Multivariate Techniques in Python: EcoPy Alpha Launch!

August 3, 2015

(This article was first published on Climate Change Ecology » R, and kindly contributed to R-bloggers)

I’m announcing the alpha launch of EcoPy: Ecological Data Analysis in Python. EcoPy is a Python module that contains a number of  techniques (PCA, CA, CCorA, nMDS, MDS, RDA, etc.) for exploring complex multivariate data. For those of you familiar with R, think of this as the Python equivalent to the ‘vegan‘ package.

However, I’m not done! This is the alpha launch, which means you should exercise caution before using this package for research. I’ve stress-tested a couple of simple examples to ensure I get equivalent output in numerous programs, but I haven’t tested it out with real, messy data yet. There might be broken bits or quirks I don’t know about. For the moment, be sure to verify your results with other software.

That said, I need help! My coding might be sloppy, or you might find errors that I didn’t, or you might suggest improvements to the interface. If you want to contribute, either by helping with coding or stress-testing on real-world examples, let me know. The module is available on github and full documentation is available at

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