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Jun 27, 2015
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Add odo to ecosystem docs #10455

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24 changes: 16 additions & 8 deletions doc/source/ecosystem.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -132,19 +132,19 @@ Pandas DataFrames with timeseries indexes.

`pydatastream <https://github.com/vfilimonov/pydatastream>`_
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
PyDatastream is a Python interface to the
PyDatastream is a Python interface to the
`Thomson Dataworks Enterprise (DWE/Datastream) <http://dataworks.thomson.com/Dataworks/Enterprise/1.0/>`__
SOAP API to return indexed Pandas DataFrames or Panels with financial data.
SOAP API to return indexed Pandas DataFrames or Panels with financial data.
This package requires valid credentials for this API (non free).

`pandaSDMX <http://pandasdmx.readthedocs.org>`_
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
pandaSDMX is an extensible library to retrieve and acquire statistical data
and metadata disseminated in
`SDMX <http://www.sdmx.org>`_ 2.1. This standard is currently supported by
pandaSDMX is an extensible library to retrieve and acquire statistical data
and metadata disseminated in
`SDMX <http://www.sdmx.org>`_ 2.1. This standard is currently supported by
the European statistics office (Eurostat)
and the European Central Bank (ECB). Datasets may be returned as pandas Series
or multi-indexed DataFrames.
and the European Central Bank (ECB). Datasets may be returned as pandas Series
or multi-indexed DataFrames.

`fredapi <https://github.com/mortada/fredapi>`_
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Expand Down Expand Up @@ -183,8 +183,16 @@ Out-of-core
-------------

`Blaze <http://blaze.pydata.org/>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Blaze provides a standard API for doing computations with various
in-memory and on-disk backends: NumPy, Pandas, SQLAlchemy, MongoDB, PyTables,
PySpark.

`Odo <http://odo.pydata.org>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Odo provides a uniform API for moving data between different formats. It uses
pandas own ``read_csv`` for CSV IO and leverages many existing packages such as
PyTables, h5py, and pymongo to move data between non pandas formats. Its graph
based approach is also extensible by end users for custom formats that may be
too specific for the core of odo.