Skip to main content

The slick way to process SWC files.

Project description

swick Logo

swick is the slick way to process SWC files—which contain tree-like representations of neuron structures—in Python.

Reading, writing, combining, splitting, and validating SWC files can be done in just a few lines. Objects to represent SWC files are also provided, laying the groundwork for custom analysis or modification of SWCs in Python.

Installation

To install swick via pip, simply:

pip install swick

Or to upgrade an existing installation:

pip install swick --upgrade

Python wheels can also be manually downloaded via the PyPI page.

Usage & Documentation

Documentation is automatically built via a Github Actions workflow and hosted on Github Pages. Reading it is the best way to get started with swick. For any questions not addressed there, please feel free to open an issue!

Here are some links to relevant documentation:

Testing

Tests can be run via this command from the root directory of the repository:

python -m unittest discover

In the near future, tests will be automated via Github Actions in order to evaluate pull requests as well as the current head of the main branch.

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

swick-0.28.tar.gz (8.5 kB view hashes)

Uploaded Source

Supported by

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