Graphia
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Graphia
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NetworkX – Network Analysis in Python
Export the graph to GML or to GraphML or to GraphViz DOT or to some other Graph format. BTW I recommend 3D graph visualization over 2D when possible, that is when you're exploring interactively as opposed to printing figures. The Graphia tool is the only FOSS tool for this purpose that I know of:
https://graphia.app
https://github.com/graphia-app/graphia
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How to create a map showing the relationship between separate data points?
I may be biased. https://graphia.app
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Graphviz: Open-source graph visualization software
A fast 3D alternative for visualizing large graphs is Graphia: https://github.com/graphia-app/graphia https://graphia.app However, it's currently suffering from the Qt switch from 5 to 6.
Regarding Graphviz itself, I wonder why is there no special layout logic for planar graphs? They can be recognized and embedded on the plane in linear time without intersecting edges, so it would be very nice if some of the Graphviz tools actually did that.
A recent set of minimal graph coloring Graphviz visualizations of mine: https://gitlab.com/nsajko/example_optimally_colored_graphs
- Handbook of Graph Drawing and Visualization
- Rick and Morty’s Thanksploitation Deciduous Decision Tree
ggshakeR
What are some alternatives?
AlphaPlot - :chart_with_upwards_trend: Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
understatr - fetch understat data
matplotplusplus - Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
sjPlot - sjPlot - Data Visualization for Statistics in Social Science
Gephi - Gephi - The Open Graph Viz Platform
esquisse - RStudio add-in to make plots interactively with ggplot2
dtale - Visualizer for pandas data structures
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
sketchviz - A command line clone of https://sketchviz.com/
Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
pygraphistry - PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
ggthemr - Themes for ggplot2.