Comet
7.9#1 in model registry softwareFrom $19 a monthFree planWebAPILinuxmacOS
VisitComet vs JFrog ML
What both publish
| Fact | Comet | JFrog ML |
|---|---|---|
| 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. |
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
JFrog ML plans
No prices published.
Pick Comet if…
Opik is aimed at teams building applications or agents that make LLM calls. Comet describes MLOps as suited to teams building and training machine-learning models.
Pick JFrog ML if…
You want what its maker publishes above — check its page for the details.