Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
☆684Feb 19, 2025Updated last year
Alternatives and similar repositories for featurewiz
Users that are interested in featurewiz are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆549Jan 30, 2025Updated last year
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,268Jul 31, 2026Updated last week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆658Feb 19, 2024Updated 2 years 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…☆765Aug 20, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆545Jan 6, 2026Updated 7 months ago
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,901Jun 10, 2024Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Jan 29, 2025Updated last year
- EvalML is an AutoML library written in python.☆853Jan 14, 2026Updated 6 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,612Aug 3, 2026Updated last week
- Flexible time series feature extraction & processing☆442Sep 6, 2024Updated last year
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆119May 9, 2024Updated 2 years ago
- All Relevant Feature Selection☆145Apr 3, 2025Updated last year
- An open source python library for automated feature engineering☆7,665Jul 27, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆452Updated this week
- Python implementations of the Boruta all-relevant feature selection method.☆1,625Nov 13, 2025Updated 8 months ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆630Nov 19, 2024Updated last year
- An extension of XGBoost to probabilistic modelling☆729Jun 1, 2026Updated 2 months ago
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆355Jul 30, 2026Updated last week
- A power-full Shapley feature selection method.☆216Oct 7, 2025Updated 10 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,578Updated this week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,253Jul 28, 2026Updated last week
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Automated Time Series Forecasting☆1,423Aug 2, 2026Updated last week
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Jan 6, 2024Updated 2 years ago
- Feature selection library in python☆148Jul 21, 2026Updated 2 weeks ago
- An intuitive library to extract features from time series.☆1,098Jan 30, 2026Updated 6 months ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,281Jul 27, 2026Updated last week
- nannyml: post-deployment data science in python☆2,147Jul 12, 2025Updated last year
- Machine learning with dataframes☆1,648Jul 23, 2026Updated 2 weeks ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,864Updated this week
- Leave One Feature Out Importance☆870Feb 14, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Random Forest-based "Correlation" measures☆15May 3, 2022Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117May 13, 2023Updated 3 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Apr 19, 2025Updated last year
- An extension of LightGBM to probabilistic modelling☆391Jun 1, 2026Updated 2 months ago
- Extra blocks for scikit-learn pipelines.☆1,408Aug 1, 2026Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,262Updated this week
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆514Mar 31, 2025Updated last year