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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
What is ClearML?
ClearML is hardening the SDK against the artifacts it loads — pickles included.
Recent releases pair hyperdataset work with a steady security pass over the SDK's own inputs. 2.1.7 added an opt-out that blocks processing of pickled artifacts, via a call argument, a config key or CLEARML_BLOCK_PICKLED_ARTIFACTS, and a path-traversal check when import_offline_session extracts a zip; 2.1.6 added integrity-hash verification for pickled DataFrame artifacts; 2.1.8 added a path-traversal check in dataset merging. Alongside that, hyperdatasets gained tagging, version snapshots, single-call publishing and a DataView get method, and 2.1.11 added in-memory data streaming to the storage manager with a 100 MB cap on registration payloads.
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.
ClearML vs Determined AI: editorial side-by-side
ClearML
5.0AI-ASSISTANTS
ClearML is hardening the SDK against the artifacts it loads — pickles included.
◆ Current state
Recent releases pair hyperdataset work with a steady security pass over the SDK's own inputs. 2.1.7 added an opt-out that blocks processing of pickled artifacts, via a call argument, a config key or CLEARML_BLOCK_PICKLED_ARTIFACTS, and a path-traversal check when import_offline_session extracts a zip; 2.1.6 added integrity-hash verification for pickled DataFrame artifacts; 2.1.8 added a path-traversal check in dataset merging. Alongside that, hyperdatasets gained tagging, version snapshots, single-call publishing and a DataView get method, and 2.1.11 added in-memory data streaming to the storage manager with a 100 MB cap on registration payloads.
◆ Where it's heading
Two things are converging. The hyperdataset API is filling in the lifecycle operations a dataset abstraction needs to be usable — snapshot, tag, publish, retrieve — which is the boring work that decides whether people build on it. Meanwhile the SDK is being treated as something that consumes untrusted input, because in a shared experiment tracker it does: an artifact is a file another user uploaded, and Python's default answer to a pickle is to execute it. Blocking that by configuration rather than by default keeps existing pipelines working while giving security-conscious deployments a switch.
◆ Prediction
Pickle blocking is opt-out today, and the notes give no timeline for flipping the default. The clearer near-term thread is Python 2 removal and the f-string migration, both described as work in progress across several releases.
Determined AI
0.0AI-ASSISTANTS
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.
Gemini
Pushing the same assistant into every surface it can reach: browser, desktop, robots.
Claude
Ships a frontier model roughly monthly, then adds the admin controls weeks later.
Semantic Kernel
Semantic Kernel is in orderly maintenance while Microsoft Agent Framework takes over.
Pictory
Pictory publishes comparison content daily and product news never.
Docling
Docling keeps widening what counts as a document — now video, charts, and agent skills.
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.
- 6h agoClearMLIn-memory streaming in the storage manager, DataView retrieval
- 6h agoClearMLHPO trial pruning and hashlib usedforsecurity fixes
- 1mo agoClearMLHyperdataset version snapshots and a static route validator
- 2mo agoClearMLHyperdataset tagging and publishing, plus Azure default credentials
- 2mo agoClearMLOpt-out blocking for pickled artifacts and zip path traversal
- 2mo agoClearMLPickle integrity hashes and configurable plot upload destinations
- 1y agoDetermined AIEnterprise build of 0.38.1 (CI and dependency commits)
- 1y agoDetermined AIRelease candidate pinning aiohttp-cors for Ray compatibility
- 1y agoDetermined AIRelease candidate with documentation dependency updates
- 1y agoDetermined AIRelease candidates relabelled as draft; goreleaser fix
- 1y agoDetermined AIEnterprise dry-run tag from goreleaser work
- 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 5.0 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 5.0 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.