PyRank
PaddlePaddle

plsc

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
PyPI GitHub
More links
Download Stats
Monthly downloads
46
Weekly downloads
13
GitHub stars *
155

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
2.4.0
Requires Python
Not specified
Licence
Apache Software License
Last Release
3 years ago
Author
PLSC Contributors
First Release
December 23, 2019
Total Releases
3
Python Versions
3.7
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
10
Popularity
46
Adoption
16
Community
60
Provenance
0
How the maintenance status was determined
Last commit
1228 days ago
Monthly downloads
46
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
46
Stars
155
Stars per 1k downloads
3369.57
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
2
Month daily avg
2
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.
More insights and metrics
Python version support tiers
requires_python
Not specified
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
Legacy
Supports 3.10 or older (or Python 2)
• Unknown
No requires_python specified or unparseable
Package does not declare a minimum Python version.
License categories
License
Apache Software License
• 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
1368 days ago
Total releases
3
Releases/year
0.4
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
34
Monthly downloads
46
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
60
 
Issue Burden
122.6
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
100.0%
contrib / forks
Stale Release
139d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars *

Dependencies

15

Used By

0
Not used by any tracked packages

Repository details

Forks
34
Issues
19
Last Commit
3 years ago
Contributors
34
Open PRs
3
Archived
No

Data and sources

Tracking Since
October 4, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
face-recognition vision-classification large-scale distributed-training data-parallel model-parallel resnet vit face-vit deit partial-fc arcface
Sources and methodology