Comet
ML experiment tracking platform; maker of the open-source Opik LLM observability tool.
About
Comet is the established ML experiment-tracking platform (metrics, code, models, and collaboration for ML teams). Its LLM offering is Opik — the Apache-2.0 open-source observability/eval platform already covered separately in this catalog (~20k stars).
This entry covers the Comet platform itself (closed SaaS). Teams standardizing on Comet for classical ML get Opik as the natural LLM extension.
What it can do
- ML experiment tracking and comparison
- Model registry
- Collaboration and reports
- Opik for LLM observability (separate entry)
- Integrations across ML frameworks
Setup
- Sign up at comet.com.
pip install comet-mland initialize in your training script.- For LLM tracing, use Opik (see the separate catalog entry).
Prerequisites
Comet account; API key.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier). Established ML platform with a genuinely open LLM product (Opik) in the family, but the Comet platform itself is closed SaaS and most evidence here is vendor-sourced. Kept separate from the Opik entry deliberately. Metrics tier.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 5.0/10
- Openness · license + docs
- 4.5/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · provider-tier estimate — thinner evidence (no public adoption metric)
- · established ML platform; Opik is its LLM product — provider-tier estimate
- · no release date — neutral maintenance score
- · manual review: experiment-tracking heritage; Opik (Apache-2.0) already in catalog separately; license: closed SaaS (Comet ML)
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.