.. d6t-celery-combine documentation master file, created by sphinx-quickstart on Tue Nov 28 11:32:56 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to oryxflow documentation! ============================================== For data scientists and data engineers, oryxflow is a python library which makes it easier to build data workflows. You declare each step of your analysis as a task; oryxflow runs them in the right order, skips anything already computed, reruns exactly what a parameter, data, or **code** change affects, and lets you load any result by name. It also records **what ran, when, and why**, so "is this result stale?", "was it produced by the current code?", and "did I already run this?" are queries, not guesses. The payoff: no wasted recomputation, reproducible outputs you can trust, and pipelines that are easy to share — instead of a fragile chain of scripts and files you manage by hand. Installation ------------------------------------------------------------ Follow github instructions https://github.com/oryxintel/oryxflow#installation Benefits of using oryxflow ------------------------------------------------------------ See `4 Reasons Why Your Machine Learning Code is Probably Bad `_ Quickstart ------------------------------------------------------------ See https://github.com/oryxintel/oryxflow/blob/master/docs/example-ml.md Build with an AI assistant (Claude Code) ------------------------------------------------------------ Prefer to have an AI coding assistant set up your project structure and wire the task dependencies for you? There is an official Claude Code plugin, `oryxflow-claude-plugin `_, that does exactly that. See :doc:`Using oryxflow with Claude Code `. Real-life project template ------------------------------------------------------------ https://github.com/d6t/d6tflow-template Transition to oryxflow from typical scripts ------------------------------------------------------------ [5 Step Guide to Scalable Deep Learning Pipelines with oryxflow](https://htmlpreview.github.io/?https://github.com/d6t/d6t-python/blob/master/blogs/blog-20190813-d6tflow-pytorch.html) Parameter Management ------------------------------------------------------------ Intelligent parameter management is one of the most powerful features of oryxflow. New users often have questions on parameter management, this is an important section to read. User Guide ------------------------------------------------------------ .. toctree:: :maxdepth: 2 quickstart claude-plugin transition tasks workflow run logging targets collaborate managing-workflows advtasksdyn advparam modules functional_tasks changelog API Docs """""""""" * :ref:`modindex` Search """""""""" * :ref:`search`