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pyiron Β· GitHub

pyiron

Complex Workflows made easy

pyiron - Complex Workflows made easy

From rapid prototyping to high-performance computing in material science

Website 🌐 Documentation πŸ“š Workshops πŸ§‘β€πŸ« Questions πŸ’¬ Publications πŸ“
pyiron.org pyiron.readthedocs.io workshop.pyiron.org pyiron/FAQs Using pyiron

This project is supported by German and European digitalization initiatives in the field of materials science:

Material Digital NFDI Matwerk MaterialsCommons

The pyiron developers closely collaborate with workflow standardization initiatives and the Python scientific computing community to establish Python functions as workflow nodes:

Python Workflow Definition Workflows.community NumFocus

Stable pyiron Version πŸ”οΈ

The stable pyiron version is developed based on the generic job object class to handle the execution and storage of atomistic calculations and their post-processing.

Repository Description Coverage Documentation Conda Package
pyiron A meta package which seamlessly loads all installed pyiron plugins. Still it is recommended to install pyiron_atomistics directly rather than pyiron. πŸ“š πŸ“¦
pyiron_atomistics An interface to atomistic simulation codes including but not limited to GPAW, LAMMPS, S/Phi/nX and VASP. It is compatible to the atomistic simulation environment and extends its functionality. πŸ“š πŸ“¦
pyiron_base A package containing the core components e.g. the job management, data storage and resource management. With the @job decorator every Python function can be converted into a pyiron job object. πŸ“š πŸ“¦
pyiron_potentialfit Fit machine learning interatomic potentials using pyiron. πŸ“¦

Next Generation pyiron πŸš€

Based on the experience with the stable pyiron version and the success of the standalone packages, the pyiron framework continues to innovate in the field of workflows for materials science.

Repository Description Coverage Documentation Conda Package
pyiron_core pyiron_core is a workflow management system for Python that leverages a graph-based system -- including a visual scripting GUI -- to develop and execute workflows. πŸ“š
pyiron_workflow Graph-and-node based workflows πŸ“š πŸ“¦
pyironFlow React xyflow based visual programming interface for pyiron_workflow πŸ“š πŸ“¦

Standalone Packages 🚚

To increase the maintainability of the pyiron project, there is a continuous release of spin-off packages which are used inside pyiron, but which can also be used as stand-alone packages:

Repository Description Coverage Documentation Conda Package
atomistics Interfaces for atomistic simulation codes and workflows πŸ“š πŸ“¦
bagofholding Pickle-like storage for python objects with browsing, version control, and partial loading . πŸ“š πŸ“¦
conda_subprocess Run a subprocess or python function in a separate conda environment. πŸ“š πŸ“¦
executorlib Up-scale python functions for high-performance computing (HPC) πŸ“š πŸ“¦
flowrep Your premier tool for workflow recipes. πŸ“š πŸ“¦
lammpsparser Parser for LAMMPS input and output files. πŸ“š πŸ“¦
pothenon Find dependency of python functions
pyfileindex Pythonic file system index πŸ“š πŸ“¦
pyiron_snippets Short, dependency-free pieces of code that are useful for pyiron (and python in general) πŸ“š πŸ“¦
pylammpsmpi Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook. πŸ“š πŸ“¦
pysqa Simple HPC queuing system adapter for Python on based jinja templates to automate the submission script creation. πŸ“š πŸ“¦
semantikon Provide type hinting and interpreters for scientific context on node inputs and outputs. πŸ“¦
sphinx_parser Parser for the S/PHI/nX DFT simulation code. πŸ“¦
structuretoolkit Build, analyse and visualise atomistic structures for materials science. πŸ“š πŸ“¦
vaspparser Parser for the Vienna Ab initio Simulation Package (VASP). πŸ“š πŸ“¦

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