PyRank
LeoAnd00

scarse

A package for training SCARSE on small sample sizes of peptide sequences that can later be used to predict peptide properties of unseen peptides. Making SCARSE perfectly suited for AI-infused peptide engineering.
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
10
Week
80
Month
376
Stars
2
Forks
0
Issues
0
Version
1.0.0

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
50
Popularity
6
Adoption
25
Community
0
Provenance
0
How the maintenance status was determined
Last commit
10 days ago
Monthly downloads
376
• 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
376
Stars
2
Stars per 1k downloads
5.32
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
11
Month daily avg
13
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
>=3.12
• 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
10 days ago
Total releases
1
Releases/year
36.5
• 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
2
Monthly downloads
376
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
8
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
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

No OS data available

Python Versions

No Python version data available

Top Countries

1. CA CA
2
2. US US
2

Dependencies

85

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
June 26, 2026
Last Release
1 week ago
Last Commit
1 week ago
Latest Version
1.0.0
Total Releases
1
Contributors
2
Open PRs
0
Archived
No
Author
Leo Andrekson, Robin Rydbergh, Rocío Mercado, Michaela Wenzel
Python Versions
3
Tracking Since
June 26, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links