The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environme
active 2023-08-16 → 2025-12-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 862 days from 2023-08-16 to 2025-12-24. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 30 total, peak 12 in a day. Comments: 20 total, peak 9 in a day. Stars: 40 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| stale[bot] | 47 | 0 | 1 | 17 |
| pull-checklist[bot] | 2 | 0 | 0 | 2 |
| dependabot[bot] | 1 | 0 | 0 | 1 |
| ActurialCapital | 1 | 0 | 0 | 0 |
| guillaume-chevalier | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#533stale[bot]2025-09-25 03:20Bug: Simple pipeline with sklearn StandardScaler / LinearRegression does not work
- Issue comment#532dependabot[bot]2025-05-04 03:47Bump flask from 1.1.4 to 2.3.2
- Pull request#532stale[bot]2025-05-04 03:47
- Issue comment#534pull-checklist[bot]2025-03-24 21:56update sklearn, maintenance
- Issue comment#534pull-checklist[bot]2025-03-24 21:55update sklearn, maintenance
- Pull request#534guillaume-chevalier2025-03-24 21:55
- Issue#531stale[bot]2025-01-15 06:33Feature: Integration with sklearn-evaluation
- Issue comment#532stale[bot]2024-11-05 03:15Bump flask from 1.1.4 to 2.3.2
- Issue#530stale[bot]2024-08-16 23:07Bug: Test files missing from `sdist` on PyPI
- Issue comment#531stale[bot]2024-07-17 02:26Feature: Integration with sklearn-evaluation
- Issue#526stale[bot]2024-07-12 16:26Feature: Additional arguments to fit method in BaseStep
- Issue#375stale[bot]2024-04-21 20:01Feature: Observable hyperparameter repositories (including the OnDisk repo) to refresh UI
- Issue#273stale[bot]2024-04-15 06:19Feature: add to ColumnTransformer the arguments of the FeatureUnion that it inherits.
- Issue#176stale[bot]2024-04-15 06:19Feature: BaseStep.introspect()
- Issue#278stale[bot]2024-04-15 06:19Feature: Add Neuraxle to MLflow
- Issue#301stale[bot]2024-04-15 06:19Feature: Distributed AutoML Loop
- Issue#302stale[bot]2024-04-15 06:19Feature: Hyperband-AutoML
- Issue#330stale[bot]2024-04-15 06:19Feature: Should TruncableStep and MetaStepMixin Inherit from NestedDict via _HasChildren to store their childrens?
- Issue#358stale[bot]2024-04-15 06:19Bug: _TransformerStep and BaseTransformer should respect this: `hasattr(BaseTransformer(), "fit") == False`
- Issue#465stale[bot]2024-04-15 06:19Feature: Linearize log distributions in TPE for proper processing of the hyperparams in the SVD
- Issue#467stale[bot]2024-04-15 06:19Bug: Some discrete distributions may not have a linear dependence between its points (e.g.: Choice v.s. RandInt)
- Issue#473stale[bot]2024-03-30 13:01Feature: Multi-Head AutoML optimization
- Issue#533ActurialCapital2024-03-22 14:07Bug: Simple pipeline with sklearn StandardScaler / LinearRegression does not work
- Issue comment#530stale[bot]2024-02-18 09:32Bug: Test files missing from `sdist` on PyPI
- Issue#522stale[bot]2024-02-13 04:29Bug: StepSaverCallback & BestModelCheckpoint not working in version 0.7.0
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 40 stars here means stars gained during the window, not the repo's star count.