"Plotly"
The Company behind all of these products.
“Plotly” is also the common name for the graphing libraries available in:
- Python (aka "
plotly.py, https://plotly.com/python, https://github.com/plotly/plotly.py,pip install plotly), - JavaScript (aka “
plotly.js”, https://plotly.com/javascript,npm install plotly.js, https://github.com/plotly/plotly.js) - R (aka “plotly”, includes “ggplotly” too - https://plotly.com/r,
install.package('plotly') - And many more
All of these libraries are rendered using the same underlying javascript library, “plotly.js”.
"Plotly Express"
Refers to the Python submodule plotly.express which provides a higher level, pandas dataframe-friendly, pythonic, and grammar of graphics inspired interface to plotly charts.
See https://plotly.com/python/plotly-express/ & Creating and Updating Figures | Python | Plotly
"Dash"
AKA “Dash Open Source” or “Dash OSS” An open source web application framework library for data science apps. Available in multiple languages (Python, R, Julia). See documentation at https://dash.plotly.com.
Dash Apps often include include graphs and charts. These graphs and charts are powered by the “plotly” libraries via the dcc.Graph component.
MIT licensed & free. Installed with pip install dash
"Dash Enterprise"
A commercially licensed platform for developing & sharing data science apps. See https://plotly.com/dash.
Commercially licensed and installed on private corporate VPCs.