Feature engineering and selection open-source Python library compatible with sklearn.
☆2,219Mar 9, 2026Updated 3 weeks ago
Alternatives and similar repositories for feature_engine
Users that are interested in feature_engine are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Extra blocks for scikit-learn pipelines.☆1,386Updated this week
- An open source python library for automated feature engineering☆7,626Feb 3, 2026Updated last month
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆678Feb 19, 2025Updated last year
- EvalML is an AutoML library written in python.☆846Jan 14, 2026Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,528Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated 3 weeks ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated 2 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,577Feb 24, 2026Updated last month
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- A unified framework for machine learning with time series☆9,666Updated this week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆650Feb 19, 2024Updated 2 years ago
- Automatic extraction of relevant features from time series:☆9,160Nov 15, 2025Updated 4 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,623Nov 13, 2025Updated 4 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,129Jan 24, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- An open-source, low-code machine learning library in Python☆9,727Apr 21, 2025Updated 11 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,153Feb 6, 2026Updated last month
- Machine learning with dataframes☆1,586Updated this week
- Time series forecasting with machine learning models☆1,470Updated this week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,248Jul 7, 2025Updated 8 months ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆766Aug 20, 2024Updated last year
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,999Dec 28, 2025Updated 3 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,042Mar 3, 2026Updated 3 weeks ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,727Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Scalable machine 🤖 learning for time series forecasting.☆1,194Mar 23, 2026Updated last week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,446Jun 26, 2024Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Jun 8, 2024Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,505Dec 11, 2025Updated 3 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,093Mar 23, 2026Updated last week
- The machine learning toolkit for time series analysis in Python☆3,135Updated this week
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,452Mar 3, 2026Updated 3 weeks ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,273Mar 22, 2026Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆442Apr 23, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,305Mar 21, 2026Updated last week
- 🌊 Online machine learning in Python☆5,757Mar 9, 2026Updated 3 weeks ago
- Automated Time Series Forecasting☆1,384Updated this week
- Natural Gradient Boosting for Probabilistic Prediction☆1,853Mar 23, 2026Updated last week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,480Feb 11, 2026Updated last month
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,073Mar 22, 2026Updated last week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,168Oct 4, 2025Updated 5 months ago