PyPI Stats
quic

aimet-torch

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (quic/aimet) with 2 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
1.9K
Week
7.4K
Month
29.4K
Stars
2.6K
Forks
450
Issues
23
Version
2.30.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
74
Adoption
64
Community
50
How the maintenance status was determined
Last commit
4 days ago
Monthly downloads
29,389
• 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
29,389
Stars
2,607
Stars per 1k downloads
88.71
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
1,064
Month daily avg
980
Momentum
+8.6%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=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
BSD-3-Clause
• 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
1 days ago
Total releases
44
Releases/year
19.7
• 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
89
Monthly downloads
29,389
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
64
 
Issue Burden
8.8
per 1k stars
Discussions
7.7
per 1k stars
Fork Ratio
19.8%
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 445

Python Versions

3.10
70.1% 312
3.12
29.9% 133

Top Countries

1. US US
385
2. CN CN
49
3. NL NL
40
4. TW TW
9
5. AE AE
8
6. IT IT
8
7. DE DE
3
8. SG SG
3
9. AU AU
2
10. CA CA
2

Dependencies

23
34 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
BSD-3-Clause
First Release
February 9, 2024
Last Release
Yesterday
Last Commit
4 days ago
Latest Version
2.30.0
Total Releases
44
Contributors
89
Open PRs
0
Archived
No
Author
Qualcomm Innovation Center, Inc.
Wheels
cp310 cp38 py310 py38
Topics
quantization deep-learning compression open-source machine-learning pruning auto-ml network-compression deep-neural-networks network-quantization opensource
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links