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7 changes: 7 additions & 0 deletions doc/source/ecosystem.rst
Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,11 @@ ML pipeline.

Featuretools is a Python library for automated feature engineering built on top of pandas. It excels at transforming temporal and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". Users can contribute their own primitives in Python and share them with the rest of the community.

`Compose <https://github.com/FeatureLabs/compose>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Compose is a machine learning tool for labeling data and prediction engineering. It allows you to structure the labeling process by parameterizing prediction problems and transforming time-driven relational data into target values with cutoff times that can be used for supervised learning.

.. _ecosystem.visualization:

Visualization
Expand Down Expand Up @@ -445,6 +450,7 @@ Library Accessor Classes Description
`pdvega`_ ``vgplot`` ``Series``, ``DataFrame`` Provides plotting functions from the Altair_ library.
`pandas_path`_ ``path`` ``Index``, ``Series`` Provides `pathlib.Path`_ functions for Series.
`pint-pandas`_ ``pint`` ``Series``, ``DataFrame`` Provides units support for numeric Series and DataFrames.
`composeml`_ ``slice`` ``DataFrame`` Provides a generator for enhanced data slicing.
=============== ========== ========================= ===============================================================

.. _cyberpandas: https://cyberpandas.readthedocs.io/en/latest
Expand All @@ -453,3 +459,4 @@ Library Accessor Classes Description
.. _pandas_path: https://github.com/drivendataorg/pandas-path/
.. _pathlib.Path: https://docs.python.org/3/library/pathlib.html
.. _pint-pandas: https://github.com/hgrecco/pint-pandas
.. _composeml: https://github.com/FeatureLabs/compose
8 changes: 8 additions & 0 deletions web/pandas/community/ecosystem.md
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,13 @@ datasets into feature matrices for machine learning using reusable
feature engineering "primitives". Users can contribute their own
primitives in Python and share them with the rest of the community.

### [Compose](https://github.com/FeatureLabs/compose)

Compose is a machine learning tool for labeling data and prediction engineering.
It allows you to structure the labeling process by parameterizing
prediction problems and transforming time-driven relational data into
target values with cutoff times that can be used for supervised learning.

## Visualization

### [Altair](https://altair-viz.github.io/)
Expand Down Expand Up @@ -372,3 +379,4 @@ authors to coordinate on the namespace.
| [pdvega](https://altair-viz.github.io/pdvega/) | `vgplot` | `Series`, `DataFrame` |
| [pandas_path](https://github.com/drivendataorg/pandas-path/) | `path` | `Index`, `Series` |
| [pint-pandas](https://github.com/hgrecco/pint-pandas) | `pint` | `Series`, `DataFrame` |
| [composeml](https://github.com/FeatureLabs/compose) | `slice` | `DataFrame` |