Skip to main content

connattractor

GitHub license GitHub release Docker Image Version (latest semver) Docker Image Size (latest semver) Binder

Laboratory for Predictive Neuroimaging - University Hospital Essen, Germany

Webpage with manuscript and getting started guide

pni-lab.github.io/connattractor

How to install the connattractor package?

The package 'connattractor' will be soon available on PyPI.

Afterwards the preferred way to install it will be:

pip install connattractor

For now, the easiest way to try out the package is using docker, see below:

How to re-run the analyses?

  • Run the analyses with 1 click (in the cloud)

    • Binder
    • Open in GitHub Codespaces (click code on top right on the github page of the repo)
  • Set up everything to run in 5 mins (locally on your computer)

    • install docker
    • clone the repo and start your notebook in a docker container
      git clone https://github.com/pni-lab/connattractor.git
      cd connattractor
      docker run -it -v $PWD:/mounted/connattractor -p 8080:8080 -p 8888:8888 pnilab/connattractor:latest jupyter notebook
      
    • copy paste the last link in your browser to start the notebook
  • Bare-metal (developers)

  • clone this repository with git as above

  • set up a python environment (e.g with conda)

  • install all requirements from requirements.txt

  • start developing

How to render the web-page locally?

cd docs
myst start

Release files for connattractor 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for connattractor 0.1.0
File Size Uploaded
connattractor-0.1.0.tar.gz 23.9 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for connattractor 0.1.0
File Interpreter ABI Platform
connattractor-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 47.9 MB

Release files / connattractor-0.1.0.tar.gz

Download URL connattractor-0.1.0.tar.gz
Size 23.9 MB
Tags Source
SHA-256 checksum
How to use checksums
3e607c961dcc26c57ac66ea7890972a3b3d82289d59beed725498b8eb410ebda
BLAKE2b-256 checksum
How to use checksums
27aa7323d16cb2e02af66f1e55926d97a0b6904f9d56354f63e6d144f9525c16
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.6

Release files / connattractor-0.1.0-py3-none-any.whl

Download URL connattractor-0.1.0-py3-none-any.whl
Size 24.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
01172a7dfd28bfe18590c96d422cda08b1a9574a8364a911e41e12977f4440b1
BLAKE2b-256 checksum
How to use checksums
2d6399851b1dce1280cf9af916b44ed62382ef14719d2c2907692d171a3cbe6f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.6

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page