PyRank
sandialabs

pyapprox

Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
PyPI GitHub Verified repo
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
64
Week
305
Month
1.5K
Stars
72
Forks
15
Issues
0
Version
2.0.0

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
60
Popularity
38
Adoption
31
Community
30
Provenance
100
How the maintenance status was determined
Last commit
29 days ago
Monthly downloads
1,508
• 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
1,508
Stars
72
Stars per 1k downloads
47.75
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
44
Month daily avg
50
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
>=3.11
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
MIT
• 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
29 days ago
Total releases
4
Releases/year
0.6
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
7
Monthly downloads
1,508
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
36
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
46.7%
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 49

Python Versions

3.11
95.9% 47
3.10
4.1% 2

Top Countries

1. US US
52
2. CN CN
7
3. SG SG
2
4. BR BR
1

Dependencies

6
47 optional dependencies

Used By

2
GitHub Topics
Tags from the package's GitHub repository describing what it does.

Package Information

License
MIT
First Release
December 4, 2019
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
2.0.0
Total Releases
4
Contributors
7
Open PRs
0
Archived
No
Python Versions
3 3.11 3.12 3.13
Wheels
cp311 cp37 py3
Keywords
experimental-design gaussian-process multi-fidelity surrogate-modeling uncertainty-quantification
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links