Skip to main content

Package for maintaining robust, reproducible data management.

Project description

rushd

Stable documentation PyPI-downloads PyPI-version PyPI-license Supported python versions codecov

A package for maintaining robust, reproducible data management.

Rationale

Science relies on repeatable results. rushd is a Python package that helps with this, both by making sure that the execution context (e.g. the state of all of the Pip packages) is saved, alongside helper functions that help you cleanly, but repeatedly, separate data from code.

Install

This package is on Pip, so you can just:

pip install rushd

Alternatively, you can get built wheels from the Releases tab on Github.

Quickstart

Simply import rushd!

import rushd as rd

Documentation

See the documentation available at https://gallowaylabmit.github.io/rushd

Developer install and contributing

If you'd like to hack locally on rushd, after cloning this repository:

$ git clone https://github.com/GallowayLabMIT/rushd.git
$ cd rushd

you can create a local virtual environment, and install rushd in "development (editable) mode" with the extra requirements for tests.

$ python -m venv env
$ .\env\Scripts\activate    (on Windows)
$ source env/bin/activate   (on Mac/Linux)
$ pip install -e .[dev]     (on most shells)
$ pip install -e '.[dev]'   (on zsh)

After this 'local install', you can use and import rushd freely without having to re-install after each update.

Pre-commit

We use something called pre-commit to automatically run linters, formatters, and other checks to make sure the code stays high quality.

After doing the developer install and activating the virtual environment, you should run:

$ pre-commit install

to install the git hooks. Now, pre-commit will automatically run whenever you go to commit.

Testing with pytest

We use pytest to test our code. You just type:

$ pytest

to run all tests, though you can add an optional argument to run some subset of the tests:

$ pytest tests/test_file_io.py

Pytest automatically discovers tests put in the tests directory, whose files and functions start with the word test.

Code coverage

On every push, all of the tests are run and the coverage, or which lines are "covered" or executed during all tests, is calculated and uploaded to Codecov. This is a nice way of seeing if you missed any edge cases that need tests added.

Publishing a release

Following the steps described above, the full process for publishing a release is:

  1. Test

    • Write new tests as needed
    • Run tests to confirm changes pass
  2. Pre-commit

    • Stage changes in git
    • Run pre-commit (requires developer mode)
    • Resolve any errors/warnings from pre-commit (e.g., run ruff --fix)
    • Stage any new fixes and re-run pre-commit
  3. Commit changes

    • Commit and sync changes
    • Confirm project builds on github with no errors (see 'Actions' tab)
    • Confirm adequate coverage via codecov (click link on github)
  4. Document changes

    • Edit CHANGELOG.md and README.md to reflect changes, then commit
    • Edit the version in setup.py
    • Tag the release using git tag -a vX.X.X (updating Xs) with a short changelog summary as the tag message
    • Push changes git push --tags
  5. Build the release

    • Build using python -m build
    • Add a release to the github page by copy-pasting the changelog
    • Add the .whl and .tar.gz files (from the dist folder, delete old versions) to the github release
    • Upload the package to PyPI using twine upload dist/*. Note that this requires a PyPI API token from a project collaborator, one of which is the Galloway Lab account (see password database for login).

Changelog

See the CHANGELOG for detailed changes.

## [0.6.1] - 2026-02-13
### Modified
- Collected new modules for export. Now `qpcr` and `ddpcr` modules can be used.

License

This is licensed by the MIT license. Use freely!

What does the name mean?

The name is a reference to Ibn Rushd, a Muslim scholar born in Córdoba who was responsible for translating and adding scholastic commentary to ancient Greek works, especially Aristotle. His translations spurred further translations into Latin and Hebrew, reigniting interest in ancient Greek works for the first time since the fall of the Roman empire.

His name is pronounced rush-id.

If we take the first and last letter, we also get rd: repeatable data!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rushd-0.6.1.tar.gz (37.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rushd-0.6.1-py3-none-any.whl (25.9 kB view details)

Uploaded Python 3

File details

Details for the file rushd-0.6.1.tar.gz.

File metadata

  • Download URL: rushd-0.6.1.tar.gz
  • Upload date:
  • Size: 37.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for rushd-0.6.1.tar.gz
Algorithm Hash digest
SHA256 817401d1fdc47883f58a04928412d5130a192df3016cc29f8bb29f2783d1ac4e
MD5 cf76521ab6de71c38b2ea379ac46e45c
BLAKE2b-256 b3dd1102dd83bf52d5d29a5c0f5ffe239325aaf3e5e19258b6e0a458c6ca152e

See more details on using hashes here.

File details

Details for the file rushd-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: rushd-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 25.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for rushd-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8ec3207f1a34c739fc109dd159d04a8b38f2a882b983326c6df17731781267ab
MD5 5e38f394a8ebdb69be5aa7191eb3fc78
BLAKE2b-256 5439001bec826da06cee39971856034eba69a147506cc69c25d74e331c8b02c3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page