PyPI Stats
intel

neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
PyPI GitHub

Shared Repository

This package shares its GitHub repository (intel/neural-compressor) with 7 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
1.4K
Week
6.1K
Month
22.3K
Stars
2.6K
Forks
304
Issues
1
Version
3.8

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
72
Adoption
73
Community
80
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
22,316
• 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
22,316
Stars
2,633
Stars per 1k downloads
117.99
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
878
Month daily avg
744
Momentum
+18.0%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.11.0
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
Apache 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
40 days ago
Total releases
46
Releases/year
10.0
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
168
Monthly downloads
22,316
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
78
 
Issue Burden
0.4
per 1k stars
Discussions
5.3
per 1k stars
Fork Ratio
55.3%
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 325
Windows 30
macOS 6

Python Versions

3.10
57.1% 204
3.11
19.3% 69
3.7
10.4% 37
3.12
9.5% 34
3.14
3.6% 13

Top Countries

1. AU AU
170
2. US US
148
3. KR KR
16
4. BE BE
5
5. IN IN
4
6. ZA ZA
4
7. DE DE
3
8. FR FR
2
9. IL IL
2
10. IT IT
2

Package Information

License
Apache 2.0
First Release
September 26, 2021
Last Release
1 month ago
Last Commit
6 days ago
Latest Version
3.8
Total Releases
46
Contributors
168
Open PRs
13
Archived
No
Author
Intel AIPT Team
Python Versions
3
Wheels
cp36 py3
Keywords
quantization auto-tuning post-training static quantization post-training dynamic quantization quantization-aware training
Topics
low-precision pruning sparsity auto-tuning knowledge-distillation quantization quantization-aware-training post-training-quantization smoothquant large-language-models awq fp4 gptq int4 int8 mxformat sparsegpt
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links