This is the Heroku Buildpack for Conda using it's new environment spec. Anything you can install with conda install can be installed using this, including the entire data science stack. Be careful of slug sizes, though. Heroku does have limits.

To control what gets installed, create an environment.yml file in the root of your repository. For example, if you wanted to install Flask, you would add this:

name: myproject  # overridden at install, so this is for your use with conda env
dependencies:
  - flask

Once that's created, you need to create a new Heroku app using this buildpack like this:

$ heroku create --buildpack https://github.com/conda/conda-buildpack.git

You can also add it to upcoming builds of an existing application:

$ heroku config:add BUILDPACK_URL=https://github.com/conda/conda-buildpack.git

You can test that this is running conda managed Python like this:

$ heroku run python
Running `python` attached to terminal... up, run.7018
Python 2.7.9 |Continuum Analytics, Inc.| (default, Dec 15 2014, 10:33:51)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
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Heroku limits the final application footprint (slug) size to 300MB. Start small.