OpenLIT
7.7#9 in ai agent observability toolsFree planFree planWebAPILinuxmacOS
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| Fact | OpenLIT | W&B Weave |
|---|---|---|
| Documentation depth | The documentation includes provider-specific SDK guides, observability pages, controller deployment material, CLI configuration and an indexed documentation file. | The support center lists a dedicated Weave section with 16 articles and eight tags. |
| Evaluations | OpenLIT includes built-in evaluations, programmatic evaluations and LLM-as-a-judge workflows that can run locally or in CI. | An imperative evaluation API compares application or model changes with visualizations intended to expose regressions. |
| Guardrails | The SDK includes guards for prompt injection, jailbreak and sensitive-topic detection using LLM and regular-expression checks. | Prebuilt safety scorers cover toxicity, bias, PII and hallucinations, while quality scorers cover coherence, fluency and context relevance. |
| Integrations | The home page advertises more than 56 integrations spanning LLMs, agent frameworks, vector databases and GPUs. | The deployment guide lists integrations for OpenAI, Anthropic, Cohere, Mistral, LangChain, LlamaIndex, DSPy, Google Gemini, Amazon Bedrock, Together and Groq. |
| Licence | The project is licensed under Apache License 2.0. | The public Weave repository is released under the Apache-2.0 license. |
| Rating on G2 | 5.0 out of 5 from 1 review. | 4.5 out of 5 from 83 reviews |
OpenLIT may suit developers who need LLM tracing, evaluations, prompt workflows and cost visibility. It is especially relevant to those who want to self-host and keep prompts and traces in their environment.
Weave suits teams developing and monitoring production AI agents that need tracing, evaluations, and model or prompt comparisons. It also fits teams that use Python or TypeScript libraries or send OpenTelemetry traces.