Alternatives and similar repositories for waterfall

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

• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated last year
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• d6t / d6tpipe
  Push and pull data files like code
  ☆175Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 6 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• altair-viz / altair-tutorial
  Notebooks for the Altair tutorial
  ☆365Updated 5 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• d6t / d6t-python
  Accelerate data science
  ☆118Updated 4 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 9 months ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• polyaxon / traceml
  Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
  ☆527Updated 2 weeks ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 3 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆160Updated 5 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 7 years ago
• altair-viz / altair_notebooks
  Tutorial and Examples Jupyter Notebooks for Altair
  ☆230Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆129Updated 4 years ago