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-0.16.2.tar.gz (71.6 kB view details)

Uploaded Source

File details

Details for the file graphistry-0.16.2.tar.gz.

File metadata

  • Download URL: graphistry-0.16.2.tar.gz
  • Upload date:
  • Size: 71.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.7

File hashes

Hashes for graphistry-0.16.2.tar.gz
Algorithm Hash digest
SHA256 6039303ba3137a41f9dfc6ba2e8be3bc289482d9319eddaf8f3da5ac078a04bf
MD5 98cf8a26adbe746af43af95990942b78
BLAKE2b-256 74ff20c8da539c4513cadc9f344ff1102695f097761db04304a4c70504c486e7

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