Skip to main content

PyAR

PyAR is a chemistry-focused structure-search package for aggregation, reaction discovery, solvation growth, and bond scans.

Install

python -m pip install pyar-chem

Quick Start

pyar-cli --help
pyar-cli -a C H -as 1 4 -N 8
pyar-cli react A.xyz B.xyz -N 8 -gmin 100 -gmax 1000 --software xtb
pyar-cli solvate solute.xyz solvent.xyz --software xtb -ss 10 -N 16

Supported Workflows

  • aggregate for clusters, aggregates, and noncovalent complexes
  • react for AFIR-style reaction searches between two reactants
  • solvate for microsolvation, ligand addition, and growth around a core
  • scan-bond for a simple bond-distance probe
  • pyar-reaction-trace for reaction-trace analysis

External Program Requirements

Some workflows rely on external executables such as xTB, ORCA, Gaussian, Psi4, MOPAC, Turbomole, OpenBabel, MLatom, and DFT-D4. The optional extras install Python dependencies only; they do not bundle large model or vendor files into the main pyar-chem wheel. AIMNet2 .jpt models, AIQM1 .pt models, and vendored MLatom binaries must come from the upstream project or another separate model/package source. See docs/external_programs.rst for the official project websites and installation notes.

Documentation

Full documentation: docs/ and https://pyar.readthedocs.io/ Changelog: CHANGELOG.md

Citation

If you use PyAR, cite the paper that matches your chemistry problem. See docs/publications.rst for the current publication map. For general cluster-building use, start with:

  • Nandi et al., Computational and Theoretical Chemistry 1111, 69-81 (2017)
  • Khatun et al., Frontiers in Chemistry 7:644 (2019)

Release files for pyar-chem 1.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyar-chem 1.3.0
File Size Uploaded
pyar_chem-1.3.0.tar.gz 495.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyar-chem 1.3.0
File Interpreter ABI Platform
pyar_chem-1.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 983.2 kB

Release files / pyar_chem-1.3.0.tar.gz

Download URL pyar_chem-1.3.0.tar.gz
Size 495.7 kB
Tags Source
SHA-256 checksum
How to use checksums
7024aeb79998056ba907f6e4160c7e63a80df021dd0591f23ed31da228fb9cf4
BLAKE2b-256 checksum
How to use checksums
96b8bd7d4c5f25ff3969d4ee45578698a6acb8e2fe03e02b3bd7822e7600db62
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 26, 2026.

Transparency log

Release files / pyar_chem-1.3.0-py3-none-any.whl

Download URL pyar_chem-1.3.0-py3-none-any.whl
Size 487.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5fce75b3b1e3e7ad1107fcc3bfae85bb842c80e181a971b059840f08703b8380
BLAKE2b-256 checksum
How to use checksums
e7da889240bdda4956a19d5b328dc3613cd5348368620f254108de79ebb5d282
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 26, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.3.0 This release

2 release files

1.2.0

2 release files

1.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page