Skip to main content

molcrafts-molrs

PyPI

Python bindings for the molrs molecular modeling toolkit.

Install with pip install molcrafts-molrs and import molrs. Full docs: https://docs.molcrafts.org/molrs/.

Install

pip install molcrafts-molrs

Requires Python 3.12+.

Quick start

import molrs

# SMILES → atomistic graph (class API under molrs.io)
mol = molrs.io.smiles.read_smiles("CCO").to_atomistic()

# 3D coordinates
from molrs.conformer import Conformer

mol, report = Conformer().generate(mol)

# Force field: typify → pairs → potentials
from molrs.ff.typifier import Mmff94Typifier
from molrs.ff.potential import intramolecular_pairs
from molrs.ff.compile import PotentialCompiler

typifier = Mmff94Typifier()
typed = typifier.typify(mol)
frame = typed.to_frame()
ff = typifier.forcefield()  # a copy of exactly the types typify assigned
frame["pairs"] = intramolecular_pairs(frame, ff)
pots = PotentialCompiler(ff).compile(frame)
energy, forces = pots.evaluate(frame)
assert forces.shape == (frame["atoms"].n_rows, 3)

Package layout

The top level is the subsystems, plus the core data classes a user handles directly (molrs.Frame is molrs.core.Frame: Frame, Block, Trajectory, Box, MolGraph, Atomistic, CoarseGrain, the entity classes, Element, Topology). Everything else has one path, named after its Rust owner.

Import Owns
molrs.core Frame, Block, Trajectory, frame metadata; Box and its Cell, neighbour search, regions, TriMesh, Trace; MolGraph, Atomistic, CoarseGrain and their live views, Element, Topology; Unit, Quantity, UnitPreset, UnitRegistry
molrs.core.keys / .schema / .constants the column vocabulary, its specifications, and every physical and engine constant
molrs.io Every file reader and writer: one door per format and direction, read_<fmt>(source) / write_<fmt>(sink, frame) (a source is a pathlib.Path, bytes or molrs.io.Text; a sink a pathlib.Path or a bytearray); each format's classes in its own submodule — the multi-frame <Fmt>Reader / <Fmt>Writer of io.pdb, io.xyz, io.gro, io.mol2, io.cif, io.sdf, io.dcd, io.trr, io.xtc, io.lammps, and the force-field reader / writer classes of io.lammps, io.gromacs, io.amber, io.openmm_xml; io.smiles, io.cgsmiles, io.mrec
molrs.io.mrec *.mrec store pieces: MrecFile (per-section reads), streaming SequenceSchema, MrecWriter, MrecReader, ForceFieldSection, pack_mrec_zip, validation (a whole record is written by molrs.io.write_mrec)
molrs.ff.* forcefield, potential, typifier, charge, ir, params, clpol_scaling
molrs.optimize Lbfgs, OptimizationReport
molrs.md Integrators and the MD driver
molrs.compute One class per molrs::compute type, under its core name (flat): RDF, MSD, correlations, fits, spectra, order, clusters, …
molrs.conformer 3D generation
molrs.perceive Rings, aromaticity, SMARTS, reactions
molrs.builder Structure builders, site-graph assembly, Coarsener

An analysis is configured when it is built and given its data when it computes: Steinhardt(l=[6]) then .compute(...). The constructor takes configuration only, every optional setting is None unless given (all defaults live in the core; Msd.spec() lists them), and compute takes the data as keyword arguments named after the core input's fields. Msd, Vacf and Rdf are streams, as in the core: acc = Msd(max_lag).accumulator(), acc.push(positions, dt=...) per frame, then acc.finish(). A result is a read-only object that the next compute accepts as is — LinearFit(0.2, 0.8).compute(correlation=msd_result, channel=0).

Kernels take dt in the time unit of your trajectory, and time-valued results come back in that unit. MSD needs unwrapped coordinates (Unwrap produces them). VACF is the unbiased (C(\tau)) used for Green–Kubo D and VDOS.

Development

maturin develop --release
pytest -q

Metadata

Release files for molcrafts-molrs 0.19.0

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

Built distributions (wheels)

Table of built distributions (wheels) for molcrafts-molrs 0.19.0
File
molcrafts_molrs-0.19.0-cp312-abi3-win_amd64.whl CPython 3.12 abi3 Windows x86-64 Details
molcrafts_molrs-0.19.0-cp312-abi3-pyemscripten_2026_0_wasm32.whl CPython 3.12 abi3 PyEmscripten 2026.0+ WebAssembly Details
molcrafts_molrs-0.19.0-cp312-abi3-manylinux_2_28_aarch64.whl CPython 3.12 abi3 Linux glibc 2.28+ ARM64 Details
molcrafts_molrs-0.19.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 abi3 Linux glibc 2.17+ x86-64 Details
molcrafts_molrs-0.19.0-cp312-abi3-macosx_11_0_arm64.whl CPython 3.12 abi3 macOS 11.0+ ARM64 Details
molcrafts_molrs-0.19.0-cp312-abi3-macosx_10_12_x86_64.whl CPython 3.12 abi3 macOS 10.12+ x86-64 Details

Total release size: 56.4 MB

Release files / molcrafts_molrs-0.19.0-cp312-abi3-win_amd64.whl

Download URL molcrafts_molrs-0.19.0-cp312-abi3-win_amd64.whl
Size 11.3 MB
Tags CPython 3.12 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
fa2bf11fd0881ea95642dfde52ed87b64b909378e004ae1fd320fffcc5dbd6f3
BLAKE2b-256 checksum
How to use checksums
0914ce900e59ed0eb14bc073e995ca4e3a90a98dd8e7f0e625bb8b968d3c6079
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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 Oct 21, 2026.

Transparency log

Release files / molcrafts_molrs-0.19.0-cp312-abi3-pyemscripten_2026_0_wasm32.whl

Download URL molcrafts_molrs-0.19.0-cp312-abi3-pyemscripten_2026_0_wasm32.whl
Size 4.3 MB
Tags CPython 3.12 PyEmscripten 2026.0+ WebAssembly abi3
SHA-256 checksum
How to use checksums
8a513705ff5ad1fce70a38c8784f264cae34f816c562305f49493ea5719f4148
BLAKE2b-256 checksum
How to use checksums
2b025f104ca1349e4b43a6ecb84897928b26b248d186df119b0c536158e9b7cd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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 Oct 21, 2026.

Transparency log

Release files / molcrafts_molrs-0.19.0-cp312-abi3-manylinux_2_28_aarch64.whl

Download URL molcrafts_molrs-0.19.0-cp312-abi3-manylinux_2_28_aarch64.whl
Size 10.0 MB
Tags CPython 3.12 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
5a432922a9f132209f0e4cf03d02175fa9442368fc16c7acae387ffc58fd98a0
BLAKE2b-256 checksum
How to use checksums
9ccc08649a3dcf71a57dc6d9e3526a9ca73852406b6e6dd28fe5048dee1c3e1b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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 Oct 21, 2026.

Transparency log

Release files / molcrafts_molrs-0.19.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL molcrafts_molrs-0.19.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 10.9 MB
Tags CPython 3.12 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
c75a4ef041722d62055e84b727481d9510215255e48dcf44eed55b17f7d16b1d
BLAKE2b-256 checksum
How to use checksums
70f00acacc8f2b1f575965526baa3e14a4f43943bb3fe6d2cb0d6e9a9993037a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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 Oct 21, 2026.

Transparency log

Release files / molcrafts_molrs-0.19.0-cp312-abi3-macosx_11_0_arm64.whl

Download URL molcrafts_molrs-0.19.0-cp312-abi3-macosx_11_0_arm64.whl
Size 9.6 MB
Tags CPython 3.12 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
366990c3b6aa79e02bfd2a2f468287fdff43bc9b00f648131767eb2ab2d69e6d
BLAKE2b-256 checksum
How to use checksums
0fe25ce392174df96d3b7b3b245df0537ab2cee73674c61d3a546cbc57e25ffc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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 Oct 21, 2026.

Transparency log

Release files / molcrafts_molrs-0.19.0-cp312-abi3-macosx_10_12_x86_64.whl

Download URL molcrafts_molrs-0.19.0-cp312-abi3-macosx_10_12_x86_64.whl
Size 10.5 MB
Tags CPython 3.12 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
fea202aefa7a0298c37cf4b2f1de0f80e5b364ef8f1143c78cc43f701bd42d34
BLAKE2b-256 checksum
How to use checksums
72dc1ed6f01790bd4a172e96226d2b54091bcee1f7b6d10b12c49fd6017b5391
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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 Oct 21, 2026.

Transparency log

Security for molcrafts-molrs 0.19.0

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.

Full provenance

All 6 files in this release have been uploaded with provenance metadata.

Select from 6 files

Attestation for molcrafts_molrs-0.19.0-cp312-abi3-win_amd64.whl

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 Oct 21, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.19.0 This release

6 release files Full provenance

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