Comet vs ZenML
Comet
comet.comZenML
zenml.ioSide by side
| Figure | Comet | ZenML |
|---|---|---|
| Price from | $19/mo | $999/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 11 | 3 |
| Spec score · ML Experiment Tracking Software | 9.4 (#1) | 7.8 (#11) |
| Spec score · Model registries | 9.5 (#1) | 8.4 (#9) |
| Spec score · Model Registry Software | 9.3 (#1) | 7.8 (#10) |
| Headquarters | New York City, United States | Munich, Germany |
| 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. | The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. |
| 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. | The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA. |
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.
ZenML
ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.