Free and open first
Best Experiment Tracking in 2026
- 22 apps
- Research read 7 Oct 2026
- How the order is worked out
- 1
Paperspace Gradient
Free plan Open source APIExtensionLinux+4Gradient combines browser-based notebook work with model deployment and on-demand compute. Check the limits of the selected free plan and account for paid instance utilization costs.
- 2
ClearML
Free plan APILinuxMac+3ClearML combines AI/ML development tooling with infrastructure and GenAI deployment capabilities, and offers both self-hosted and managed deployment paths.
- 3
Comet
Free plan APILinuxMac+3Comet covers both LLM observability and evaluation through Opik and machine-learning workflows through MLOps.
- 4
MLflow Model Registry
Free plan APILinuxSelf-hosted+1MLflow Model Registry provides versioning, lineage, and lifecycle tools in a free open-source package. Teams that need artifact storage should note that it is not supported.
- 5
MLRun
Free plan APILinuxMac+3Choose MLRun if your team needs an open-source framework for coordinating ML or generative-AI work, with feature management and lifecycle tools.
- 6
ModelDB
Free plan APISelf-hostedWebModelDB combines model versioning, lifecycle metadata, and experiment management with API and web access.
- 7
Polyaxon
Free plan APISelf-hostedWebChoose Polyaxon if you need a Kubernetes control plane that combines experiment tracking, workload orchestration and evaluation, with managed and self-hosted deployment choices.
- 8
TensorBoard
Free plan APILinuxMac+3TensorBoard offers a range of visualizations and profiling tools for TensorFlow experimentation at no cost.
- 9
Trackio
Free plan APILinuxMac+3Trackio supports experiment logging, comparison, varied media, and several storage options in a free Python library.
- 10
OpenML
Free plan APIWebOpenML brings datasets, benchmark tasks, experiment tracking, and citation support together for machine-learning work.
- 11
Weights & Biases
Free plan AndroidAPIiPhone+5Choose Weights & Biases if your work needs experiment tracking alongside tools for evaluating and monitoring AI applications, with registry and deployment options.
- 12
Kubeflow Notebooks
Free plan Self-hostedWebChoose Kubeflow Notebooks if you want free, open-source notebook environments running inside Kubernetes, with configurable resources and organization-level access control.
- 13
MLtraq
Free plan LinuxMLtraq offers flexible experiment tracking and data access across Python and SQL workflows. Pin an exact version and verify updates with tests, as its documentation recommends.
- 14
Determined
Free plan LinuxWebDetermined combines free access with GPU and distributed training support across Linux and web platforms. It fits teams whose training workflows match its Python and multi-target scope.
- 15
Sacred
Free plan LinuxMacWindows - 16
Valohai
Free trial APILinuxSelf-hosted+1Valohai brings core MLOps workflow controls into one platform, with flexible compute and deployment choices. Teams should request a quote to assess its per-user subscription cost.
- 17
Domino Data Lab
Paid APISelf-hostedWebDomino brings model development, deployment, collaboration, and governance into one enterprise platform. Buyers should request pricing and compare plan limits and deployment options with their needs.
- 18
Snowflake Feature Store
Paid APIWebChoose Snowflake Feature Store if your team builds ML features within Snowflake and needs batch or streaming updates, point-in-time joins, or automatic lineage.
5.2 Visit site - 19
Azure Machine Learning
Paid WebChoose Azure Machine Learning if your workflows need forecasting, evaluation, automated learning, or batch and real-time deployment.
5.0 Visit site - 20
MLXP
PaidMLXP covers launching, recording, versioning, and analyzing machine-learning experiments in one Python framework.
- 21
Amazon SageMaker AI
Paid Web4.6 Visit site - 22
Databricks Mosaic AI
Paid Web
#1Places #1, #2, #3, #4, #5 on this list can be bought by the makers of the software on it. See the price