Skip to main content

Cell tracking data model

Project description

Funtracks

A data model for cell tracking with actions, undo history, persistence, and more!

tests codecov

The full documentation can be found here.


Installation

pip install funtracks (soon)

Alternatively, you can use pixi to install and run funtracks code. For example, to run the tests, you can call pixi run test to run our pre-configured pixi task in the testing environment.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Updating documentation

We are using mkdocs-material and mike to get versioned documentation. Mike will push changes to the gh-pages branch, which we can serve from the Github Pages settings. This should happen automatically from the github action upon push to 'main' (with alias 'dev') and newly tagged version (with alias 'latest'), but we are documenting it here in case we need to do it manually at some point.

To publish a commit to the gh-pages branch manually:

pixi run -e docs mike deploy <version> <alias>

To preview pushed chnages locally:

pixi run -e docs mike serve

Remember not to push your local gh-pages branch on accident after previewing changes. To reset your local branch to the remote gh-pages, you can run:

git fetch
git checkout gh-pages
git reset --hard origin/gh-pages

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

funtracks-1.3.0.tar.gz (46.1 kB view details)

Uploaded Source

Built Distribution

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

funtracks-1.3.0-py3-none-any.whl (38.6 kB view details)

Uploaded Python 3

File details

Details for the file funtracks-1.3.0.tar.gz.

File metadata

  • Download URL: funtracks-1.3.0.tar.gz
  • Upload date:
  • Size: 46.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for funtracks-1.3.0.tar.gz
Algorithm Hash digest
SHA256 cfa12194ffde089e28245e50d9538762947eea2753d3feefd581aa44cd33cb61
MD5 9c4562783bad7ca6b4156b52834345e6
BLAKE2b-256 0a4b7cdf6a2132ef7ce5e528645ee454fe67b17973c22da1ab03a57511d10ca2

See more details on using hashes here.

File details

Details for the file funtracks-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: funtracks-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 38.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for funtracks-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ca1bcd33c880700c40a372a24289cb9401fa72314ee089740e7c343da7e19b38
MD5 aa4d9adeca5c354ea6f42b5dd959170a
BLAKE2b-256 fc5a7ae1b4c2e154e3fe6121014b3bc808078a2b3ba6f1a844cb2bc5fc514405

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