Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
8
Popularity
88
Adoption
29
Community
80
How the maintenance status was determined
Last commit
924 days ago
Monthly downloads
922
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
922
Stars
14,352
Stars per 1k downloads
15566.16
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
28
Month daily avg
31
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.5
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
2180 days ago
Total releases
58
Releases/year
9.5
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
922
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
1256d
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
No OS data available
Python Versions
No Python version data available
Top Countries
1.
CA
1
CA
Dependencies
13
- astor
- colorama
- coverage
- hyperopt ==0.1.2
- json-tricks
- numpy
- psutil
- pythonwebhdfs
- requests
- ruamel-yaml
- schema
- scikit-learn <0.22,>=0.20
- scipy
Used By
0
Not used by any tracked packages
Package Information
License
MIT
First Release
March 22, 2020
Last Release
5 years ago
Last Commit
2 years ago
Latest Version
1.5.2005180104
Total Releases
58
Contributors
10,000
Open PRs
18
Archived
Yes
Author
Microsoft NNI team
Python Versions
3
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 21, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh