Description
This package facilitates the creation and rendering of graph descriptions in
the DOT language of the Graphviz graph drawing software (master repo) from
Python.
Create a graph object, assemble the graph by adding nodes and edges, and
retrieve its DOT source code string. Save the source code to a file and render
it with the Graphviz installation of your system.
Use the view option/method to directly inspect the resulting (PDF, PNG,
SVG, etc.) file with its default application. Graphs can also be rendered
and displayed within Jupyter notebooks (formerly known as
IPython notebooks, example) as well as the Jupyter Qt Console.
Graphviz alternatives and similar packages
Based on the "Data Visualization" category.
Alternatively, view Graphviz alternatives based on common mentions on social networks and blogs.
-
Apache Superset
Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset] -
diagrams
:art: Diagram as Code for prototyping cloud system architectures -
redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data. -
plotly
The interactive graphing library for Python :sparkles: This project now includes Plotly Express! -
PyQtGraph
Fast data visualization and GUI tools for scientific / engineering applications -
Flask JSONDash
:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. -
ipyvizzu
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. -
GooPyCharts
A Google Charts API for Python, meant to be used as an alternative to matplotlib. -
topojson
Encode spatial data as topology in Python! ๐ https://mattijn.github.io/topojson
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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