compare
Metaflow vs MLServer
The same facts for both, read from GitHub every night, and the relation a person reviewed.
| Fact | Metaflow | MLServer |
|---|---|---|
| Language | Python | Python |
| Licence | Apache-2.0 | Apache-2.0 |
| Stars | 10k | 900 |
| Latest | 2.19.39 | 1.7.1 |
| Last push | 2026-10-06 | 2026-10-05 |
| Release cadence | about 11 days between releases | about 95 days between releases |
| Active contributors | 12 commit authors on the default branch in the last 90 days | 0 commit authors on the default branch in the last 90 days |
| Flags | none | none |
How they relate
Both replace Amazon SageMaker. Alternatives to Amazon SageMaker →
PartialMetaflowPython flows that scale from a laptop to Kubernetes or AWS Batch, with versioned artefacts.
PartialMLServerA Python inference server speaking the V2 inference protocol.
Metaflow
- 2.19.392026-09-02fix: argo conditional issue
- 2.19.382026-08-18build(deps-dev): bump js-yaml from 4.3.0 to 4.3.1 in /metaflow/plugins/cards/ui by @dependabot[bot] in
- 2.19.372026-08-11Fix duplicate test name masking parse_kube_keyvalue_list success cases
- 2.19.362026-08-05build(deps-dev): bump brace-expansion from 1.1.12 to 1.1.16 in /metaflow/plugins/cards/ui by @dependabot[bot] in
- 2.19.352026-06-24feat(tracing): respect otel service name via env variable
MLServer
- 1.7.12025-06-06Set a lower bound for mlflow in mlserver-mlflow
- 1.7.02025-04-11MLServer has now support for Python 3.11 and 3.12 by @shivakrishnaah in (#1951)
- 1.6.12024-09-10MLServer now offers an option to use pre-existing Python environments by specifying a path to the environment to be use…
- 1.6.02024-06-26MLServer supports Pydantic V2.
- 1.5.02024-03-05Update CHANGELOG
Metaflow
✓ signed The latest release, 2.19.39, carries a signature GitHub verified.
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MLServer
unsigned The latest release, 1.7.1, carries no signature GitHub could verify.
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