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Comparison · ai-assistants

ClearML vs Determined AI

A side-by-side editorial comparison of ClearML and Determined AI — release velocity, themes, recent moves, and the top alternatives to consider.

ClearML vs Determined AI: at a glance

FeatureClearMLDetermined AI
Sectorai-assistantsai-assistants
Velocity score2.50.0
Sparks · 30d00
Top themesexperiment tracking, hyperdatasets, storage manager, sdk configurationtraining platform, stale feed, release tooling, kubernetes
Last editorial update22h ago3mo ago
WebsiteVisit →Visit →

What is ClearML?

ClearML 2.2 turns operational knobs into config: compression, retries, logging, container-aware CPU.

After a summer of hyperdataset lifecycle work and SDK input hardening, 2.2.0 is an operations release. It adds a configurable zip compression algorithm for dataset chunks and artifacts, environment and vault overrides for API retry settings, switches to disable stdout/stderr capture and resource monitoring, and reports CPU against the container's cgroup limit. Fixes close a shell-escaping injection path in the autoscaler driver and stop the cache from evicting files another worker is still reading.

Read the full ClearML trajectory →

What is Determined AI?

Determined's release feed stops in March 2025, and its last entries are release plumbing.

Every release in the window sits in a three-week stretch of March 2025 around a single version, 0.38.1, published across enterprise, release-candidate and dry-run tags. Their contents are the release process itself: pinning aiohttp-cors because 0.8.0 broke the last Ray version supporting Python 3.8, marking release candidates as draft rather than pre-release, fixing goreleaser field keys, removing a codecov dependency, retiring preview and GKE clusters from CI, and upgrading swagger-ui. The one user-facing item is a documentation warning added to the obsolete managed-service deployment page.

Read the full Determined AI trajectory →

ClearML vs Determined AI: editorial side-by-side

C
ClearML
AI-ASSISTANTS
2.5

ClearML 2.2 turns operational knobs into config: compression, retries, logging, container-aware CPU.

◆ Current state

After a summer of hyperdataset lifecycle work and SDK input hardening, 2.2.0 is an operations release. It adds a configurable zip compression algorithm for dataset chunks and artifacts, environment and vault overrides for API retry settings, switches to disable stdout/stderr capture and resource monitoring, and reports CPU against the container's cgroup limit. Fixes close a shell-escaping injection path in the autoscaler driver and stop the cache from evicting files another worker is still reading.

◆ Where it's heading

The SDK is shifting from adding hyperdataset verbs to making existing pieces behave correctly in containerised, multi-worker production setups. Security fixes continue to land as a steady background stream rather than as headline features, and Python 2 compatibility is being removed.

◆ Prediction

Expect more runtime configuration surfaced through environment variables and vault, plus further cleanup now that Python 2 support is being dropped.

D
Determined AI
AI-ASSISTANTS
0.0

Determined's release feed stops in March 2025, and its last entries are release plumbing.

◆ Current state

Every release in the window sits in a three-week stretch of March 2025 around a single version, 0.38.1, published across enterprise, release-candidate and dry-run tags. Their contents are the release process itself: pinning aiohttp-cors because 0.8.0 broke the last Ray version supporting Python 3.8, marking release candidates as draft rather than pre-release, fixing goreleaser field keys, removing a codecov dependency, retiring preview and GKE clusters from CI, and upgrading swagger-ui. The one user-facing item is a documentation warning added to the obsolete managed-service deployment page.

◆ Where it's heading

There is no product signal here to read a direction from — these are the artefacts of a release pipeline being tidied, published as releases because the tooling tags every candidate. What the window does show is a deprecation: the MLDE managed service documentation was marked obsolete in the same batch, which is the only statement about the product's shape in the entire set.

◆ Prediction

The feed has been silent for roughly seventeen months, so there is no observable cadence to project from. Treat the absence of releases, rather than their contents, as the finding.

Alternatives to ClearML and Determined AI

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ClearML or Determined AI.

See all ClearML alternatives → · See all Determined AI alternatives →

Recent activity from ClearML and Determined AI

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoClearMLZip compression choice, container-aware CPU, API retry overrides
  2. 2mo agoClearMLHyperdataset entry deletion, metadata management and mapping rules
  3. 3mo agoClearMLIn-memory streaming in the storage manager, DataView retrieval
  4. 3mo agoClearMLHPO trial pruning and hashlib usedforsecurity fixes
  5. 4mo agoClearMLHyperdataset version snapshots and a static route validator
  6. 5mo agoClearMLHyperdataset tagging and publishing, plus Azure default credentials
  7. 1y agoDetermined AIEnterprise build of 0.38.1 (CI and dependency commits)
  8. 1y agoDetermined AIRelease candidate pinning aiohttp-cors for Ray compatibility
  9. 1y agoDetermined AIRelease candidate with documentation dependency updates
  10. 1y agoDetermined AIRelease candidates relabelled as draft; goreleaser fix
  11. 1y agoDetermined AIEnterprise dry-run tag from goreleaser work
  12. 1y agoDetermined AIDry-run tag from goreleaser configuration work

Frequently asked questions

What is the difference between ClearML and Determined AI?

They serve adjacent needs but don't currently overlap on shipped themes. ClearML is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ClearML better than Determined AI?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ClearML is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to ClearML?

Top ClearML alternatives in ai-assistants are ranked by recent ship velocity. Browse the "ClearML alternatives" section above for the current picks, or visit /alternatives/clearml for the full list with editorial commentary on each.

What are the best alternatives to Determined AI?

Top Determined AI alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Determined AI alternatives" section above for the current picks, or visit /alternatives/determined for the full list with editorial commentary on each.