No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
4
Adoption
36
Community
15
Provenance
100
How the maintenance status was determined
Last commit
4 days ago
Monthly downloads
4,383
•
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
4,383
Stars
1
Stars per 1k downloads
0.23
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
305
Month daily avg
146
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
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
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
4 days ago
Total releases
14
Releases/year
58.7
•
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
1
Monthly downloads
4,383
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
22
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
contrib / forks
Stale Release
No
PR Velocity
Overwhelmed
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
No OS data available
Python Versions
No Python version data available
Top Countries
1.
JP
46
JP
2.
US
28
US
3.
CA
14
CA
4.
DK
10
DK
5.
FR
6
FR
6.
IN
2
IN
7.
NO
2
NO
8.
CN
1
CN
Dependencies
27
- faiss-cpu <2.0.0,>=1.7.0
- lime <1.0.0,>=0.2.0
- markdown <4.0.0,>=3.3.0
- matplotlib <3.9.0,>=3.6.0
- numpy <2.3.0,>=1.22.0
- optuna <5.0.0,>=3.0.0
- pandas <2.4.0,>=1.4.0
- pillow <11.0.0,>=9.0.0
- playwright <2.0.0,>=1.40.0
- plotly <6.0.0,>=5.0.0
- polars <2.0.0,>=0.20.0
- pyarrow >=12.0.0
- pyjwt <3.0.0,>=2.0.0
- pytorch-tabnet2 <5.0.0,>=4.1.0
- scikit-learn <1.8.0,>=1.2.0
- scipy <1.12.0,>=1.8.0
- seaborn <0.14.0,>=0.11.0
- sentence-transformers <6.0.0,>=2.2.0
- shap <1.0.0,>=0.42.0
- spacy <4.0.0,>=3.5.0
- statsmodels <1.0.0,>=0.13.0
- tensorflow <2.16.0,>=2.10.0
- tf-keras >=2.16.0
- torch <2.13.0,>=1.13.0
- tqdm <5.0.0,>=4.50.0
- transformers <6.0.0,>=4.30.0
- weasyprint <70.0,>=57.0
4 optional dependencies
- flask[serve]
- mcp[mcp]
- pytest[dev]
- pytest-cov[dev]
Used By
0
Not used by any tracked packages
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
MIT
First Release
April 10, 2026
Last Release
5 days ago
Last Commit
5 days ago
Latest Version
1.2.5
Total Releases
14
Contributors
1
Open PRs
6
Archived
No
Python Versions
3
3.10
3.11
3.12
3.13
3.14
Wheels
py3
Keywords
machine-learning
data-science
automation
pipeline
automl
scikit-learn
regression
classification
clustering
deep-learning
nlp
text-classification
contrastive-learning
anomaly-detection
time-series
ensemble-learning
hyperparameter-tuning
model-selection
cross-validation
feature-selection
bert
transformers
tensorflow
pytorch
computer-vision
image-classification
html-report
plotly
eda
preprocessing
mcp
model-context-protocol
Tracking Since
April 12, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh