https://github.com/dgasmith/reporec
Records GitHub and Conda statistics for funding agencies and general metrics.
https://github.com/dgasmith/reporec
Last synced: 4 months ago
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Records GitHub and Conda statistics for funding agencies and general metrics.
- Host: GitHub
- URL: https://github.com/dgasmith/reporec
- Owner: dgasmith
- License: bsd-3-clause
- Created: 2018-10-27T18:35:28.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-21T12:53:04.000Z (about 7 years ago)
- Last Synced: 2025-04-19T09:18:26.528Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 69.3 KB
- Stars: 5
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
reporec
==============================
[//]: # (Badges)
[](https://travis-ci.com/dgasmith/reporec)
[](https://codecov.io/gh/dgasmith/reporec/branch/master)
Records GitHub statistics for information and funding agencies.
## Installation
Clone this repository and install with `pip install .`.
## Usage
1. Write a YAML file (e.g. `yourrepos.yaml`) using the same format as the files in `examples/`. Currently `reporec` can access statistics from GitHub repositories and conda packages.
2. If you need access to GitHub statistics, get a GitHub API [Personal Access token](https://github.com/settings/tokens). `reporec`'s token requires full access to the `repo` category and subcategories. Export the GitHub API token to your shell environment with `export GITHUB_TOKEN=`
3. Run `reporec yourrepos.yaml` to generate reports. A directory `rrdata` will be created in the current working directory, containing CSV reports named like `-.csv`.
4. Consider running `reporec` regularly to track statistics over time!
### Copyright
Copyright (c) 2018, Daniel G. A. Smith
#### Acknowledgements
Project based on the
[Computational Molecular Science Python Cookiecutter](https://github.com/molssi/cookiecutter-cms)