π
Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
β3,223Jun 9, 2026Updated this week
Alternatives and similar repositories for shapash
Users that are interested in shapash are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.β2,487Feb 11, 2026Updated 3 months ago
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ222Mar 23, 2026Updated 2 months ago
- A game theoretic approach to explain the output of any machine learning model.β25,515Updated this week
- Fit interpretable models. Explain blackbox machine learning.β6,871Jun 1, 2026Updated last week
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.β9,808Updated this week
- Bare Metal GPUs on DigitalOcean Gradient AI β’ AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,551Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.β2,244Updated this week
- π Online machine learning in Pythonβ5,832Updated this week
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,592May 26, 2026Updated 2 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¦β4,019Dec 28, 2025Updated 5 months ago
- Algorithms for explaining machine learning modelsβ2,628Oct 17, 2025Updated 7 months ago
- Algorithms for outlier, adversarial and drift detectionβ2,522Dec 11, 2025Updated 5 months ago
- Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froβ¦β7,590May 2, 2026Updated last month
- Automatically visualize your pandas dataframe via a single print! π π‘β5,379Mar 20, 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.
- π§ Melusine: Use python to automatize your email processing workflowβ362Feb 26, 2026Updated 3 months ago
- nannyml: post-deployment data science in pythonβ2,141Jul 12, 2025Updated 10 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.β4,364Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.β4,400Feb 19, 2025Updated last year
- Extra blocks for scikit-learn pipelines.β1,397Updated this week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentationβ3,265May 29, 2026Updated last week
- moDel Agnostic Language for Exploration and eXplanationβ1,472Jan 20, 2026Updated 4 months ago
- An open source python library for automated feature engineeringβ7,656Feb 3, 2026Updated 4 months ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analyβ¦β6,305May 29, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A python library for decision tree visualization and model interpretation.β3,149Jan 2, 2026Updated 5 months ago
- A unified framework for machine learning with time seriesβ9,798Updated this week
- Predictive Power Score (PPS) in Pythonβ1,168Mar 11, 2026Updated 2 months ago
- Fast SHAP value computation for interpreting tree-based modelsβ556Jun 26, 2023Updated 2 years ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.β13,589Apr 22, 2026Updated last month
- Visualize and compare datasets, target values and associations, with one line of code.β3,106Apr 11, 2026Updated last month
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,796Jun 2, 2026Updated last week
- A python library for user-friendly forecasting and anomaly detection on time series.β9,414Updated this week
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering andβ¦β10,882Updated this week
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for anyβ¦β103Aug 31, 2022Updated 3 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadβ¦β678Feb 19, 2025Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.β1,518Jul 13, 2025Updated 10 months ago
- EvalML is an AutoML library written in python.β849Jan 14, 2026Updated 4 months ago
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuniβ¦β3,327Apr 26, 2026Updated last month
- Modin: Scale your Pandas workflows by changing a single line of codeβ10,391Feb 10, 2026Updated 4 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per sβ¦β8,503Apr 1, 2026Updated 2 months ago