Release new and updates through libratom 0.5.2

If you follow us on Twitter (@RATOM_Project) or GitHub (https://github.com/libratom), you may have seen a couple of months months back that we released libratom 0.5.0. This made spaCy 3.0 the default NLP platform for the tool, providing access to a range of new models for named entity recognition. This release also added official tested support for Python 3.9, and dropped official testing for Python 3.6 (although functionality should remain unaffected).

Recently, we’ve released libratom 0.5.2, a maintenance bump that updates some out-of-date dependencies (including those with security advisories) in the official release.

Our current testing indicates that at this stage the core library and support CLI tools are stable on all supported platforms, though we may explore additions to the schema as additional community requests come in. You can download the latest release on PyPI or read detailed instructions on installation and usage on GitHub.

Registration now open for the RATOM 2020 Hackathon!

Registration for the 2020 RATOM Hackathon is now open!

Click here to register

Dates: October 19-21, 2020

This is a chance to get involved with other members of community working on email preservation, dig in to state-of-the-art open source tools, learn some new skills, or simply to explore a new problems space and get feedback in a friendly and inclusive environment.

The hackathon is a free virtual event, and is open to everyone. We’ve provided three suggested areas of interest in the registration to help bring together those interested in similar features, workflows, or automation tasks.

Recently released: libratom 0.4.3

We’ve released libratom 0.4.3, which includes a new flag option (-m) for the entity and report CLI commands, allowing users to populate the message table of the sqlite3 database output with message bodies (stripped of markup and inline attachments) and headers. This option is intended to facilitate a broader range of dataset production workflows, particularly supporting downstream statistical content analysis and ML tasks.

This release also includes additional improvements to the feedback provided by existing commands, bug fixes, and dependency updates.

You can download this release on PyPI or read detailed instructions on installation and usage on GitHub.

Recently released: libratom 0.4.1

We’ve released libratom 0.4.1, which introduces a new CLI command to allow users to batch export preselected messages from PST files using machine-generated JSON. This command is intended to complement the operation of our (in development – see the ratom-deploy repository on GitHub) web interface allowing collecting organizations to select, appraise, and export messages for delivery. More info coming soon!

This release also includes additional improvements to the feedback provided by existing commands, bug fixes, and dependency updates.

You can download this release on PyPI, or read detailed instructions on installation and usage on GitHub.

Recently released: libratom 0.3.0

We’ve released libratom 0.3.0, which introduces a new CLI command to inspect locally installed spaCy models and install specific versions of models as desired. This release includes additional minor bug fixes and dependency updates.

You can download this release on PyPI, or read detailed instructions on installation and usage on GitHub.