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This repository has been archived by the owner on Sep 20, 2024. It is now read-only.
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Pype

Introduction

Multi-platform open-source pipeline built around the Avalon platform, expanding it with extra features and integrations. Pype connects asset database, project management and time tracking into a single modular system. It has tight integration with ftrack, but it can also run independently.

To get all the key information about the project, go to PYPE.club

Hardware requirements

Pype should be installed centrally on a fast network storage with at least read access right for all workstations and users in the Studio. Full Deplyoyment with all dependencies and both Development and Production branches installed takes about 1GB of data, however to ensure smooth updates and general working comfort, we recommend allocating at least at least 4GB of storage dedicated to PYPE deployment.

For well functioning ftrack event server, we recommend a linux virtual server with Ubuntu or CentosOS. CPU and RAM allocation need differ based on the studio size, but a 2GB of RAM, with a dual core CPU and around 4GB of storage should suffice.

Building Pype

Pype is build using CX_Freeze to freeze itself and all dependencies. You will need Python 3.7+ and cx_Freeze installed.

pip install cx_Freeze --upgrade