Comet ML

license

Apache-2.0(OSI)

source

public

commercial

Comet-cloud-hosting(not a gated core)

core features withheld

no

Opik's server, web application and evaluation components are Apache-2.0 licensed, and the README says the full platform can be self-hosted with no Enterprise sales conversation required. Comet's self-hosting overview says a self-hosted install includes all Opik features, including tracing and evaluation, but not user management.

• https://github.com/comet-ml/opik recorded 2026-08-13

  Repository README, carrying the same statement - "Apache-2.0 licensed, free to self-host the full platform" - alongside the tracing, LLM-as-a-judge, dataset and integration sections. 21,353 stars.

• https://raw.githubusercontent.com/comet-ml/opik/main/LICENSE recorded 2026-09-29

  Repository LICENSE file, the full Apache License, Version 2.0 text with "Copyright (c) Comet ML, Inc".

• https://raw.githubusercontent.com/comet-ml/opik/main/README.md recorded 2026-09-29

  Repository README stating "Opik is licensed under Apache 2.0." and that the platform is "Apache-2.0 licensed, free to self-host the full platform" with the server, web application and evaluation components self-hostable "without a commercial license".

• https://www.comet.com/docs/opik/self-host/overview recorded 2026-09-29

  Self-hosting overview page saying that when self-hosting "you get access to all Opik features including tracing, evaluation, etc but without user management features".

Adoption is measured by PyPI downloads of the opik package, which ships more than 60 framework integrations for tracing and evaluation. The repository README discloses no trace-volume figure, so the reading is based on the download count alone, corroborated by GitHub stars on the repository.

• https://github.com/comet-ml/opik recorded 2026-08-13

  21,353 stars; README still describes extensive third-party integrations for observability

• https://pypistats.org/packages/opik recorded 2026-08-13

  Downloads last month 3,512,727 for opik (last week 770,341)

Opik covers OpenTelemetry-native tracing across many framework integrations, datasets and experiments with pytest-driven CI, LLM-as-judge metrics for hallucination, moderation, relevance and context precision, a prompt playground, and cost tracking. That matches the feature sets of Langfuse and MLflow, while Arize AX, a closed platform, goes further.

• https://github.com/comet-ml/opik recorded 2026-08-13

  README sections - "Track all LLM calls and traces with detailed context during development and in production", LLM-as-a-judge scoring, "Annotate traces and spans with feedback scores", datasets and "Extensive 3rd-party integrations for easy observability".

• https://pypi.org/project/opik/ recorded 2026-09-29

  PyPI page for opik: "any language with an OpenTelemetry SDK" can send traces to Opik, and evaluations integrate into CI/CD through PyTest.

• https://www.comet.com/docs/opik/ recorded 2026-09-29

  Docs home: "Deploy on your own infrastructure with Docker locally or Kubernetes at scale." and the navigation lists Cost tracking among the logging topics.