PyPI Stats
pasqal-io

quantum-evolution-kernel

A Python library designed for the machine learning community to help users design quantum-driven similarity metrics for graphs and to use them inside kernel-based machine learning algorithms for graph data.ide the right environment to explore new ideas - both in terms of methodologies and data domain - while always interacting with a simple and intuitive QPU interface.
PyPI GitHub
Downloads
Day
8
Week
37
Month
468
Stars
56
Forks
13
Issues
4
Version
0.3.4

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
40
Popularity
36
Adoption
26
Community
40
How the maintenance status was determined
Last commit
243 days ago
Monthly downloads
468
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
468
Stars
56
Stars per 1k downloads
119.66
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
16
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
<=3.13,>=3.10
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-derived
• 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
243 days ago
Total releases
13
Releases/year
9.8
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
16
Monthly downloads
468
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
44
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
123.1%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

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

Downloads by OS

Linux 2

Python Versions

3.12
100.0% 2

Top Countries

1. US US
14
2. CA CA
1

Dependencies

10
2 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT-derived
First Release
January 9, 2025
Last Release
8 months ago
Last Commit
8 months ago
Latest Version
0.3.4
Total Releases
13
Contributors
16
Open PRs
0
Archived
No
Python Versions
3.10 3.11 3.12
Wheels
py3
Keywords
quantum
Topics
graph-machine-learning graphs machine-learning quantum-computing molecule
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links