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README_Training & Indutrial Visualisation.md

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ML Training & Indutrial Visualisation Frameworks

  • Bokeh - Bokeh is an interactive visualization library for Python that enables beautiful and meaningful visual presentation of data in modern web browsers.
  • Geoplotlib - geoplotlib is a python toolbox for visualizing geographical data and making maps
  • ggplot2 - An implementation of the grammar of graphics for R.
  • matplotlib - A Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
  • Missigno - missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset.
  • PDPBox - This repository is inspired by ICEbox. The goal is to visualize the impact of certain features towards model prediction for any supervised learning algorithm. (now support all scikit-learn algorithms)
  • Perspective Streaming pivot visualization via WebAssembly https://perspective.finos.org/
  • Pixiedust - PixieDust is a productivity tool for Python or Scala notebooks, which lets a developer encapsulate business logic into something easy for your customers to consume.
  • Plotly Dash - Dash is a Python framework for building analytical web applications without the need to write javascript.
  • Plotly.py - An interactive, open source, and browser-based graphing library for Python.
  • PyCEbox - Python Individual Conditional Expectation Plot Toolbox
  • pygal - pygal is a dynamic SVG charting library written in python
  • Redash - Redash is anopen source visualisation framework that is built to allow easy access to big datasets leveraging multiple backends.
  • seaborn - Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
  • Streamlit - Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file
  • XKCD-style plots - An XKCD theme for matblotlib visualisations
  • yellowbrick - yellowbrick is a matplotlib-based model evaluation plots for scikit-learn and other machine learning libraries.