ClearML
ClearMLEnd-to-end machine-learning platform covering experiment management, data management, pipelines and remote execution. Tasks are enqueued and a ClearML Agent running on a worker machine pulls them, reproduces the original environment in a container and runs the code. The Python SDK is Apache-2.0; the server the platform runs on is licensed under the Server Side Public License.
The product spans three repositories - clearml the SDK, clearml-server and clearml-agent - and the openness score follows the most restrictive license among them. Verified 2026-09-15 via the repository, the clearml-server LICENSE body and the PyPI download API.
Openness
2 high confidence- license
- Apache-2.0(the clearml SDK repository)+SSPL-1.0(clearml/clearml-server, the server the platform runs on, under a ClearML Inc copyright)
- source
- public(the SDK, the agent and the server are all published)
The source is fully public and the licenses are what hold the score down. The SDK is Apache-2.0, but the server the platform actually runs on carries the Server Side Public License, which the shared ladder places in competition_restricted - readable source under terms that forbid a class of use. Most-restrictive-wins applies across the license compound, and it is admissible here rather than an abstention because both names map to a declared tier. Full source plus a competition-restricted license scores 2, beside partial source, because the practical outcome matches: you can read it and not run it freely. The record carries no core-gated component: the ladder settles this product on competition_restricted plus public source before that dimension is read, so recording it would assert something the score does not rest on and no cited source establishes.
- https://github.com/clearml/clearml recorded 2026-09-15
Repository page for clearml/clearml: Apache-2.0 license, public and unarchived. Establishes the SDK's license and that the source is public.
- https://raw.githubusercontent.com/clearml/clearml-server/master/LICENSE recorded 2026-09-15
The clearml-server LICENSE body: 'Server Side Public License, VERSION 1, OCTOBER 16, 2018, Copyright (c) 2025 ClearML Inc.' Establishes the license of the component you actually run.
Adoption
3 high confidenceThe PyPI download API reports 625,991 downloads of clearml in the trailing 30 days, inside the 100K-1M band for level 3. The declared artifact is the SDK, which is the channel users install.
- https://pypistats.org/api/packages/clearml/recent recorded 2026-09-15
Trailing-window download counts for the declared PyPI artifact: 625,991 downloads in the trailing month.
Capability
3 medium confidenceClearML decides which queue a task joins and, with dynamic GPU allocation, how many GPUs on an agent that queue commands. The agent then pulls the work, so the choice of which machine runs a given task is made by whichever agent polls rather than by a central placement decision - the same reasoning that kept hatchet out of deployment, applied consistently. Band 3 rather than higher for that reason, and the enterprise-only GPU features are counted rather than discounted.
- https://clear.ml/docs/latest/docs/clearml_agent/ recorded 2026-09-15
ClearML Agent documentation describing the execution flow: 'Enqueue a task for execution on the queue. The agent pulls the task from the queue. The agent launches a container in which to run the task's code.'
- https://clear.ml/docs/latest/docs/clearml_agent/clearml_agent_dynamic_gpus/ recorded 2026-09-15
ClearML's dynamic GPU allocation documentation, marked an Enterprise feature, describing allocation of GPUs to queues with clearml-agent daemon --dynamic-gpus --gpus 0-2 --queue dual_gpus=2.
Verified 2026-09-15