PyPI Stats
Microsoft

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (Microsoft/nni) with 5 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
1.0K
Week
7.6K
Month
34.4K
Stars
14.4K
Forks
1.9K
Issues
397
Version
3.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
8
Popularity
88
Adoption
55
Community
80
How the maintenance status was determined
Last commit
923 days ago
Monthly downloads
34,415
Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
• Archived
Repository flagged as archived on GitHub
Repository is archived on GitHub — no further commits expected.
How the popularity category was determined
Monthly downloads
34,415
Stars
14,351
Stars per 1k downloads
417.00
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
1,086
Month daily avg
1,147
Momentum
-5.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.7
Cutting Edge
Minimum supported version is 3.12 or newer
Modern
Minimum supported version is 3.9, 3.10, or 3.11
• Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
964 days ago
Total releases
37
Releases/year
5.4
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
• Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
10,000
Monthly downloads
34,415
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
87
 
Issue Burden
27.7
per 1k stars
Discussions
11.2
per 1k stars
Fork Ratio
538.5%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 629
Windows 18

Python Versions

3.12
43.9% 279
3.10
21.5% 137
3.9
21.2% 135
3.11
12.3% 78
3.8
1.1% 7

Top Countries

1. US US
470
2. SG SG
99
3. CN CN
25
4. NL NL
17
5. CA CA
9
6. IN IN
7
7. TW TW
6
8. AU AU
4
9. SA SA
3
10. BR BR
2

Dependencies

22
14 optional dependencies

Used By

6

Package Information

License
MIT
First Release
July 4, 2019
Last Release
2 years ago
Last Commit
2 years ago
Latest Version
3.0
Total Releases
37
Contributors
10,000
Open PRs
18
Archived
Yes
Author
Microsoft NNI Team
Wheels
py3
Topics
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science tensorflow pytorch neural-network deep-neural-network model-compression feature-engineering nas python hyperparameter-tuning mlops
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links