Bionic can be installed using pip
:
pip install bionic[standard]
The bionic[standard]
package includes the core framework as well as the most commonly-used dependencies. There are several other subpackages offering different dependencies, documented below<extra-packages>
.
You will probably also want to install Graphviz, which Bionic uses to generate visualizations of its workflow graph. Unfortunately Graphviz is not written in Python and can't be installed by pip
. On Mac OS X, you can use Homebrew to install it:
brew install graphviz
If you want your data to be automatically cached to Google Cloud Storage, you'll also need to have the Google Cloud SDK installed, have access to a GCS bucket, and install the bionic[gcp]
subpackage.
Finally, installing LibYAML will improve performance for some workloads. LibYAML is also available via Homebrew:
brew install libyaml
Bionic should work on both Python 2.7 and Python 3.x.
The default bionic
PyPI package installs only the minimal dependencies for building and running flows. However, many other dependency configurations are available. Most users will want the bionic[standard]
package, which supports common integrations like Matplotlib, as well as graph visualization.
The full set of subpackages is as follows:
Subpackage | Installation Command | Enables |
---|---|---|
dev |
|
every feature; testing; building documentation |
---------- | ---------------------------------- | --------------------------------- |
dask | pip install bionic[dask] |
the @dask decorator |
---------- | ---------------------------------- | --------------------------------- |
dill | pip install bionic[dill] |
the @dillable decorator |
---------- | ---------------------------------- | --------------------------------- |
examples | pip install bionic[examples] |
the tutorial example code |
---------- | ---------------------------------- | --------------------------------- |
full | pip install bionic[full] |
every non-development feature |
---------- | ---------------------------------- | --------------------------------- |
gcp | pip install bionic[gcp] |
caching to GCS |
---------- | ---------------------------------- | --------------------------------- |
image |
|
automatic de/serialization of |
---------- | ---------------------------------- | --------------------------------- |
matplotlib | pip install bionic[matplotlib] |
the @pyplot decorator |
---------- | ---------------------------------- | --------------------------------- |
standard |
|
graph visualization; |
---------- | ---------------------------------- | --------------------------------- |
viz | pip install bionic[viz] |
graph visualization |
These two worked examples illustrate the basic mechanics of Bionic.
tutorials/hello_world.ipynb tutorials/ml_workflow.ipynb