Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
90
Popularity
78
Adoption
69
Community
80
How the maintenance status was determined
Last commit
8 days ago
Monthly downloads
952,809
•
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
952,809
Stars
4,340
Stars per 1k downloads
4.55
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
31,602
Month daily avg
31,760
Momentum
-0.5%
((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
8 days ago
Total releases
105
Releases/year
19.4
•
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
10,000
Monthly downloads
952,809
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
87
Issue Burden
36.9
per 1k stars
Discussions
21.9
per 1k stars
Fork Ratio
1785.7%
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
23.0K
macOS
145
Windows
126
Python Versions
3.10
71.4%
16.4K
3.11
11.9%
2.7K
3.12
11.8%
2.7K
3.13
2.8%
652
3.9
2.0%
454
Top Countries
1.
US
20.5K
US
2.
JP
877
JP
3.
IN
592
IN
4.
NL
408
NL
5.
IR
218
IR
6.
RU
212
RU
7.
ES
210
ES
8.
SG
196
SG
9.
CN
130
CN
10.
DE
106
DE
Dependencies
1
- numpy >=1.17
88 optional dependencies
- azureml-mlflow[azureml]
- catboost[test]
- catboost[benchmark]
- catboost[catboost]
- coverage[test]
- datasets[nlp]
- datasets[test]
- datasets[hf]
- dill[test]
- evaluate[test]
- hcrystalball[test]
- hcrystalball[ts-forecast]
- hcrystalball[forecast]
- holidays[ts-forecast]
- holidays[forecast]
- ipykernel[test]
- joblib[spark]
- joblib[test]
- joblibspark[test]
- joblibspark[spark]
- joblibspark[synapse]
- jupyter[notebook]
- jupyter[test]
- lightgbm[test]
- lightgbm[automl]
- mlflow-skinny[test]
- nbconvert[test]
- nbformat[test]
- nltk[hf]
- nltk[nlp]
- nltk[test]
- nni[nni]
- numpy[test]
- openml[test]
- optuna[blendsearch]
- optuna[synapse]
- optuna[test]
- packaging[autozero]
- packaging[blendsearch]
- packaging[test]
- pandas[spark]
- pandas[automl]
- pandas[autozero]
- pandas[benchmark]
- pandas[test]
- pre-commit[test]
- prophet[forecast]
- prophet[ts-forecast]
- psutil[benchmark]
- psutil[test]
- pyspark[spark]
- pyspark[synapse]
- pytest[test]
- pytest-rerunfailures[test]
- pytorch-forecasting[forecast]
- pytorch-forecasting[test]
- pytorch-lightning[forecast]
- pytorch-lightning[test]
- ray[ray]
- requests[test]
- rgf-python[test]
- rouge-score[hf]
- rouge-score[nlp]
- rouge-score[test]
- scikit-learn[automl]
- scikit-learn[autozero]
- scikit-learn[test]
- scikit-learn[vw]
- scipy[automl]
- scipy[test]
- seqeval[hf]
- seqeval[nlp]
- seqeval[test]
- statsmodels[forecast]
- statsmodels[test]
- statsmodels[ts-forecast]
- tensorboardx[forecast]
- tensorboardx[test]
- thop[test]
- torch[test]
- torchvision[test]
- transformers[hf]
- transformers[nlp]
- transformers[test]
- vowpalwabbit[vw]
- xgboost[automl]
- xgboost[benchmark]
- xgboost[test]
Package Information
License
MIT
First Release
December 4, 2020
Last Release
1 week ago
Last Commit
1 week ago
Latest Version
2.6.0
Total Releases
105
Contributors
10,000
Open PRs
20
Archived
No
Python Versions
3
3.10
3.11
3.12
3.13
Wheels
py3
Topics
automl
hyperparam
automated-machine-learning
machine-learning
data-science
python
jupyter-notebook
hyperparameter-optimization
random-forest
scikit-learn
deep-learning
natural-language-processing
natural-language-generation
timeseries-forecasting
classification
regression
tuning
finetuning
tabular-data
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh