No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Provenance Mismatch
This package's publish attestation (PEP 740) proves it builds from kgdunn/process-improve, not the linked kgdunn/process_improve. Stars and other GitHub metrics shown here come from the claimed repository.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
27
Adoption
43
Community
50
Provenance
0
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
21,978
•
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
21,978
Stars
15
Stars per 1k downloads
0.68
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
548
Month daily avg
733
Momentum
-25.2%
((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
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
2 days ago
Total releases
252
Releases/year
37.3
•
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
21,978
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
57
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
58.3%
contrib / forks
Stale Release
No
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
209
Python Versions
3.12
87.6%
183
3.11
10.5%
22
3.13
1.9%
4
Top Countries
1.
US
222
US
2.
SE
18
SE
3.
SG
10
SG
4.
FR
3
FR
5.
GB
2
GB
6.
KR
1
KR
Dependencies
8
- numpy >=2.2.6
- pandas <3.0,>=2.3.3
- patsy >=1.0.2
- pydantic >=2.12.5
- pyyaml >=6.0
- scikit-learn >=1.7.2
- statsmodels >=0.14.6
- tqdm >=4.67.1
38 optional dependencies
- coverage[dev]
- hypothesis[dev]
- ipykernel[dev]
- matplotlib[plotting]
- matplotlib[all]
- matplotlib-stubs[dev]
- mcp[all]
- mcp[mcp]
- mypy[dev]
- nbsphinx[dev]
- numba[all]
- numba[fast]
- openpyxl[all]
- openpyxl[batch]
- pandas-stubs[dev]
- plotly[plotting]
- plotly[all]
- plotly-stubs[dev]
- pre-commit[dev]
- pulp[ilp]
- pulp[all]
- pydata-sphinx-theme[dev]
- pydoe3[all]
- pydoe3[expt]
- pytest[dev]
- pytest-benchmark[dev]
- pytest-cov[dev]
- pytest-xdist[dev]
- ridgeplot[all]
- ridgeplot[plotting]
- ruff[dev]
- scikit-image[batch]
- scikit-image[all]
- seaborn[plotting]
- seaborn[all]
- sphinx[dev]
- tqdm-stubs[dev]
- watchdog[dev]
Used By
1
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Chemometrics
Design Of Experiments
Multivariate Analysis
Multivariate Statistics
Pca
Pls
Batch Process
Latent Variables
Multiblock Structures
Partial Least Squares
Partial Least Squares Regression
Principal Component Analysis Pca
Principal Components Regression
Process Monitoring
Statistical Process Control
Experimental Design
Batch Data Analysis
Package Information
License
MIT
First Release
October 3, 2019
Last Release
2 days ago
Last Commit
4 days ago
Latest Version
1.51.2
Total Releases
252
Contributors
7
Open PRs
4
Archived
No
Author
Kevin Dunn
Python Versions
3
3.10
3.11
3.12
3.13
Wheels
py3
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh