Rormula is a Python package that parses the Wilkinson notation to create model matrices useful in design of experiments.
Additionally, it can be used for column arithmetics similar to
df.eval where df is a Pandas dataframe. Rormula is significantly faster for small matrices than df.eval or Formulaic, does not allow arbitrary code execution but only pre-defined operators,
and still a not well tested prototype.
More information can be found under https://github.com/basf/rormula.
FAQs
Formula parser and evaluator for Wilkinson notation
We found that rormula demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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