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
name: myproject # NB - overridden by this buildpack installation dependencies: - pandas
Once that's created, you need to create a new Heroku app using this buildpack like this:
$ heroku create --buildpack https://github.com/singletracksystems/conda-buildpack
You can also add it to upcoming builds of an existing application:
$ heroku config:add BUILDPACK_URL=https://github.com/singletracksystems/conda-buildpack
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. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://binstar.org >>>
Heroku limits the final application footprint (slug) size to 300MB. Start small.
Copy the snippet above into CLI.