Alternatives and similar repositories for dtreeviz:

Users that are interested in dtreeviz are comparing it to the libraries listed below

• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,306Updated 3 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,763Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,420Updated last week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,539Updated 5 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,350Updated this week
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆849Updated 4 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,291Updated this week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,941Updated 2 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆1,972Updated this week
• fbdesignpro / sweetviz
  Visualize and compare datasets, target values and associations, with one line of code.
  ☆2,970Updated 5 months ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,928Updated 3 weeks ago
• raphaelvallat / pingouin
  Statistical package in Python based on Pandas
  ☆1,668Updated last month
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,753Updated 10 months ago
• AutoViML / AutoViz
  Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…
  ☆1,763Updated 7 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,334Updated this week
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,763Updated last week
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,090Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,894Updated 3 weeks ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,416Updated last week
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,394Updated 2 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,429Updated last month
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,820Updated last year
• ResidentMario / missingno
  Missing data visualization module for Python.
  ☆3,999Updated 8 months ago
• TDAmeritrade / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,741Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,673Updated 2 weeks ago
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,348Updated 2 weeks ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,598Updated 6 months ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,275Updated 6 months ago
• jmcarpenter2 / swifter
  A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
  ☆2,559Updated 9 months ago