The DIALS software is developed in a fully open-source, collaborative environment. The main development teams are based at Diamond Light Source and CCP4, in the UK, and at Lawrence Berkeley National Laboratory, USA. However, in the spirit of the open source movement, we welcome collaboration from anyone who wishes to contribute to the project.
To avoid “reinventing the wheel” as much as possible, the DIALS project builds on knowledge accumulated over many decades in the field of crystallographic data processing. We benefit greatly from the altruism of experts who contribute their ideas and advice, either directly or via their detailed publications on existing algorithms and packages such as XDS  and MOSFLM . At the heart of the DIALS framework lies a design philosophy of hardware abstraction and a generalised model of the experiment that is inspired directly by material published on the seminal workshops on position sensitive detector software . Continuing in the spirit of these workshops we held our own series of meetings, with talks from invited speakers, and code camps in which specific problems are addressed by intensive effort across the collaboration. Summaries of these meetings and copies of slides given as presentations are available here.
DIALS is written using Python and C++, making heavy use of the cctbx  for core crystallographic calculations and much infrastructure including a complete build system. Seamless interaction between the C++ and Python components of this hybrid system is enabled by Boost.Python. Python provides a useful ground for rapid prototyping, after which core algorithms and data structures may be transferred over to C++ for speed. High level interfaces of the hybrid system remain in Python, facilitating further development and code reuse both within DIALS and by third parties.
Development of DIALS in the UK is funded by the Wellcome Trust, Diamond Light Source and CCP4, and led by Dr Gwyndaf Evans.
Development of DIALS at Lawrence Berkeley National Laboratory, USA is led by Dr Nicholas Sauter and supported by National Institutes of Health / National Institute of General Medical Sciences grant R01-GM117126: DIALS: New Computational Methods to Enable Challenging Crystallographic Experiments. Work at LBNL is performed under Department of Energy contract DE-AC02-05CH11231.
We are grateful to all those who have contributed to the development of DIALS.
Contributors include: Aaron Brewster Ammaar Saeed Asmit Bhowmick Benjamin Williams Billy Poon Daniel Paley Daniel Tchon David Waterman Derek Mendez Graeme Winter Huw Jenkins Ian Rees Iris Young James Beilsten-Edmands James Parkhurst Johan Hattne Katrin Leinweber Kevin Dalton Lee James O'Riordan Luis Fuentes-Montero Marcin Wojdyr Markus Gerstel Nathaniel Echols Nicholas Devenish Nicholas Sauter Nigel Moriarty Oliver Zeldin Richard Gildea Robert Bolotovsky Stef Smeets Takanori Nakane Tara Michels-Clark Tarik Drevon
In addition, we acknowledge guidance and ideas gained through numerous intellectual discussions with the following:
Alun Ashton, Gleb Bourenkov, Gerard Bricogne, Phil Evans, Andrew Leslie, Nigel Moriarty, Garib Murshudov, Jim Pflugrath, Harry Powell, Jon Schuermann and Matthew Webber.