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.
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Apache Superset
DISCONTINUED. Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset] -
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redash
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plotly
The interactive graphing library for Python :sparkles: This project now includes Plotly Express! -
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#<Sawyer::Resource:0x00007fbd82367850>
Panel: The powerful data exploration & web app framework for Python -
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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. -
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ipyvizzu
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. -
WorkOS - The modern identity platform for B2B SaaS
* 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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