AiiDA
Automated Interactive Infrastructure and Database for Computational Science


If you use AiiDA please cite:
AiiDA 1.0: S.P. Huber et al. arXiv:2003.12476 (2020)
AiiDA 0.x: G. Pizzi et al. Comp. Mat. Sci. 111, 218-230 (2016) (open access)

What is AiiDA?

AiiDA is an open-source Python infrastructure to help researchers with automating, managing, persisting, sharing and reproducing the complex workflows associated with modern computational science and all associated data.

 

AiiDA is built to support and streamline the four core pillars of the ADES model: Automation, Data, Environment, and Sharing. Key features include:

  • Workflows: AiiDA allows to build and execute complex, auto-documenting workflows linked to multiple codes on local and remote computers.
  • High-throughput: AiiDA’s event-based workflow engine supports tens of thousands of processes per hour with full check-pointing.
  • Data provenance: AiiDA automatically tracks and records inputs, outputs and metadata of all calculations and workflows in extensive provenance graphs that preserve the full lineage of all data.
  • Advanced queries: AiiDA’s query language enables fast graph queries on millions of nodes.
  • Plugin interface: AiiDA can support via plugins any computational code and data analytics tool, data type, scheduler, connection mode, etc. (see public plugin repository)
  • HPC interface: AiiDA can seamlessly deal with heterogeneous and remote computing resources; it works with many schedulers out of the box (SLURM, PBS Pro, torque, SGE or LSF).
  • Open science: AiiDA allows to export both full databases and selected subsets, to be shared with collaborators or made available and browsable online on the Archive and Explore sections of Materials Cloud.
  • Open source: AiiDA is released under the MIT open-source license.
 

Most recent news

AiiDA virtual tutorial registration now open

The AiiDA team are pleased to announce that registration for our annual tutorial week (July...

Documentation revamp, and more than 50 registered plugins

We are thrilled to announce a comprehensive revamp of the AiiDA documentation.   With the...

Newly-engineered Materials Cloud Archive

We would like to announce the launch of a newly engineered Materials Cloud Archive, now...

2020 Questionnaire results – AiiDA papers & testimonials

The results of the annual questionnaire on AiiDA-powered research projects are out! Find them on...

AiiDA v1.2.0 released

A new AiiDA release v1.2.0 is available! You can find more information at our download...

Pre-prints of upcoming AiiDA & Materials Cloud papers now available

After five years of continued development since the first AiiDA paper it was time to...