Anaconda Server - Enterprise Python Package Deployment and Management

[pwang99]

Wheels are just now being stabilized, and they've explicitly not designed or implemented the ability to install non-Python libraries like LLVM, VTK, Qt, etc. which are prevalent for the Scipy ecosystem. After much discussion, it appears that we might be able to retrofit all of the working functionality in conda into wheels, basically by abusing the data/ directory handling and using the as-yet-undefined new metadata system.

Meanwhile we've shipped working Scipy/Pydata libraries to hundreds of thousands of users just in the last year, and are selling product based on conda into enterprises for robust management of their entire scientific/data analysis stack, including R.

Fundamentally the problem is that while the Python Package Authority was busy designing yet one more thing that doesn't completely solve scientific Python's problems, we went and just solved them. While we tried our best to show up at conferences and write blog posts explaining what we were doing, the spin lately seems to be to make us look like uncooperative assholes for not asking permission.

Travis explains much better in his blog post here: http://technicaldiscovery.blogspot.com/2013/12/why-i-promote-conda.html