π
Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
β3,253Jul 28, 2026Updated last 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.β2,509Feb 11, 2026Updated 5 months ago
- A game theoretic approach to explain the output of any machine learning model.β25,679Updated this week
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ224Mar 23, 2026Updated 4 months ago
- Fit interpretable models. Explain blackbox machine learning.β6,909Aug 3, 2026Updated last week
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.β9,835Jul 23, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,578Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.β2,268Jul 31, 2026Updated last week
- π Online machine learning in Pythonβ5,911Updated this week
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,612Aug 3, 2026Updated last week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML vaβ¦β4,040Dec 28, 2025Updated 7 months ago
- Algorithms for explaining machine learning modelsβ2,643Oct 17, 2025Updated 9 months ago
- Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froβ¦β7,793Updated this week
- Algorithms for outlier, adversarial and drift detectionβ2,546Dec 11, 2025Updated 7 months ago
- Automatically visualize your pandas dataframe via a single print! π π‘β5,377Mar 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 workflowβ363Jun 24, 2026Updated last month
- nannyml: post-deployment data science in pythonβ2,147Jul 12, 2025Updated last year
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.β4,384Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.β4,401Feb 19, 2025Updated last year
- Extra blocks for scikit-learn pipelines.β1,408Aug 1, 2026Updated last week
- moDel Agnostic Language for Exploration and eXplanationβ1,484Jul 15, 2026Updated 3 weeks ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentationβ3,281Jul 27, 2026Updated 2 weeks ago
- An open source python library for automated feature engineeringβ7,665Jul 27, 2026Updated 2 weeks ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analyβ¦β6,449Jul 27, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A unified framework for machine learning with time seriesβ9,905Updated this week
- A python library for decision tree visualization and model interpretation.β3,155Jan 2, 2026Updated 7 months ago
- Predictive Power Score (PPS) in Pythonβ1,170Mar 11, 2026Updated 4 months ago
- Fast SHAP value computation for interpreting tree-based modelsβ564Jun 26, 2023Updated 3 years ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.β13,661Apr 22, 2026Updated 3 months ago
- Visualize and compare datasets, target values and associations, with one line of code.β3,118Apr 11, 2026Updated 3 months ago
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,864Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.β9,487Updated this week
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering andβ¦β10,949Updated 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.
- 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
- Generate Diverse Counterfactual Explanations for any machine learning model.β1,522Jul 13, 2025Updated last year
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuniβ¦β3,343Apr 26, 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¦β684Feb 19, 2025Updated last year
- EvalML is an AutoML library written in python.β853Jan 14, 2026Updated 6 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¦β8,510Apr 1, 2026Updated 4 months ago
- Modin: Scale your Pandas workflows by changing a single line of codeβ10,391Feb 10, 2026Updated 6 months ago