Research Data Analysis

AiiDA

Open-source Python infrastructure for running computational-science workflows and recording the provenance of their data and processes.

Last verified

RESEARCH USE

Where AiiDA fits

AiiDA organizes local and remote scientific codes into restartable Python workflows while recording inputs, outputs, metadata, and process relationships in a provenance graph. Plugins connect simulation codes, transports, and schedulers, and the resulting records can be queried or exported. Plan the database, process runner, compute access, and archival approach before production use.

Research tasks

  • Orchestrate calculations on local systems and clusters
  • Capture data and process provenance automatically
  • Build restartable, queryable computational workflows

What to evaluate before use

  • AiiDA manages workflows and provenance; it is not the scientific simulation code that produces a domain result.
  • A production deployment can involve PostgreSQL, a message broker, and remote schedulers. Reproducibility still depends on preserving external code, data, and environments.

Verification note

This entry summarizes the tool's role without assessing scientific accuracy or endorsing its outputs. Features and terms can change; consult the official source before adopting it for consequential work.

workflow automationdata provenance

Last verified: 2026-09-04
Source: official documentation ↗