Comet vs JFrog ML
Comet
comet.comJFrog ML
jfrog.comSide by side
| Figure | Comet | JFrog ML |
|---|---|---|
| Price from | $19/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 11 | 0 |
| Spec score · Model registries | 9.5 (#1) | 7.8 (#16) |
| Spec score · Model Registry Software | 9.3 (#1) | 7.9 (#7) |
| Audience | Comet describes MLOps as designed for teams building and training machine learning models and Opik as suited to applications or agents that make LLM calls. | The product is intended for data scientists, ML engineers, and AI developers bringing AI and ML services into production. |
| Company | Comet says it is headquartered in New York City, has offices in Tel Aviv, and launched in 2017. | JFrog says its Liquid Software journey began in 2008; an official JFrog-hosted company profile lists its founding year as 2008 and headquarters in Netanya, Israel, and Sunnyvale, California. |
| Founded | 2017 | 2008 |
| Headquarters | New York City, United States | Sunnyvale, California, and Netanya, Israel |
| Integrations | Comet advertises integrations with more than 40 AI frameworks, model providers, and gateways, including PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, Hugging Face, LangChain, and OpenAI. | JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations. |
| Model registry | The model registry centralizes model versions and supports tracking and deployment workflows. | JFrog ML uses Artifactory as a model registry for versioning, traceability, and governance, and describes Xray scanning models, containers, and artifacts for vulnerabilities and license compliance issues. |
Plans
Comet
- Free CloudFree
- MLOps FreeFree
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps Pro$19 a month
- Opik Pro Cloud$19 a month
- Pro Cloud$19 a month
- EnterprisePriced on request
- MLOps EnterprisePriced on request
In their own words
Comet
Comet offers two product families on one platform: Opik for observing and evaluating LLM applications and agents, and MLOps for machine-learning workflows. Opik traces execution paths such as context retrieval, model responses and tool calls. Its evaluation tools include test suites, datasets, experiments, LLM-as-a-judge and heuristic metrics. The product lists integrations with more than 40 AI frameworks, model providers and gateways, including LangChain, OpenAI, Google ADK, LangGraph and CrewAI; OpenTelemetry support covers tracking applications in Ruby, Java and other languages. MLOps provides experiment tracking, dataset management, a model registry and production monitoring. Opik's open-source version can be self-hosted, and Enterprise offers flexible deployment options. Free Cloud allows up to 10 team members, 25k spans per month and 60-day data retention. Pro Cloud costs $19 a month and allows up to 50 team members and 100k spans monthly, with the same retention period. MLOps Free is also listed, while MLOps Pro costs $19 per user/month. Enterprise pricing is custom. Comet lists community support for all plans, email support for paid cloud Pro and Enterprise, and dedicated support and SLAs for Enterprise.