iBOTS
Reproducible environments
Record and reproduce the software environment used for an analysis or application.
Our View
Declared dependencies and lock files help collaborators rerun analyses and distinguish environment changes from changes in scientific results.
Provisional positions are editorial proposals awaiting group review.
Teaching — Covered through our computing environment and research workflow topics; individual offerings are not yet attributed to this practice.
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Related themes: Neural Data AnalysisScientific Computing
Related topics: AI-Assisted Software DevelopmentArrays and Numerical ComputingAutomating Research WorkflowsCalcium Imaging AnalysisDataframes and StatisticsDeveloper EnvironmentLocal Field Potential (LFP) AnalysisMachine LearningRobust and Reusable Software
Getting started
Keep a project’s dependencies and setup instructions alongside its code. Use an environment manager to create a separate environment, record dependency versions, and commit the environment definition and lock file when available.
Check the setup on a clean environment before sharing an analysis. Record operating-system requirements and any external tools too: a list of Python packages alone may not capture everything needed to rerun the work.