Visualize node-link graphs using Graphistry's cloud

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  • License: BSD License (BSD)
  • Author: The Graphistry Team
  • Tags Graph, Network, Plot, Visualization, Pandas, Igraph, Jupyter, Notebook, Neo4j, Gremlin, Tinkerpop, RDF, GraphX, NetworkX, Splunk, Spark
  • Requires: Python >=3.6
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Project description

PyGraphistry is a visual graph analytics library to extract, transform, and load big graphs into Graphistry’s GPU-cloud-accelerated explorer.

PyGraphistry is…

  • Fast & Gorgeous: Cluster, filter, and inspect large amounts of data at interactive speed. We layout graphs with a descendant of the gorgeous ForceAtlas2 layout algorithm introduced in Gephi. Our data explorer connects to Graphistry’s GPU cluster to layout and render hundreds of thousand of nodes+edges in your browser at unparalleled speeds.

  • Notebook Friendly: PyGraphistry plays well with interactive notebooks like IPython/Juypter, Zeppelin, and Databricks: Process, visualize, and drill into with graphs directly within your notebooks.

  • Batteries Included: PyGraphistry works out-of-the-box with popular data science and graph analytics libraries. It is also very easy to use. To create the visualization shown above, download this dataset of Facebook communities from SNAP and load it with your favorite library

Try It Out!

Tutorial and API docs are on https://github.com/graphistry/pygraphistry

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for graphistryAccount from gravatar.com graphistryAccount

Unverified details

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Project links
Meta
  • License: BSD License (BSD)
  • Author: The Graphistry Team
  • Tags Graph, Network, Plot, Visualization, Pandas, Igraph, Jupyter, Notebook, Neo4j, Gremlin, Tinkerpop, RDF, GraphX, NetworkX, Splunk, Spark
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

0.34.17

0.34.16

0.34.15

0.34.14

0.34.13

0.34.12

0.34.11

0.34.10

0.34.9

0.34.8

0.34.7

0.34.6

0.34.5

0.34.4

0.34.3

0.34.2

0.34.1

0.33.9

0.33.8

0.33.7

0.33.6

0.33.5

0.33.4

0.33.3

0.33.2

0.33.1

0.33.0

0.32.0

0.31.1

0.31.0

0.30.0

0.29.7

0.29.6

0.29.5

0.29.4

0.29.3

0.29.2

0.29.1

0.29.0

0.28.7

0.28.6

0.28.5

0.28.3

0.28.2

0.28.1

0.28.0

0.27.3

0.27.2

0.27.1

0.27.0

0.26.1

0.26.0

0.25.3

0.25.2

0.25.1

0.25.0

0.24.1

0.24.0

0.23.3

0.23.2

0.23.1

0.23.0

0.22.0

0.21.4

0.21.3

0.21.2

0.20.6

0.20.5

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.6

0.19.5

0.19.4

0.19.3

0.19.2

0.19.1

0.19.0

0.18.2

0.18.1

0.18.0

0.17.2

This version

0.16.3

0.16.2

0.16.1

0.16.0

0.15.0

0.14.1

0.14.0

0.13.0

0.12.0

0.11.8

0.11.7

0.11.6

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

0.11.0

0.10.6

0.10.5

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.69

0.9.68

0.9.67

0.9.65

0.9.64

0.9.63

0.9.63a0 pre-release

0.9.62

0.9.61

0.9.59

0.9.58

0.9.56

0.9.55

0.9.54

0.9.53

0.9.51

0.9.50

0.9.47

0.9.43

0.9.42

0.9.41

0.9.40

0.9.38

0.9.37

0.9.34

0.9.33

0.9.32

0.9.31

0.9.30

0.9.29

0.9.28

0.9.27

0.9.26

0.9.25

0.9.24

0.9.23

0.9.22

0.9.21

0.9.19

0.9.18

0.9.17

0.9.16

0.9.15

0.9.14

0.9.13

0.9.12

0.9.11

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.0.24

0.0.23

0.0.22

0.0.21

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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