Graphistry 2.22: GPU viz with TigerGraph, SQL, and more!

Posted by Graphistry Team on Aug 1, 2019

Version 2.22 makes life better for both new and existing users. We're especially excited about introducing TigerGraph and SQL support, and the continued progress with the 2.0 engine. Read on to learn more about those, and see full release notes at our new release notes page

 

Curious to explore & automate your own CSV or database/API data with GPU visual graph analytics and investigation automation? One-click launch on AWS now! 

LAUNCH IN YOUR AWS 

 

 

 

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1. PyGraphistry Notebooks: Graphistry + TigerGraph = 🚀🚀🚀

 

import graphistry
graphistry.tigergraph(server="...", ...).gsql("...").plot()
 

PyGraphistry (pip install graphistry==0.9.69) makes it easy to use TigerGraph with Python notebooks, Graphistry, and Pandas. Query your saved TigerGraph endpoints and write GSQL in your notebook, get the results back, and visually analyze with Graphistry and Pandas.   Bonus points: Graphistry automatically converts the JSON to Pandas for you. Skip the boilerplate!

Try Graphistry on AWS Marketplace with the demo notebook that's easy to run and edit.

 

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2. PyGraphistry Notebooks: Graphistry + SQL = 💪💪💪

 

explore("SELECT * FROM my_table LIMIT 200000").plot()

Use a SQL DB and want to try visual graph analytics? Graphistry now ships with a SQL driver preinstalled, and an interactive notebook walks through the quick steps for automatically turning your favorite SQL queries into explorable visual graph analytics sessions.

You can quickly try for yourself on AWS Marketplace. We created a notebook that works out of the box and is easy to change the database to connect to.

 

sql

 

 

3. More 2.0 stability and goodness

We've been cranking away on 2.0, and if you see anything, let us know: each release keeps getting better and better!

  • Analysis:
    • More quickstart links on the dashboard... including one mega feature surprise for cloud users !
  • Administration:
    • Visual guide to create initial users
    • Backup and migrate your users via folder "/.postgres"
    • A copy of the admin docs are included for offline use at "/docs/*"
  • Stability
    • Dates with timezones now work
    • Temporarily disabled workbook saving; investigation & template saving are still enabled

 

Read the release notes for further details.

 

Curious to explore & automate your own CSV or database/API data with GPU visual graph analytics and investigation automation? One-click launch on AWS now! 

LAUNCH IN YOUR AWS 

 

 

Topics: TigerGraph, SQL, Jupyter, Release