ClearML
ClearML: A broad MLOps platform with experiment tracking, data versioning, orchestration, and serving. Ranked #2 of 38 in ML Experiment Tracking Software by our editors (8.8/10); pricing: Free plan; best for teams wanting broad, affordable experiment management.
At a glance
- Editor score8.8 / 10
- PricingFree plan
- Best forTeams wanting broad, affordable experiment management
- Free planYes
- Paid from$15/user/mo
- Facts checked21 Sep 2026
Where it wins
- Community includes tracking, datasets, models, pipelines, and orchestration
- Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments
- Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra
Where it doesn't
- Scale and Enterprise use quote-based pricing
- Pro adds usage-based storage and activity costs
- Its broad MLOps scope may exceed the needs of tracking-only teams
Our verdict on ClearML
ClearML is an open-source AI infrastructure and MLOps platform for data scientists, ML engineers, DevOps teams, and enterprises. Its scope extends from experiment tracking to dataset versioning, model management, pipeline orchestration, job scheduling, compute-resource management, remote development, and model serving. Teams can access it through hosted SaaS, self-hosted software, or enterprise deployments across VPC, on-premises, air-gapped, and hybrid environments.
The pricing structure gives smaller teams a low-cost entry point. The Community plan is $0 and includes dataset versioning, experiment management, a model repository, pipelines, agent orchestration, and CI/CD automation. Pro costs $15 per user per month, plus usage, and adds cloud auto scaling for AWS, GCP, and Azure, hyperparameter optimization, pipeline triggers and automations, dashboards, and pay-as-you-go storage and activity. Scale adds Hyper-Datasets, fine-tuning, an IDE Launcher, Kubernetes integration, SSO integration, and private Slack channel support. Enterprise adds Custom Apps, a Configuration Vault, Slurm/PBS and LDAP integrations, role-based access control, and professional services.
ClearML fits teams that want experiment tracking connected to the rest of the ML lifecycle rather than a standalone tracking dashboard. The tracking layer covers metrics, plots, logs, artifacts, and comparisons, while the model repository provides searchable metadata and lineage. Dataset management spans file systems and object storage, and pipelines support repeatable workflow execution. Framework and tool integrations include PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, CatBoost, Hugging Face Transformers, Optuna, Hydra, TensorBoard, and LangChain. Choose ClearML for broad platform coverage and deployment flexibility; choose a narrower tool if you only need experiment comparisons and do not want orchestration, compute management, or serving features.
Your product? Our editors can test ClearML in depth and publish a review, labelled as paid · from $149/mo →
ClearML pricing
All 4 ClearML plans and prices →
ClearML fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $15/user/mo |
| Run comparison | Not verified |
| Artifact tracking | Not verified |
| Dataset versioning | Not verified |
| Model registry | Yes |
| Deployment options | Not verified |
| API and SDK access | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR, SSO/SAML |
| Support | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 12 integrations: PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM … See all → |
| Pricing | Free plan (source) |
| Website | clear.ml |
| Facts checked | 21 Sep 2026 |
ClearML integrations
ClearML lists 12 integrations on its own site.
- PyTorch
- TensorFlow
- Keras
- scikit-learn
- XGBoost
- LightGBM
- CatBoost
- Hugging Face Transformers
- Optuna
- Hydra
- TensorBoard
- LangChain
See all ClearML integrations →
Alternatives to ClearML
- Weights & BiasesA broad ML platform that extends experiment tracking into production workflows.8.9
- CometA polished experiment tracking platform with strong comparison, lineage, and registry tools.8.7
- Amazon SageMaker ExperimentsA strong fit for AWS-native teams that need tracking, comparison, artifacts, and MLflow.8.6
See all ClearML alternatives →
ClearML vs the competition
- ClearML vs Weights & Biases
- ClearML vs Comet
- ClearML vs Amazon SageMaker Experiments
- ClearML vs Databricks Mosaic AI
- ClearML vs Valohai
- ClearML vs Hopsworks AI Lakehouse
Compare ClearML with any tool side by side →
Also Ranked In
ClearML is ranked in 6 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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