Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
60
Popularity
4
Adoption
6
Community
0
How the maintenance status was determined
Last commit
40 days ago
Monthly downloads
4
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
4
Stars
1
Stars per 1k downloads
250.00
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
0
Month daily avg
0
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
>=3.6
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
5
Releases/year
1.9
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
4
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
-
contrib / forks
Stale Release
923d
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
7
- distfit ==1.6.11
- matplotlib ==3.8.0
- numpy ==1.26.0
- pandas ==2.1.0
- scikit-learn ==1.3.0
- scipy ==1.11.2
- setuptools >=68.2.2
Used By
0
Not used by any tracked packages
Package Information
License
MIT
First Release
September 14, 2023
Last Release
2 years ago
Last Commit
1 month ago
Latest Version
0.9.7
Total Releases
5
Contributors
1
Open PRs
0
Archived
No
Author
Netanel Eliav
Python Versions
3
3.6
3.7
3.8
3.9
3.10
3.11
Keywords
sklearn
scikit-learn
python
data analysis
machine learning
data visualization
python library
data processing
data science
data exploration
data manipulation
analytics
statistics
artificial intelligence
AI
feature engineering
data preprocessing
predictive modeling
classification
regression
missing data
data cleaning
data imputation
data quality
missing data analysis
data handling
data integrity
data cleansing
data wrangling
data validation
data completeness
impute missing values
Tracking Since
May 17, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh