The Tech Approach

Take the keys of your PLM

You are just a few steps from testing the fastest PLM framework. The only PLM solution built for using the full power of graph databases.

Team

1. Install prerequisites

NodeJs

As an asynchronous event-driven JavaScript runtime, Node.js is designed to build scalable network applications. In the following "hello world" example, many connections can be handled concurrently. Upon each connection, the callback is fired, but if there is no work to be done, Node.js will sleep.
More info on: https://nodejs.org/en/about/

Download and Install NodeJs

Get it from https://nodejs.org/en/download/

Neo4j

Neo4j is a highly scalable native graph database, purpose-built to leverage not only data but also data relationships.
Using Neo4j, developers build intelligent applications that traverse today's large, interconnected datasets in real time. Powered by a native graph storage and processing engine, Neo4j delivers an intuitive, flexible and secure database for unique, actionable insights.

Download and Install Neo4j

Download Neo4J Desktop here : https://neo4j.com/download/

2. Install Ganister

Get the Ganister Installer

Run the following command to install our CLI Installer (just for your first install on this computer) (internet connection is required)

Link to the Ganister-Install package on NPM

Install the Ganister Application

Once the installer is installed you can start the application installation process.

Navigate to the folder where you want to install ganister Start the installation process using the following command From the command line, still in the same location run the following command to install dependencies (an internet connection is required.)
Before you run Ganister for the first time, you must add the database credentials and optionally setup more configuration options.
To do this, open the .env file in the install folder, and update at least the following options:

3. Run Ganister

Once the .env file is configured you can run the application.
  • Initialize your database
  • Launch the server with the following command

4. Start using Ganister

With your favorite web browser, navigate to the following URL: http://localhost:8008
screenshot-loginPageGanister
Your credential are:
screenshot-welcomePageGanister