Monthly downloads
426
Weekly downloads
326
GitHub stars
21
Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
Latest Version
Requires Python
<3.15,>=3.9
Licence
MIT
Last Release
1 week ago
First Release
June 20, 2026
Total Releases
3
Python Versions
3
3.9
3.10
3.11
3.12
3.13
3.14
No reported malware or high/critical advisories · Details
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
60
Popularity
27
Adoption
26
Community
20
Provenance
0
How the maintenance status was determined
Last commit
8 days ago
Monthly downloads
426
•
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
426
Stars
21
Stars per 1k downloads
49.30
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
47
Month daily avg
14
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.
More insights and metrics
Python version support tiers
requires_python
<3.15,>=3.9
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
•
Legacy
Supports 3.10 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
7 days ago
Total releases
3
Releases/year
9.3
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
3
Monthly downloads
426
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
35
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
50.0%
contrib / forks
Stale Release
No
PR Velocity
Quiet
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
3
Python Versions
3.14
66.7%
2
3.11
33.3%
1
Top Countries
1.
US
12
US
2.
DE
7
DE
3.
JP
6
JP
4.
FR
5
FR
5.
CN
2
CN
6.
DK
2
DK
7.
GB
1
GB
Weekly Downloads
GitHub Stars
Dependencies
24
- bottleneck >=1.3.6
- cloudpickle >=2.0.0
- cython >=0.29
- dill >=0.3.4
- graphviz >=0.16
- ipython >=7.0.0
- joblib >=1.0.0
- lz4 >=3.1.0
- matplotlib >=3.3.0
- numexpr >=2.8.4
- numpy >=1.23.0
- openpyxl >=3.1.0
- ortools >=9.0
- packaging
- pandas >=2.0.0
- pyarrow >=12
- pyecharts >=1.9.0
- scikit-learn >=0.24.0
- scipy >=1.5.0
- seaborn >=0.13.2
-
shap
<0.50,>=0.49.1
python_version < "3.11"
- statsmodels >=0.12.0
- tqdm >=4.50.0
- zstandard >=0.15.0
48 optional dependencies
-
black>=24.10[dev]extra == "dev"
-
build>=1.0.0[dev]extra == "dev"
-
catboost>=1.0.0[boost]extra == "boost"
-
check-manifest>=0.49[dev]extra == "dev"
-
clickhouse-connect<0.14.1,>=0.7.17[db-clickhouse]python_version < "3.10" and extra == "db-clickhouse"
-
cmaes[tune]extra == "tune"
-
dbutils<4,>=3.1.2[db-hive]extra == "db-hive"
-
dbutils<4,>=3.1.2[db-impala]extra == "db-impala"
-
dbutils<4,>=3.1.2[db-mysql]extra == "db-mysql"
-
dbutils<4,>=3.1.2[db-starrocks]extra == "db-starrocks"
-
flake8>=3.9.0[dev]extra == "dev"
-
hscredit[all]extra == "all"
-
hscredit[database-all]extra == "database-all"
-
impyla<1,>=0.22[db-hive]extra == "db-hive"
-
impyla<1,>=0.22[db-impala]extra == "db-impala"
-
ipykernel>=6.0[dev]extra == "dev"
-
jpype1<1.7[pmml](python_version < "3.10" and platform_system == "Windows") and extra == "pmml"
-
jsonschema>=4.18[skills]extra == "skills"
-
lightgbm>=3.2.0[boost]extra == "boost"
-
mypy>=1.8[dev]extra == "dev"
-
myst-parser>=2.0.0[docs]extra == "docs"
-
nbclient>=0.5[dev]extra == "dev"
-
nbformat>=5[dev]extra == "dev"
-
nbsphinx>=0.8.0[docs]extra == "docs"
-
ngboost>=0.3.0[boost]extra == "boost"
-
optuna>=3.0.0[tune]extra == "tune"
-
optuna-dashboard[tune]extra == "tune"
-
optunahub[tune]extra == "tune"
-
oracledb<5,>=2[db-oracle]extra == "db-oracle"
-
plotly[tune]extra == "tune"
-
pymongo<5,>=4.6[db-mongodb]extra == "db-mongodb"
-
pymysql<2,>=1.1[db-starrocks]extra == "db-starrocks"
-
pymysql<2,>=1.1[db-mysql]extra == "db-mysql"
-
pyodps<1,>=0.12.6[db-maxcompute]extra == "db-maxcompute"
-
pypmml>=1.5.8[pmml]extra == "pmml"
-
pytest>=6.0.0[dev]extra == "dev"
-
pytest-cov>=2.0.0[dev]extra == "dev"
-
pytorch-tabnet>=3.1[net]extra == "net"
-
pyzmq>=26.2[dev]platform_system == "Windows" and extra == "dev"
-
redis<9,>=6.2[db-redis]extra == "db-redis"
-
scikit-learn<1.9[pmml]extra == "pmml"
-
sklearn2pmml>=0.125.0[pmml]extra == "pmml"
-
sphinx<9,>=4.0.0[docs]extra == "docs"
-
sphinx-rtd-theme>=0.5.0[docs]extra == "docs"
-
tomli[dev]python_version < "3.11" and extra == "dev"
-
torch>=1.8.0[net]extra == "net"
-
twine>=4.0.0[dev]extra == "dev"
-
xgboost<3.1,>=1.4.0[boost]python_version < "3.11" and extra == "boost"
Used By
0
Not used by any tracked packages
Repository details
GitHub Topics
Data and sources
Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh