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ClearML (hosted free tier)
clear.mlMlops artifactsstorage/clearmlJSONcomparereport an errorprovider JSON
- Free allowance
- Zero free bytes by design.
- Verdict
- fails: quotathe free allowance is too small to matter
- Cost
- free tier
- Identity
- emailno card, no phone
- Binding limit
- noneno named constraint binds
- Evidence
- reported1 source; a third party said so
- Freshness
- stale on 2026-11-05checked 2026-10-21 (inherited); stale on 2026-11-05
| Free tier | Zero free bytes by design. ClearML's free tier is 'Flexible Storage — Store your datasets on any storage service and connect to ClearML – HTTP/S3/GCS/Azure/NAS'. That is bring-your-own-bucket: ClearML supplies the versioning layer, you supply (and pay for) the bytes. Differential storage reduces what you must store, but it does not create storage. unit mixed; metered on stored-bytes |
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| Price | none stated |
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| Identity | email email. |
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| Egress | Yours, because the bytes are on your storage. ClearML itself charges nothing for egress since it never holds the data. |
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| Per-object cap | not stated |
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| Retention | not stated |
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| Interface | s3, rest rest |
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| Tooling | clearml Python SDK + clearml-agent; Dataset.create() / dataset.add_files() / dataset.upload() against any S3/GCS/Azure/HTTP/NAS backend. Mature and well documented. |
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| Composes with | There is nothing to multiply — the storage is a user's own account at AWS/GCS/Azure, all of which are excluded on cost grounds. |
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| Reliability | Reliable; the server is open source and self-hostable. But as a free-storage route it is a null result: it is a control plane, not a data plane. |
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| Parsed numbers | |
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Evidence 1
| date | source | what it proved |
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| 2026-10-21 | clear.ml/pricing | read live: 'Flexible Storage — Store your datasets on any storage service and connect to ClearML – HTTP/S3/GCS/Azure/NAS'; 'Differential Storage — Versions only store the change set from parent versions' |
More fields 1
| dead end | {"failure_class": "quota","why": "Zero free bytes by design. ClearML's free tier is 'Flexible Storage — Store your datasets on any storage service and connect to ClearML – HTTP/S3/GCS/Azure/NAS'. That is bring-your-own-bucket: ClearML supplies the versioning layer, you supply (and pay for) the bytes. Differential storage reduces what you must store, but it does not create storage.","retry_when": null,"first_recorded": "2026-10-21"} |
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Unknown values 4
- per object cap notes: the field may be stated in a source that was not read
- per object cap stated: the field may be stated in a source that was not read
- retention notes: the field may be stated in a source that was not read
- retention stated: the field may be stated in a source that was not read