Currently kicking the tires on Anaconda, Continuum.io’s Python distribution focused on high performance compute processing:
Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing
… Our users need to work with different versions of Python, NumPy, SciPy, and a variety of other packages. Moreover, they must be able to easily share live, runnable versions of their work, including all supporting packages, to their colleagues or the general public.
We created the conda package and environment management system to solve these problems. It allows users to install multiple versions of binary packages (and any required libraries) appropriate for their platform and easily switch between them, as well as easily download updates from an upstream repository. …
Bit of shame as virtualenv is really a core part of the Python ecosystem and personally makes my life a lot easier. But I can understand the tradeoff.