Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
40
Popularity
69
Adoption
35
Community
45
How the maintenance status was determined
Last commit
2964 days ago
Monthly downloads
3,508
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
How the popularity category was determined
Monthly downloads
3,508
Stars
1,654
Stars per 1k downloads
471.49
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
163
Month daily avg
117
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
Not specified
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
Package does not declare a minimum Python version.
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
2995 days ago
Total releases
78
Releases/year
8.0
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
12
Monthly downloads
3,508
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
56
Issue Burden
108.8
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
3.9%
contrib / forks
Stale Release
No
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
2
Windows
1
Python Versions
3.11
66.7%
2
3.14
33.3%
1
Top Countries
1.
US
21
US
2.
CA
1
CA
3.
FR
1
FR
4.
GB
1
GB
5.
RO
1
RO
Dependencies
11
- dill <0.3,>=0.2.5
- h5py <3.0,>=2.7.0
- lightgbm <2.1,>=2.0.11
- numpy <2.0,>=1.11.0
- pandas <1.0,>=0.18.0
- pathos <0.3.0,>=0.2.1
- python-dateutil <3.0,>=2.6.1
- scikit-learn <1.0,>=0.18.1
- scipy <2.0,>=0.14.0
- sklearn-deap2 <0.3,>=0.2.1
- tabulate <1.0,>=0.7.5
Used By
3
Package Information
License
MIT
First Release
August 26, 2016
Last Release
8 years ago
Last Commit
8 years ago
Latest Version
2.9.10
Total Releases
78
Contributors
12
Open PRs
7
Archived
No
Author
Preston Parry
Python Versions
2
2.7
3
3.4
3.6
Wheels
py2
py3
Keywords
machine learning
data science
automated machine learning
regressor
regressors
regression
classification
classifiers
classifier
estimators
predictors
XGBoost
Random Forest
sklearn
scikit-learn
analytics
analysts
coefficients
feature importancesanalytics
artificial intelligence
subpredictors
ensembling
stacking
blending
feature engineering
feature extraction
feature selection
production
pandas
dataframes
machinejs
deep learning
Topics
machine-learning
data-science
automated-machine-learning
gradient-boosting
scikit-learn
python
machine-learning-pipelines
machine-learning-library
production-ready
automl
lightgbm
analytics
feature-engineering
hyperparameter-optimization
deep-learning
xgboost
keras
deeplearning
tensorflow
artificial-intelligence
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh