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MyTardis - a data management system for private lab/facility data
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Latest commit 8107ec3 @grischa grischa Merge pull request #598 from wettenhj/ordering-in-api
Allowing ordering in the API for experiments, datasets and datafiles,
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docs Adding order_by API change to changes doc.
tardis Allowing ordering in the API for experiments, datasets and datafiles,
utils added documentation for single search deployment and added the ss sch…
.gitignore added sqlite file to .gitignore
.gitmodules json and fcs-table parameter support
.pylintrc WIP pylint fixes
.pylintrc.travis transition pylintrc from travis
CONTRIBUTING.rst documentation updates
CONTRIBUTORS.rst first iteration of release-focused updated documentation
COPYING.rst dynamic SFTP download docs
INSTALL.rst Fixed static file collection and added settings to documentation. Converted of all the *.txt files into *.rst, which looks better on Gi…
README.rst fixing badge update Replaced uwsgi with gunicorn (reason: downloads were not reliable wit… renamed default settings to
requirements-centos.txt Update installation instructions for CentOS 7.
requirements-osx.txt Back button of publication form on the first page now closes the dial…
requirements.txt some initial changes for elasticsearch
setup.cfg added setup.cfg for automated sphinx documentation build and upload removed buildout
ua_parser_regexes.yaml Switch to using django-user-agent instead od smartagent removed buildout



Documentation Status Join the chat at

MyTARDIS is a multi-institutional collaborative venture that facilitates the archiving and sharing of data and metadata collected at major facilities such as the Australian Synchrotron and ANSTO and within Institutions.

An example of the benefit of a system such as MyTARDIS in the protein crystallography community is that while the model coordinates and (less often) the structure factors (processed experimental data) are stored in the community Protein Data Bank (PDB) the raw diffraction data is often not available. There are several reasons why this is important, which can be summarised as:

  • The availability of raw data is extremely useful for the development of improved methods of image analysis and data processing.
  • Fostering the archival of raw data at an institutional level is one the best ways of ensuring that this data is not lost (laboratory archives are typically volatile).


The default branch on GitHub is develop. This is the cutting edge development version. Please DO NOT use this in production, as it may have bugs that eat your data.

The master branch is the current stable release with all the latest bugfixes included. It will move to newer versions automatically. Follow this branch if you want to stay up to date in a production environment.

Each version has its own branch named by version number. At the time of writing this is 3.5. Follow this branch for your production installation and perform version upgradres manually.

Each bugfix or set of fixes bumps the minor version and each new release is tagged, eg. 3.5.2. Use tagged releases if you are paranoid about changes to the code you have not tested yourself.

To follow development, please see the contributing section below.

Reporting Bugs

Bug reports and feature requests can be made via our public issue tracker.


The develop branch is the cutting edge code base that all development is based upon.

Send wishes, comments, etc. to

New contributors are welcome, however all developers should review the pull-request checklist before making pull requests.

Code Health Status

Automatic build, once a day:

Semaphore build status

Code analysis (just testing this out at the moment):

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