No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
nncf has 851K monthly downloads and 1K GitHub stars. Version 3.2.0 supports Python 3.10+, first published in 2020.
It is actively maintained under a permissive license, last released in Jun 2026.
It is built on top of networkx, ninja and numpy. It is used by 10 tracked packages, including optimum-intel, otx and getitune.
GitHub topics include quantization, pruning and sparsity.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
67
Adoption
99
Community
80
Provenance
0
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
851,155
•
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
851,155
Stars
1,179
Stars per 1k downloads
1.39
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
36,093
Month daily avg
28,372
Momentum
+27.2%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python 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
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
35 days ago
Total releases
33
Releases/year
5.6
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
82
Monthly downloads
851,155
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
94
Issue Burden
17.8
per 1k stars
Discussions
34.8
per 1k stars
Fork Ratio
27.4%
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
19.6K
Windows
3.5K
macOS
2.7K
Python Versions
3.12
44.6%
11.5K
3.13
34.1%
8.7K
3.10
10.9%
2.8K
3.11
8.9%
2.3K
3.9
1.5%
378
Top Countries
1.
US
23.5K
US
2.
PL
1.2K
PL
3.
SG
188
SG
4.
IN
127
IN
5.
VN
85
VN
6.
CN
83
CN
7.
UA
62
UA
8.
NL
46
NL
9.
JP
41
JP
10.
BR
38
BR
Dependencies
12
- networkx <3.5.0,>=2.6
- ninja <1.14,>=1.10.0.post2
- numpy <2.5.0,>=1.24.0
- openvino-telemetry >=2023.2.0
- packaging >=20.0
- psutil
- pydot <=3.0.4,>=1.4.1
- rich >=13.5.2
- safetensors >=0.4.1
- scikit-learn >=0.24.0
- scipy >=1.3.2
- tabulate >=0.9.0
5 optional dependencies
- kaleido[plots]
- matplotlib[plots]
- pandas[plots]
- pillow[plots]
- plotly-express[plots]
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
Apache-2.0
First Release
July 28, 2020
Last Release
1 month ago
Last Commit
1 week ago
Latest Version
3.2.0
Total Releases
33
Contributors
82
Open PRs
23
Archived
No
Author
Intel
Python Versions
3
Wheels
py3
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh