RM-lite
A mini fork of RM-Tools - RM-synthesis and RM-clean on polarised radio spectra, for both 1D spectra and 3D cubes (the latter via dask).
This just exposes a Python API. No plotting, I/O utilities, or CLI are provided. See the main fork of RM-Tools for that functionality.
The goal of this project is to provide low code surface area with high reliability, performance, and developer ergonomics.
Warning: This is very much a work-in-progress. Do not expect stability for a while.
Installation
PyPI release:
pip install rm-lite
Current GitHub main commit:
pip install git+https://github.com/AlecThomson/rm-lite.git
Usage
Docs: rm-lite.readthedocs.io
This is a library, by design - no CLI is provided. Import the API and call it from your own Python code; see the docs for usage examples.
Citing
If you use this package in a publication, please cite main fork's ASCL entry for the time being.
License
MIT
Contributing
Contributions are welcome. Questions, bug reports, and feature requests can be posted to the GitHub issues page.
The development dependencies can be installed via pip from PyPI:
pip install "rm-lite[dev]"
or for a local clone:
cd rm-lite
pip install ".[dev]"
Code formatting and style is handled by ruff, with tests run by pytest. A
prek hook is available to handle the autoformatting. After installing the
dev dependencies, you can install the hooks by running:
cd rm-lite
prek install
Release files for rm-lite 2026.9.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rm_lite-2026.9.13.tar.gz | 423.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rm_lite-2026.9.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 555.2 kB
Release files / rm_lite-2026.9.13.tar.gz
| Download URL | rm_lite-2026.9.13.tar.gz |
|---|---|
| Size | 423.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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