Comet
7.9#1 in model registry softwareFrom $19 a monthFree planWebAPILinuxmacOS
VisitComet vs Weights & Biases
Weights & Biases
8.3#1 in ml experiment tracking softwareFrom $60 a monthFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | Comet | Weights & Biases |
|---|---|---|
| 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 maker presents the platform for AI developers and highlights use cases including model training, fine-tuning, AI application development, and production monitoring. |
| Documentation | Comet publishes versioned documentation covering installation, REST and Python APIs, integrations, troubleshooting, on-premises configuration, CLI commands, and release notes. | W&B documentation includes product guides, API references, quickstarts, cookbooks and support articles; the current support site lists 217 W&B Models articles and 19 W&B Weave articles. |
| Experiment tracking | The platform records and compares machine-learning training runs, metrics, parameters, code, and outputs. | The platform automatically records machine-learning pipeline details and provides contextual visual analysis. |
| Founded | 2017 | LinkedIn lists the company as founded in 2017. |
| Headquarters | New York City, United States | San Francisco, California, United States |
| 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. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Licence | The core MLOps platform is closed source; the separate Opik project is released under Apache-2.0. | The wandb client repository is released under the MIT License, while the hosted W&B service is commercial. |
| Rating on G2 | 4.3 out of 5 from 26 reviews | 4.5 out of 5 from 72 reviews |
| Rating on Gartner Peer Insights | 4.8 out of 5 from 4 reviews | 4.8 out of 5 from 7 reviews |
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
Weights & Biases plans
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced on request
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 Weights & Biases if…
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.