  Meta-analysis is a data aggregation method that establishes an overall and
objective level of evidence based on the results of several studies. It is
necessary to maintain a high level of homogeneity in the aggregation of data
collected from a systematic literature review. However, the current tools do
not allow a cross-referencing of the experimental conditions that could explain
the heterogeneity observed between studies. This article aims at proposing a
Python programming code containing several functions allowing the analysis and
rapid visualization of data from many studies, while allowing the possibility
of cross-checking the results by experimental condition.
