Skip to main content

Visualize node-link graphs using Graphistry's cloud

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


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graphistry-0.9.63a0.tar.gz (43.8 kB view details)

Uploaded Source

File details

Details for the file graphistry-0.9.63a0.tar.gz.

File metadata

  • Download URL: graphistry-0.9.63a0.tar.gz
  • Upload date:
  • Size: 43.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.13

File hashes

Hashes for graphistry-0.9.63a0.tar.gz
Algorithm Hash digest
SHA256 eb47c1ac5a5eec8a048595fd94a6a8f5ecb9d4d99dedc9b9a1bcd3ddad42238a
MD5 7c75461d33322ed3aee7ddcc8b1cb3cb
BLAKE2b-256 1663524e993bbdb976e44eb53afca81bcc0c4de69b78a637c71101159088043d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page