pypi_packages: mbox-to-sqlite
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| mbox-to-sqlite | Load email from .mbox files into SQLite | [] | # mbox-to-sqlite [](https://pypi.org/project/mbox-to-sqlite/) [](https://github.com/simonw/mbox-to-sqlite/releases) [](https://github.com/simonw/mbox-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/mbox-to-sqlite/blob/master/LICENSE) Load email from .mbox files into SQLite ## Installation Install this tool using `pip`: pip install mbox-to-sqlite ## Usage Use the `mbox` command to import a `.mbox` file into a SQLite database: mbox-to-sqlite mbox emails.db path/to/messages.mbox You can try this out against an example containing a sample of 3,266 emails from the [Enron corpus](https://en.wikipedia.org/wiki/Enron_Corpus) like this: curl -O https://raw.githubusercontent.com/ivanhb/EMA/master/server/data/mbox/enron/mbox-enron-white-s-all.mbox mbox-to-sqlite mbox enron.db mbox-enron-white-s-all.mbox You can then explore the resulting database using [Datasette](https://datasette.io/): datasette enron.db ## Development To contribute to this tool, first checkout the code. Then create a new virtual environment: cd mbox-to-sqlite python -m venv venv source venv/bin/activate Now install the dependencies and test dependencies: pip install -e '.[test]' To run the tests: pytest | Simon Willison | text/markdown | https://github.com/simonw/mbox-to-sqlite | Apache License, Version 2.0 | https://pypi.org/project/mbox-to-sqlite/ | https://pypi.org/project/mbox-to-sqlite/ | {"CI": "https://github.com/simonw/mbox-to-sqlite/actions", "Changelog": "https://github.com/simonw/mbox-to-sqlite/releases", "Homepage": "https://github.com/simonw/mbox-to-sqlite", "Issues": "https://github.com/simonw/mbox-to-sqlite/issues"} | https://pypi.org/project/mbox-to-sqlite/0.1a0/ | ["click", "sqlite-utils", "pytest ; extra == 'test'"] | >=3.7 | 0.1a0 | 0 |