PyPI Stats
martineastwood

featuristic

Automated, interpretable feature engineering using symbolic regression and genetic programming.
PyPI GitHub
Downloads
Day
32
Week
36
Month
240
Stars
7
Forks
2
Issues
0
Version
1.1.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
60
Popularity
17
Adoption
23
Community
20
How the maintenance status was determined
Last commit
82 days ago
Monthly downloads
240
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
240
Stars
7
Stars per 1k downloads
29.17
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
5
Month daily avg
8
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.8
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
Not specified
• 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
Package does not declare a license.
How the release cadence was determined
Last release
756 days ago
Total releases
5
Releases/year
2.4
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
1
Monthly downloads
240
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
5
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
50.0%
contrib / forks
Stale Release
673d
 
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. US US
3
2. CA CA
1

Dependencies

7
12 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Unknown
First Release
March 27, 2024
Last Release
2 years ago
Last Commit
2 months ago
Latest Version
1.1.0
Total Releases
5
Contributors
1
Open PRs
0
Archived
No
Python Versions
3 3.8 3.9 3.10 3.11 3.12
Wheels
py3
Keywords
data machine learning feature engineering feature selection model selection model evaluation genetic algorithm optimization hyperparameter tuning
Topics
automated-feature-engineering automl data-science feature-engineering feature-selection machine-learning python scikit-learn
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links