Comet ML
ML experiment tracking + LLM observability
Overview
Comet is an established ML experiment-tracking platform that has expanded into LLM observability via the Opik project. Used by enterprise ML teams to track training runs, hyperparameter sweeps and now LLM-app traces.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
Comet ML in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Comet ML is a well-established MLOps platform for experiment tracking, model registry, production monitoring and, increasingly, LLM evaluation/observability via its open-source Opik project. It is a credible Weights & Biases alternative with strong logging, comparison and reproducibility features, plus self-hosted/on-prem options for regulated teams.
It is aimed squarely at ML/data-science teams, so there is a learning curve and the value really shows at team scale. The free tier and OSS Opik lower the barrier for individuals. Docs and SDKs are good. For ASEAN ML teams it is globally available with self-host options, though no localised support. Solid, if not the flashiest, choice.
About this listing
This entry was compiled from publicly available data including Comet ML's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Comet ML unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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