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I compared the plots we did about Python dependence last year with the new dataset. Here some projects that are missing in the statistics that should be visible:
Most of those should be fixed once they next sync, although two won't fix themselves:
plantcv
codecarbon
That's because there isn't a strong link between the package metadata on pypi and the repository on GitHub, will need to do some extra work to parse the github urls from the readmes of those projects to discover the repository url.
I compared the plots we did about Python dependence last year with the new dataset. Here some projects that are missing in the statistics that should be visible:
I will also randomly go through the other programming languages filter out those with the most stars.
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