orca_parser

A python module to parse data out of ORCA output files

This module is availible at: https://pypi.org/project/orca-parser/ and can be installed via

pip install orca-parser

The module use as:

import orca_parser
Optimization = orca_parser.ORCAParse("Test-cases/Phenol/Opt.out")

print("ORCA exited normally:", Optimization.valid)
print("Job took:", Optimization.seconds(), "seconds")
print("Job input line:", Optimization.parse_input())

Optimization.parse_coords()
print("Atoms:", Optimization.atoms)
print("Final coordinates:")
print(Optimization.coords[-1])

Requirements:

ase, numpy, pandas

Orca parser contains different classes for different types of QM output:

ORCAParse (Orca 5+)

Reads orca output streams (.out/.log/.hess) Can read frequencies, atoms, coordinates, IR spectra, free energy (broken down into its components as well) Can also tell you how the job finished, if it converged etc

Reads:

• Energies & Free Energies
• Forces
• Coordinates
• Spectra
• Dipoles
• etc

HessianTools

Reads orca Hessian (.hess) outputs Can parse the atoms and coordinates, normal modes, IR spectra. From this .xyz trajectories of normal modes can be written

GaussianParse (Gaussian 16)

Reads Gaussian output streams (.out, .log etc)

Reads:

• Energies & Free Energies
• Forces
• Coordinates

ams_parse (Amsterdam Modeling Suite)

Reads:

• Energies
• Coordinates

NWChem (NWChem 7+)

Introduced the .parse() function for this one so you dont have to do .parse_coords() .parse_energies() etc

Reads:

• Energies
• Coordinates

Usage:

Example usage can be found in Usage.py, along with example ORCA output files in the "Test-cases" folder.

                                                                               
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