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Version Settings

Versioning is an important tool, especially when working with digital models over the long term or in a collaborative environment.
It allows you to clearly document changes to a model, archive earlier states, and run experiments without losing the current version.

Why is versioning important?

  • Traceability: Every change (e.g., new primitives, modified parameters, changes in flow structure) can be tracked later.
Version Index

Model version names are generated automatically and cannot be changed manually.

v0.0.1 : Initial model
v0.0.2 : New draft

v0.1.0 : Minor version
v0.1.1 : New draft

v1.0.0 : Major version
v1.0.1 : New draft

  • Error correction: If unintended errors occur, you can revert to an earlier version.
warning

You cannot delete individual drafts — only the entire model.

  • Comparability: Different model variants (scenarios) can be compared with each other.
  • Documentation: For academic work or projects, versioning provides a transparent record of the modeling process.
  • Collaboration: In team projects, different contributors can see who made which changes and when.
tip

If you want to use a published model as the basis for your own, either create a new draft (if you have permission) or clone it so you can edit it.