We are proud to announce that our in-house samples database solution is now published as open source software (AGPL). It is a Python/Django-based framework for creating Web databases for samples. So far, it is used successfully by four in-house departments.
For all the details and a demo, visit <http://www.juliabase.org>. The highlights include: - maximal flexibility for being adapted perfectly to your production and measurement setups, and to your workflows; (that's the reason why it is a programming framework rather than a turnkey application) - keeps track of samples across sample splits - support for pre-evaluating raw data and creating plots - arbitrarily complex searches made easy, e.g. “find all samples with infrared measurements, deposited together with a sample on glass substrate with a conductivity greater than 10^-6 S/cm; oh yes, and only from this year and made by John” - export to spreadsheets - automatic lab notebooks - server interaction with other programs through an HTTP/JSON interface JuliaBase's sources include an "example institute" that programmers can use as a starting point. -- Torsten Bronger Jabber ID: torsten.bron...@jabber.rwth-aachen.de or http://bronger-jmp.appspot.com -- https://mail.python.org/mailman/listinfo/python-list
