PyxGT: Explore your data with Deep Analytics

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PyPi

GitHub

Rocketgraph xGT is the fastest Deep Analytics Platform on the market and perfect for your mission-critical applications. With performance speeds 100's of times that of current market options, you can now empower your data scientist with the best development environment to meet your needs.

Getting Started

Two pieces: a Rocketgraph server, and the Python client you talk to it with.

Install Rocketgraph

The Rocketgraph installer covers Windows, macOS and Linux. It brings its own dependencies, including Docker, starts the containers and opens Mission Control in your browser when it finishes.

On Linux or macOS that is one command:

$ curl -sSL https://install.rocketgraph.com/install.sh | sh

Windows and macOS also have graphical installers, listed in that repository.

Install the client

The client runs from any Python 3.10 to 3.14 environment, including Jupyter Notebook and Jupyter Lab:

$ pip install --upgrade grpcio jupyter pandas protobuf xgt

If you need a Python first, anaconda brings one along with Jupyter. Otherwise brew install python3 on macOS, sudo apt install python3 python3-dev python3-pip python3-venv on debian-based systems, or sudo yum install python3 python3-devel python3-pip where yum is the package manager.

On a system that manages its own Python packages, pip may refuse to install into it. A virtual environment is the usual answer:

$ python3 -m venv xgt-env
$ source xgt-env/bin/activate
$ pip install --upgrade grpcio jupyter pandas protobuf xgt

Demos

There are several demo notebooks available within this repo.

Other ways to run a server

The installer above is the shortest path. These remain for the cases it does not cover.

On AWS

1. Running xGT on your own AWS instances from the AWS Marketplace.
   • This process requires subscribing to the Rocketgraph xGT product.
   • All AWS instances with 8 vCPUs or fewer are free for the software; AWS charges for the hardware may apply.
   • See Instructions for launching on the AWS Marketplace.

On your own systems

1. A docker daemon running on your platform (on-premises).
   • Any x86 system running docker can be used.
   • Perform the equivalent of docker pull rocketgraph/xgt.
   • More information is available at rocketgraph/xgt.
2. A docker daemon (docker desktop) running on your laptop.
   • The docker desktop hosting environment can run on:
     • Windows (with WSL2 enabled)
     • Mac Intel Chips
     • Native Linux