1k+33%
#6promptfoopromptfoo is a CLI and library for evaluating and red-teaming LLM-based apps, including prompts, agents, and RAG pipelines.26.7k1.2M+16%
#7garakgarak is a command-line LLM vulnerability scanner from NVIDIA that probes models for jailbreaks, prompt injection, data leakage,…9.8k12.9k+16%
#8MLflowMLflow is an open source AI engineering platform for tracing, evaluating, monitoring, and managing agents, LLM applications, and ML models.28.6k5.2M+11%
#9DeepEvalDeepEval is an open-source Python framework for unit testing and evaluating LLM apps, agents, chatbots, voice agents, and RAG pipelines.19.2k769.5k+4%
#10Arize PhoenixArize Phoenix is an open-source, self-hosted AI observability platform for tracing, evaluating, and troubleshooting LLM applications and…12.1k158.1k+2%
#11LogfireLogfire is an observability platform from the Pydantic team for LLM apps, agents, and Python services, built on OpenTelemetry.4.5k4.6M+16%
#12OpenLITOpenLIT is an open-source, self-hosted platform for tracing, evaluating, guarding, and improving AI agents and coding agents on…2.9k88.1k+11%
#13LangSmith SDKLangSmith SDK is the Python and JavaScript client library for tracing, debugging, evaluating, and monitoring LLM applications on the…1.1k32.1M+11%
#14GuardrailsAdding guardrails to large language models.7.6k33.3k+32%
#15BraintrustBraintrust is a platform for evaluating and shipping AI products, with JavaScript/TypeScript SDKs for logging, tracing, evals, and a CLI.294.2M+10%
#16Inspect AIInspect AI is an open-source Python framework from the UK AI Security Institute for writing and running large language model evaluations.3.1k727.6k−13%
#17EvidentlyEvidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline.…8k196.7k+5%
#18NeMo GuardrailsNeMo Guardrails is an open-source Python toolkit for adding programmable guardrails to LLM-based conversational applications.7.4k109.3k−18%
#19RagasRagas is a Python evaluation framework for RAG and LLM applications, with LLM-based and traditional metrics plus test data generation.16.2k273k−13%
#20LaminarLaminar - open-source observability platform purpose-built for AI agents. YC S24.3.5k892.3k−37%

FAQ

What is the fastest-growing of the LLM evals and observability tools right now?

SkillSpector ranked #1 among LLM evals and observability tools on the Devtoolwatch Board in the week of Oct 25–31, 2026, with a momentum score of 94 out of 100.

Which of the LLM evals and observability tools has the most GitHub stars?

Of the LLM evals and observability tools ranked in the week of Oct 25–31, 2026, Langfuse has the most GitHub stars: 36.8k.

Which of the LLM evals and observability tools is downloaded the most?

LangSmith SDK's main package had the most downloads of the ranked LLM evals and observability tools: 32.1M in the week of Oct 25–31, 2026.

How does Devtoolwatch rank LLM evals and observability tools?

Every Monday the Board averages four percentile ranks: new GitHub stars from daily snapshots, new stars for the repo's size, added npm and PyPI downloads, and download growth beyond the market. Star spikes without forks, downloads or Hacker News to back them are held back.

Rankings come from Devtoolwatch's daily GitHub snapshots and the npm and PyPI download APIs. How the ranking works.