Skip to main content

Reproducible repository skeleton

Project description

nbrr: Jupyter Notebook Reproducible Repositories

Continuous Integration Tests

Platform Status
Linux Travis
Windows AppVeyor

You create the notebooks, nbrr will do the rest!

  • environment.yml file for conda:
nbrr env --notebooks_path . --channel conda-forge --name MyEnv > environment.yml
  • Travis-CI and AppVeyor configurations:
nbrr travis --notebooks_path . > .travis.yml
nbrr appveyor --notebooks_path . > .appveyor.yml
  • README.md with a binder link for your GitHub repository:
nbrr readme "My Awesome Notebook Collection" --repository . > README.md

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

nbrr-0.1.2.tar.gz (23.6 kB view details)

Uploaded Source

Built Distribution

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

nbrr-0.1.2-py3-none-any.whl (7.8 kB view details)

Uploaded Python 3

File details

Details for the file nbrr-0.1.2.tar.gz.

File metadata

  • Download URL: nbrr-0.1.2.tar.gz
  • Upload date:
  • Size: 23.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1

File hashes

Hashes for nbrr-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4e7bc828288e4e36ae1e0c5644928b1de57ca73591a99d61cb91a0434cd917a3
MD5 732eac5a483efdcb7aa0950ea502b108
BLAKE2b-256 07765bf79451bc4ca914b86393c7fce521fd6bc2c519893c75bea7621e873a17

See more details on using hashes here.

File details

Details for the file nbrr-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: nbrr-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 7.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1

File hashes

Hashes for nbrr-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 945e1b3728558b3e2595b89e7aa87fe5f979c1f1c85d97e847dd7707e55a8056
MD5 19596158991f919e9a79a5a2eecc1d34
BLAKE2b-256 9339efef83bb66d7f6902c4a1629851f04055eec6bf7d44c81388c8f9099876f

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