PyPI Stats
scikit-learn-contrib

metric-learn

Metric learning algorithms in Python
PyPI GitHub
Downloads
Day
523
Week
1.6K
Month
6.3K
Stars
1.4K
Forks
232
Issues
42
Version
0.7.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
67
Adoption
58
Community
55
How the maintenance status was determined
Last commit
47 days ago
Monthly downloads
6,339
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
6,339
Stars
1,434
Stars per 1k downloads
226.22
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
228
Month daily avg
211
Momentum
+7.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
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
940 days ago
Total releases
10
Releases/year
0.9
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
39
Monthly downloads
6,339
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
71
 
Issue Burden
29.3
per 1k stars
Discussions
3.5
per 1k stars
Fork Ratio
16.8%
contrib / forks
Stale Release
892d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 133
Windows 2

Python Versions

3.9
36.1% 48
3.12
23.3% 31
3.10
20.3% 27
3.11
18.0% 24
3.7
2.3% 3

Top Countries

1. TW TW
45
2. SG SG
31
3. US US
30
4. NL NL
16
5. IN IN
8
6. CN CN
5
7. CA CA
1

Dependencies

3
7 optional dependencies

Used By

4

Package Information

License
MIT
First Release
September 16, 2015
Last Release
2 years ago
Last Commit
1 month ago
Latest Version
0.7.0
Total Releases
10
Contributors
39
Open PRs
9
Archived
No
Author
['CJ Carey', 'Yuan Tang', 'William de Vazelhes', 'Aurélien Bellet', 'Nathalie Vauquier']
Python Versions
3
Wheels
py2 py3
Keywords
Metric Learning Large Margin Nearest Neighbor Information Theoretic Metric Learning Sparse Determinant Metric Learning Least Squares Metric Learning Neighborhood Components Analysis Local Fisher Discriminant Analysis Relative Components Analysis Mahalanobis Metric for Clustering Metric Learning for Kernel Regression
Topics
python metric-learning scikit-learn machine-learning
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links