Comet vs Weights & Biases
Comet
comet.com
Weights & Biases
wandb.aiSide by side
| Figure | Comet | Weights & Biases |
|---|---|---|
| Price from | $19/mo | $60/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 11 | 5 |
| Spec score · ML Experiment Tracking Software | 9.4 (#1) | 8.6 (#5) |
| Spec score · Model registries | 9.5 (#1) | 9.5 (#3) |
| Spec score · Experiment Tracking | 9.4 (#1) | 8.6 (#4) |
| 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 |
| Self-hosting | The full Comet platform can be deployed locally or on-premises, while Opik can be downloaded and self-hosted from GitHub. | Self-hosting requires Docker and Python and can run on Linux, macOS or Windows; customers manage their own storage and backups. |
| Support | The pricing page lists community support for all plans, email support for paid cloud Pro and Enterprise, and dedicated support and SLAs for Enterprise. | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. |
| What it does | Comet provides experiment tracking, dataset and model versioning, evaluation, and production monitoring for machine-learning and generative-AI teams. | Weights & Biases is an AI developer platform for building, training, fine-tuning, evaluating and managing AI models and applications. |
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
Weights & Biases
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- 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.
Weights & Biases
Weights & Biases has no write-up on Specifiction yet; its figures are above.