Comet

MLOps platform with experiment tracking and a model registry for versioning deployments.

Pricing: free
Free tier: true
License: open-source
Open source: No

Editorial review

Comet has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native): LLM observability, LLM evaluation, MLOps, model registry, prompt management, open sourceVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): SaaS, self-hostedVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerified
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): freeVerified
Source repository(HTTPS URL): https://github.com/comet-ml/opikVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): AI agent tracing with total LLM observability, LLM evaluation with 40+ LLM-as-a-judge metrics and test suites, Diagnostics that group recurring trace issues and recommend fixes, Production monitoring with dashboards and alerts, Experiment tracking with custom visualizations, model versioning and dataset management, Prompt management and annotation workflowsVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Support · Docs · Services

Support channels(email;ticket;chat;phone;community): Slack Community, Documentation, GitHubVerified

Audience · Use · Case

Best for(Neutral editorial summary): AI engineering teams tracing, evaluating and monitoring LLM agents on an Apache-2.0 platform that self-hosts or runs in Comet cloud.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): LLM observability and debugging for GenAI apps and agents, Model registry and ML experiment tracking, Coding agent cost tracking (Claude Code and Codex usage), Agent production monitoring and governanceVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.