PythonicDISORT

About

PythonicDISORT is ranked #6 of 91 in physics simulation software on Inferse. It runs on API, Linux, macOS, Windows.

Compared on physics simulation software

3D visuals

Nopythonic-disort.readthedocs.io

Facts

Purpose

PythonicDISORT solves the one-dimensional radiative transfer equation for single- or multi-layer plane-parallel atmospheres.github.com · 5 Oct 2026

Implementation

The project describes itself as coded entirely in Python 3 and based on Stamnes’ FORTRAN DISORT.github.com · 5 Oct 2026

Outputs

Its solver computes fluxes and can optionally compute intensity.pythonic-disort.readthedocs.io · 5 Oct 2026

Radiative transfer features

The documented solver supports optional delta-M scaling and Nakajima-Tanaka intensity corrections.pythonic-disort.readthedocs.io · 5 Oct 2026

Boundary conditions

Optional inputs include bidirectional reflectance Fourier modes, boundary sources, and isotropic internal sources.pythonic-disort.readthedocs.io · 5 Oct 2026

Differentiation

When autograd is installed and compatibility is enabled, it can compute tau derivatives of output functions, with slightly lower efficiency.pythonic-disort.readthedocs.io · 5 Oct 2026

Installation

The package can be installed from PyPI or Conda-Forge, or by cloning its repository.github.com · 5 Oct 2026

Dependencies

The listed runtime requirements are Python 3.8 or later, NumPy 1.8.0 or later, and SciPy 1.8.0 or later.pypi.org · 5 Oct 2026

Optional integrations

Autograd is optional for derivatives; Jupyter, Notebook, and Matplotlib are listed as optional requirements for the comprehensive notebook.pypi.org · 5 Oct 2026

Platform compatibility

The project says it should be system agnostic given its minimal dependencies and pure Python code, and that the repository was built and tested on Windows 11.pypi.org · 5 Oct 2026

Notable limit

Only the first NFourier bidirectional reflectance Fourier modes are used; additional modes are ignored.pythonic-disort.readthedocs.io · 5 Oct 2026

License

The GitHub repository lists an MIT license.github.com · 5 Oct 2026

Documentation and audience

The documentation recommends that new users read the non-optional parts of sections 1 and 2, which cover parameter choices and modules and outputs.pythonic-disort.readthedocs.io · 5 Oct 2026

Where it ranks on Inferse

• Best Physics Simulation Software in 2026#6 of 91

Sources

• github.com/LDEO-CREW/Pythonic-DISORT· checked 5 Oct 2026
• pythonic-disort.readthedocs.io/en/latest/source/PythonicDISORT.html· checked 5 Oct 2026
• pythonic-disort.readthedocs.io/en/latest/Pythonic-DISORT.html· checked 5 Oct 2026
• pythonic-disort.readthedocs.io/en/latest/· checked 5 Oct 2026
• pypi.org/project/PythonicDISORT/· checked 5 Oct 2026