ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs Polyaxon
What both publish
| Fact | ClearML | Polyaxon |
|---|---|---|
| Experiment tracking | The pricing page lists experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration across Open Source, Free/Pro, and Scale/Enterprise tiers. | It captures run parameters, metrics, logs, code versions, artifacts, lineage, and runtime state. |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | The site lists integrations including PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack, and Datadog. |
| Open source | ClearML says its self-hosted version is 100% open source on GitHub. | Polyaxon says its core is Apache 2.0 licensed and can be inspected, extended, and self-hosted. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | For self-hosting issues, the setup guide directs users to troubleshooting, GitHub Discussions, or GitHub bug reports and feature requests. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
Polyaxon plans
- Polyaxon Community EditionFree
Pick ClearML if…
ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.
Pick Polyaxon if…
Polyaxon fits teams running machine-learning or agent workloads on Kubernetes that need experiment tracking and orchestration. Its self-hosted options may suit organizations seeking offline or air-gapped deployment.