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Facts
| Fact | Neuraxio/Neuraxle 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 environments. | microsoft/nni An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. |
|---|---|---|
| Stars | 612 | 14,366 |
| Net stars, last 30 days | 0 | +5 |
| Largest star day | +1 on Jul 6, 2026 | +3 on May 16, 2026 |
| Milestone reached in the record | None | None |
| Forks | 62 | 1,850 |
| Language | Python | Python |
| License | APACHE-2.0 | MIT |
| Created | Mar 26, 2019 | Jun 1, 2018 |
| Last push | Feb 20, 2026 | Jul 3, 2024 |
| Archived | No | Yes |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 0 of 4 checks |
| Health facts: Releases | 1 of 3 checks (1 without data) | 0 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 1 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 2 of 3 checks |
| Commits, last 13 weeks | No data | 0 |
| Weeks with commits, last 52 | No data | 0 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, deep-learning, hyperparameter-optimization, hyperparameter-tuning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined