Comet
7.9#1 in model registry softwareFrom $19 a monthFree planWebAPILinuxmacOS
VisitComet vs Metaflow
What both publish
| Fact | Comet | Metaflow |
|---|---|---|
| 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. | Documented integrations include AWS Batch, AWS Step Functions, Kubernetes, Argo Workflows, and Apache Airflow. |
| Licence | The core MLOps platform is closed source; the separate Opik project is released under Apache-2.0. | Metaflow is open source under the Apache License 2.0. |
| Public API | Comet documents REST endpoints authenticated with an API key for reading and writing workspace, project, and experiment data. | The API reference documents Client, FlowSpec, Runner, Deployer, Current, S3, Cards, ArgoEvent and flow and step decorators. |
| Rating on G2 | 4.3 out of 5 from 26 reviews | 4.5 out of 5 from 3 reviews |
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
Metaflow plans
- Open-source MetaflowFree
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 Metaflow if…
Metaflow is suited to data scientists and ML or AI engineers building workflows that may need scaling. It is less useful for simple notebook experiments without scaling or operational complexity needs.