Alan Orth 7a183010f1 pyproject.toml: bump python to 3.9
Same as the main project csv-metadata-quality.
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Online DSpace CSV Metadata Quality Checker

Build Status Code style: black

Screenshot of csv-metadata-quality-web on Heroku

You can try the hosted version or host it yourself (see below).

Usage

Create a Python 3.8+ virtual environment and install the dependencies:

$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt

Running Locally

$ gunicorn csv_metadata_quality_web.main

And then visit http://localhost:8000/ in your browser.

Deploying to Heroku

Install the heroku command line tools, add a heroku git remote, and push:

$ git push heroku

License

This work is licensed under the GPLv3.

The license allows you to use and modify the work for personal and commercial purposes, but if you distribute the work you must provide users with a means to access the source code for the version you are distributing. Read more about the GPLv3 at TL;DR Legal.

Description
Easy to use, web-based version of the DSpace CSV Metadata Quality checker application.
https://fierce-ocean-30836.herokuapp.com Readme 608 KiB
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