Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
β1,630Oct 30, 2026Updated this week
Alternatives and similar repositories for imodels
Users that are interested in imodels are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- machine learning with logical rules in Pythonβ663Jan 31, 2024Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.β2,293Sep 19, 2026Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,661Updated this week
- Python implementation of the rulefit algorithmβ444Oct 8, 2023Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.β6,973Updated this week
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Extra blocks for scikit-learn pipelines.β1,413Oct 23, 2026Updated last week
- Generate Diverse Counterfactual Explanations for any machine learning model.β1,531Jul 13, 2025Updated last year
- π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Modelsβ3,270Updated this week
- moDel Agnostic Language for Exploration and eXplanationβ1,490Jul 15, 2026Updated 3 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadβ¦β685Feb 19, 2025Updated last year
- Algorithms for explaining machine learning modelsβ2,651Oct 17, 2025Updated last year
- Interpret text data with LLMs (sklearn compatible).β177Oct 15, 2026Updated 2 weeks ago
- Machine learning with dataframesβ1,665Updated this week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.β657Feb 19, 2024Updated 2 years ago
- Open source password manager - Proton Pass β’ AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Doubt your data, find bad labels.β514Jul 15, 2024Updated 2 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnosticsβ1,287Mar 30, 2025Updated last year
- Natural Gradient Boosting for Probabilistic Predictionβ1,899Updated this week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.β2,513Feb 11, 2026Updated 8 months ago
- A library of sklearn compatible categorical variable encodersβ2,511Oct 24, 2026Updated last week
- Fast SHAP value computation for interpreting tree-based modelsβ566Jun 26, 2023Updated 3 years ago
- Algorithms for outlier, adversarial and drift detectionβ2,554Dec 11, 2025Updated 10 months ago
- Uplift modeling and causal inference with machine learning algorithmsβ6,037Oct 12, 2026Updated 2 weeks ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.β585Jun 8, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Natural Intelligence is still a pretty good idea.β832Mar 9, 2026Updated 7 months ago
- An extension of XGBoost to probabilistic modellingβ734Oct 2, 2026Updated 3 weeks ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML vaβ¦β4,069Dec 28, 2025Updated 10 months ago
- π Online machine learning in Pythonβ6,141Updated this week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uniβ¦β8,384Updated this week
- An extension of LightGBM to probabilistic modellingβ397Oct 2, 2026Updated 3 weeks ago
- A Python library that helps data scientists to infer causation rather than observing correlation.β2,492Aug 31, 2026Updated 2 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.β4,417Updated this week
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explβ¦β535Oct 20, 2026Updated last week
- End-to-end encrypted email - Proton Mail β’ AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- nannyml: post-deployment data science in pythonβ2,162Jul 12, 2025Updated last year
- A game theoretic approach to explain the output of any machine learning model.β25,839Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,083May 22, 2026Updated 5 months ago
- A Python package for causal inference in quasi-experimental settingsβ1,210Updated this week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Raβ¦β762Aug 20, 2024Updated 2 years ago
- EvalML is an AutoML library written in python.β851Jan 14, 2026Updated 9 months ago
- A Python package for modular causal inference analysis and model evaluationsβ835May 26, 2026Updated 5 months ago