ML teams needing experiment tracking, data management, pipelines and orchestration in one platform.

An open source MLOps platform combining experiment tracking, data versioning, pipeline orchestration and model serving.

Self-hostable server plus Python SDK, or usable via ClearML's hosted SaaS offering.

Founded as Allegro AI in 2019 and continuously developed with an active 2026 release cadence.

Unifies experiment tracking, orchestration and deployment that otherwise require stitching together multiple separate tools.

Requires the Python clearml SDK plus a ClearML server, self-hosted via Docker or the hosted SaaS.

Open source core under Apache-2.0, self-hosted or commercial hosted tiers, account needed for hosted SaaS, over 6.8k GitHub stars.