https://github.com/nxt-dev/nxt

The core of nxt, a python layering and sequential execution tool for Animation and VFX
https://github.com/nxt-dev/nxt

nxt python

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The core of nxt, a python layering and sequential execution tool for Animation and VFX

• Host: GitHub
• URL: https://github.com/nxt-dev/nxt
• Owner: nxt-dev
• License: mit
• Created: 2020-11-16T17:13:31.000Z (about 4 years ago)
• Default Branch: release
• Last Pushed: 2024-12-13T16:43:05.000Z (9 days ago)
• Last Synced: 2024-12-14T11:12:33.317Z (8 days ago)
• Topics: nxt, python
• Language: Python
• Homepage: https://nxt-dev.github.io/
• Size: 5.74 MB
• Stars: 80
• Watchers: 12
• Forks: 14
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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![Release Status](https://github.com/nxt-dev/nxt/actions/workflows/release.yml/badge.svg?branch=release)

![Dev Status](https://github.com/nxt-dev/nxt/actions/workflows/unittests.yml/badge.svg?branch=dev)

# NXT Python Core



**nxt** (**/ɛn·ɛks·ti/**) is a general purpose code compositor designed for rigging, scene assembly, and automation. (node execution tree)  

[Installation/Usage](#installationusage) | [Docs](https://nxt-dev.github.io/) | [Contributing](CONTRIBUTING.md) | [Licensing](LICENSE)

# Installation/Usage

**This repo is the nxt core, it does not come with a UI. If you're looking for the UI, please see [the nxt editor](https://github.com/nxt-dev/nxt_editor).**

This package is designed for headless execution of graphs in a render farm or other headless environment.  

Only clone this repo if you're contributing to the NXT codebase.




#### Requirements

- Python >= [2.7.*](https://www.python.org/download/releases/2.7) <= [3.7.*](https://www.python.org/download/releases/3.7)

- We strongly recommend using a Python [virtual environment](https://docs.python.org/3.7/tutorial/venv.html)

*[Requirements for contributors](CONTRIBUTING.md#python-environment)*  

### NXT Python Core

Our releases are hosted on [PyPi](https://pypi.org/project/nxt-editor/).

**Install:**  

`pip install nxt-core`

**Execute Graph:**  

```python

import nxt

nxt.execute_graph('path/to/graph.nxt')

```

**Update:**  

`pip install -U nxt-core`




## Special Thanks

[Sunrise Productions](https://sunriseproductions.tv/) | [School of Visual Art and Design](https://www.southern.edu/visualartanddesign/)