PyPI Stats
PaddlePaddle

ppvideo

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (PaddlePaddle/PaddleVideo) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
5
Week
28
Month
772
Stars
1.7K
Forks
387
Issues
185
Version
2.3.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
30
Popularity
71
Adoption
28
Community
70
How the maintenance status was determined
Last commit
448 days ago
Monthly downloads
772
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
772
Stars
1,695
Stars per 1k downloads
2195.60
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
4
Month daily avg
26
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
Not specified
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
Package does not declare a minimum Python version.
License categories
License
Apache License 2.0
• 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
1274 days ago
Total releases
10
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
90
Monthly downloads
772
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
75
 
Issue Burden
109.1
per 1k stars
Discussions
1.2
per 1k stars
Fork Ratio
23.3%
contrib / forks
Stale Release
825d
 
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
1

Dependencies

9

Used By

0
Not used by any tracked packages

Package Information

License
Apache License 2.0
First Release
January 12, 2021
Last Release
3 years ago
Last Commit
1 year ago
Latest Version
2.3.1
Total Releases
10
Contributors
90
Open PRs
4
Archived
No
Python Versions
3 3.2 3.3 3.4 3.5 3.6 3.7
Wheels
py3
Keywords
A treasure chest for video understanding powered by PaddlePaddle.
Topics
video-recognition tsm slowfast tsn bmn action-recognition youtube-8m kinetics400 video-understanding activitynet action-detection temporal-action-detection action-localization ava actbert pp-tsm videotag st-gcn t2vlad
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links