Skip to main content

Jupyter widget facilitating interactive visualization of spatial single-cell data with Vitessce

Project description

vitessce-python

PyPI docs

Binder Open In Colab

Python API and Jupyter widget facilitating interactive visualization of spatial single-cell data with Vitessce.

Installation

To install with pip:

$ pip install vitessce[all]

Getting started

Explore our example notebooks. These contain demos of different use cases and integrations with single-cell data analysis packages.

Development

For a development installation (requires NodeJS and NPM),

$ git clone https://github.com/vitessce/vitessce-python.git
$ cd vitessce-python
$ conda env create -f environment.yml
$ conda activate vitessce-python-dev
$ pip install -e ".[dev]"

Conda environments

In this repository, there are multiple conda environments for different purposes:

Linting and testing

flake8
pytest

Formatting

One file:

autopep8 --in-place --aggressive ./path/to/file.py

All .py files:

find . -name '*.py' -exec autopep8 --in-place --aggressive '{}' \;

Documentation

make html

Deployment

To deploy a new version, increment the version of the Python package in setup.py.

Then, when you push or merge the code with the incremented versions to main, the GitHub Action deploy.yml workflow will build and push the package to PyPI.

Resources

Getting/Offering Help

If you have a specific bug or feature request, please feel free to open an issue. Otherwise our discussions section is a great place to get help or offer it. If you aren't sure if something is a bug or not, don't have all the reproduction steps, or just have a general question, feel free to open a discussion post.

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

vitessce-3.0.0.tar.gz (26.4 MB view details)

Uploaded Source

Built Distribution

vitessce-3.0.0-py2.py3-none-any.whl (50.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file vitessce-3.0.0.tar.gz.

File metadata

  • Download URL: vitessce-3.0.0.tar.gz
  • Upload date:
  • Size: 26.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for vitessce-3.0.0.tar.gz
Algorithm Hash digest
SHA256 5893ee0ff2b1ade233340e08c116a3460c340babedbb126acaa994c3e173aafe
MD5 e20dc083b1cdd8bbcda7dc6dac4dfdc5
BLAKE2b-256 a8b3b678c79026b1f396efa8f2ba201f31b537f6ea133d54609d0a7ac87c38a7

See more details on using hashes here.

File details

Details for the file vitessce-3.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: vitessce-3.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 50.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for vitessce-3.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 49faff189b123f3475162665e8989492566d24999b244e5ac999cd10038abda2
MD5 8ff99a7b7dc83428c3273e99fd27cda9
BLAKE2b-256 01d0c3034beaae3601f433278453574a40b421ec9ab2b36ab811731a361dfcda

See more details on using hashes here.

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