Alternatives and similar repositories for alibi-detect

Users that are interested in alibi-detect are comparing it to the libraries listed below

• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,607Updated 2 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,177Updated 2 weeks ago
• NannyML / nannyml
  nannyml: post-deployment data science in python
  ☆2,120Updated 6 months ago
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆790Updated 2 years ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,566Updated last month
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆799Updated 4 months ago
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,852Updated 10 months ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆2,027Updated 7 months ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• salesforce / OmniXAI
  OmniXAI: A Library for eXplainable AI
  ☆961Updated last year
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,465Updated 5 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,376Updated last month
• pytorch-tabular / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,620Updated last week
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆3,111Updated last month
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,171Updated 3 months ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆841Updated last week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,818Updated last month
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,482Updated 6 months ago
• deepchecks / deepchecks
  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…
  ☆3,962Updated 2 weeks ago
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,214Updated last month
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆988Updated last month
• whylabs / whylogs
  An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…
  ☆2,787Updated last year
• mlrun / mlrun
  MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…
  ☆1,640Updated this week
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆854Updated 11 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,503Updated this week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆550Updated 2 years ago
• Renumics / awesome-open-data-centric-ai
  Curated list of open source tooling for data-centric AI on unstructured data.
  ☆735Updated 2 years ago
• ydataai / ydata-quality
  Data Quality assessment with one line of code
  ☆452Updated 3 weeks ago
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,885Updated last year
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,751Updated 10 months ago