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classic-ml · Openness profile

AutoGluon (tabular, multimodal and time-series AutoML)

Amazon Web Services and the AutoGluon community · snapshot 2026-11-07

Fast and accurate ML in three lines of code: automated ensembles, tuning and stacking

Tier 5 Fully open / reproducible

What the publisher claims: open source

The one-liner: AutoML with the search space exposed rather than hidden behind a service.

The six questions

A AccessScore 3 of 3

Source and packages are downloadable.

P PermissionScore 3 of 3

Apache 2.0.

D DeploymentScore 3 of 3

Runs locally on commodity hardware and in containers.

T TransparencyScore 3 of 3

Presets, search spaces and stacking logic are public and configurable, and user data stays with the user.

R ReproducibilityScore 3 of 3

The pipeline is inspectable end to end and can be rebuilt from the published code.

G Governance & ParticipationScore 3 of 3

AutoGluon is run in the open by a standing group of non-AWS maintainers who merge outside PRs and work a published issue roadmap across tabular, multimodal, and time-series tracks, so community contributors genuinely steer what ships.

License

Apache 2.0 OSI-approved — license source ↗

What is actually released

Why it matters

The contrast with proprietary AutoML services is that the automation stays auditable and forkable.

Sources

Derived from the openness dataset behind But Is It Open? — snapshot 2026-11-07 ↗. Scores are qualitative readings of the cited evidence, not verdicts; tier measures openness, not intelligence.

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