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DOC: Add woodwork to ecosystem docs #41684

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Update ecosystem.rst
gsheni May 26, 2021
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Update ecosystem.md
gsheni May 26, 2021
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gsheni May 26, 2021
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11 changes: 7 additions & 4 deletions doc/source/ecosystem.rst
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Expand Up @@ -75,12 +75,12 @@ Statsmodels leverages pandas objects as the underlying data container for comput
Use pandas DataFrames in your `scikit-learn <https://scikit-learn.org/>`__
ML pipeline.

`Featuretools <https://github.com/featuretools/featuretools/>`__
`Featuretools <https://github.com/alteryx/featuretools/>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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 <https://github.com/alteryx/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.
Expand Down Expand Up @@ -551,11 +551,12 @@ Library Accessor Classes Description
================== ============ ==================================== ===============================================================================
`cyberpandas`_ ``ip`` ``Series`` Provides common operations for working with IP addresses.
`pdvega`_ ``vgplot`` ``Series``, ``DataFrame`` Provides plotting functions from the Altair_ library.
`pandas-genomics`_ ``genomics`` ``Series``, ``DataFrame`` Provides common operations for quality control and analysis of genomics data
`pandas-genomics`_ ``genomics`` ``Series``, ``DataFrame`` Provides common operations for quality control and analysis of genomics data.
`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.
`datatest`_ ``validate`` ``Series``, ``DataFrame``, ``Index`` Provides validation, differences, and acceptance managers.
`woodwork`_ ``ww`` ``Series``, ``DataFrame`` Provides physical, logical, and semantic data typing information for Series and DataFrames.
================== ============ ==================================== ===============================================================================

.. _cyberpandas: https://cyberpandas.readthedocs.io/en/latest
Expand All @@ -565,5 +566,7 @@ 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
.. _composeml: https://github.com/alteryx/compose
.. _datatest: https://datatest.readthedocs.io/
.. _woodwork: https://github.com/alteryx/woodwork

7 changes: 4 additions & 3 deletions web/pandas/community/ecosystem.md
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Expand Up @@ -34,15 +34,15 @@ computation.
Use pandas DataFrames in your [scikit-learn](https://scikit-learn.org/)
ML pipeline.

### [Featuretools](https://github.com/featuretools/featuretools/)
### [Featuretools](https://github.com/alteryx/featuretools/)

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](https://github.com/alteryx/compose)

Compose is a machine learning tool for labeling data and prediction engineering.
It allows you to structure the labeling process by parameterizing
Expand Down Expand Up @@ -386,4 +386,5 @@ authors to coordinate on the namespace.
| [pandas-genomics](https://pandas-genomics.readthedocs.io/en/latest/) | `genomics` | `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` |
| [composeml](https://github.com/alteryx/compose) | `slice` | `DataFrame` |
| [woodwork](https://github.com/alteryx/woodwork) | `slice` | `Series`, `DataFrame` |