
LangWatch
8.2#4 in ai agent observability toolsFrom €29 a monthFree planWebAPILinuxmacOS
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| Fact | LangWatch | W&B Weave |
|---|---|---|
| Company | The site's footer identifies the maker as LangWatch B.V. and says it is built in Amsterdam. | Weights & Biases says it was founded in 2017 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis and was acquired by CoreWeave in May 2025. |
| Evaluations | The platform supports offline and online evaluations, CI/CD gates, multimodal scoring, built-in evaluators and custom workflows. | An imperative evaluation API compares application or model changes with visualizations intended to expose regressions. |
| Headquarters | Amsterdam | San Francisco, California, United States |
| Integrations | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. | The deployment guide lists integrations for OpenAI, Anthropic, Cohere, Mistral, LangChain, LlamaIndex, DSPy, Google Gemini, Amazon Bedrock, Together and Groq. |
| Licence | The core platform is Apache 2.0; enterprise modules require a commercial production licence and the SDKs are MIT licensed. | The public Weave repository is released under the Apache-2.0 license. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 4.5 out of 5 from 83 reviews |
| SDKs and API | LangWatch publishes Python and TypeScript SDKs, OpenTelemetry ingestion and a direct REST API for sending spans. | Weave provides Python and TypeScript libraries and supports sending OpenTelemetry traces to its OTLP endpoint. |
| Security | The trust center states AES-256 encryption at rest, TLS 1.2+ in transit, AWS KMS, RBAC, MFA, SSO, encrypted backups and GDPR controls. | W&B describes AWS, Azure and Google Cloud hosting and says Trust Center certifications and security artifacts are available to approved customers. |
LangWatch suits AI teams shipping agents, including developers, product owners, QA, and domain experts working on evaluation workflows. Teams can choose managed cloud, self-hosted, or hybrid deployment.
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.