1.skfolio / skfolio
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
+126 stars
from 2,452 · score 4.84
Trending repositories
Ranked by Attention Score: stars gained over the last 30 complete days
25 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
2.onnx / onnx
Open standard for machine learning interoperability
+94 stars
from 21,540 · score 4.55
3.apachecn / ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
+89 stars
from 42,526 · score 4.50
4.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
+56 stars
from 10,751 · score 4.04
5.donnemartin / data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
+46 stars
from 29,340 · score 3.85
6.sktime / sktime
A unified framework for machine learning with time series
+45 stars
from 10,040 · score 3.83
7.Yorko / mlcourse.ai
Open Machine Learning Course
+43 stars
from 10,730 · score 3.78
8.dask / dask
Parallel computing with task scheduling
+22 stars
from 13,922 · score 3.14
9.automl / auto-sklearn
Automated Machine Learning with scikit-learn
+16 stars
from 8,133 · score 2.83
10.pycaret / pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
+14 stars
from 9,844 · score 2.71
11.feature-engine / feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
+11 stars
from 2,285 · score 2.48
12.alteryx / featuretools
An open source python library for automated feature engineering
+10 stars
from 7,684 · score 2.40
13.modAL-python / modAL
A modular active learning framework for Python
+8 stars
from 2,368 · score 2.20
14.trevorstephens / gplearn
Genetic Programming in Python, with a scikit-learn inspired API
+8 stars
from 1,888 · score 2.20
15.skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
+8 stars
from 1,536 · score 2.20
16.AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
+6 stars
from 1,898 · score 1.95
17.fnnx-ai / scikit-llm
Seamlessly integrate LLMs into scikit-learn.
+5 stars
from 3,530 · score 1.79
18.DistrictDataLabs / yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
+4 stars
from 4,404 · score 1.61
19.koaning / scikit-lego
Extra blocks for scikit-learn pipelines.
+3 stars
from 1,410 · score 1.39
20.BayesWitnesses / m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
+2 stars
from 2,997 · score 1.10
21.reiinakano / scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
+2 stars
from 2,433 · score 1.10
22.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
+1 stars
from 2,828 · score 0.69
23.nok / sklearn-porter
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
+1 stars
from 1,302 · score 0.69
24.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
+1 stars
from 390 · score 0.69
25.azukds / tubular
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
+1 stars
from 108 · score 0.69