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Data manager and advanced queries for Redis.

Project description

A stand-alone Python 3 compatible data manager for Redis remote data structures.

The data is owned by different, configurable back-end databases and it is accessed using a light-weight Object Data Mapper (ODM). The source code and documentation are hosted at github while Downloads are available via PyPi.





Mailing List:


server, database, cache, redis, odm



  • Python 2.6 to Python 3.3. Single codebase.

  • Optional Cython for faster redis protocol parser.

  • You need access to a Redis server.


Key-valued pairs databases, also know as key-value stores, have many differences from traditional relational databases, most important being they do not use SQL as their query language, storage does not require a fixed table schemas and usually they do not support complex queries.

Stdnet aims to accommodate a flexible schema and join type operations via a lightweight object data mapper. Importantly, it is designed with large data sets in mind. You pull data you need, nothing more, nothing less. Bandwidth and server round-trips can be reduced to the bare minimum so that your application is fast and memory efficient.


To install, download, uncompress and type:

python install

otherwise use easy_install:

easy_install python-stdnet

or pip:

pip install python-stdnet


StdNet uses Sphinx for its documentation, and the latest is available at GitHub:

Version Check

To know which version you have installed:

>>> import stdnet
>>> stdnet.__version__
>>> stdnet.VERSION
stdnet_version(major=0, minor=7, micro=0, releaselevel='rc', serial=2)


Backend data-stores provide the backbone of the library, while the Object Data Mapper the syntactic sugar. Currently the list of back-ends is limited to

There are plans to extend it to

  • Local memory (planned). For testing purposes.

  • Amazon DynamoDB.

Object Data Mapper

The stdnet.odm module is the ODM, it maps python object into database data. It is design to be fast and safe to use:

from stdnet import odm

class Base(odm.StdModel):
    '''An abstract model. This won't have any data in the database.'''
    # A unique symbol field, a symbol is an immutable string
    name = odm.SymbolField(unique = True)
    # Another symbol, symbol fields are by default indexes
    ccy  = odm.SymbolField()

    def __str__(self):
        return str(

    class Meta:
        abstract = True

class Instrument(Base):
    itype = odm.SymbolField()

class Fund(Base):
        # A char field is a string and it is never an index
    description = odm.CharField()

class PositionDescriptor(odm.StdModel):
    dt    = odm.DateField()
    # A float field is not an index by default
    size  = odm.FloatField()
    price = odm.FloatField()
    # A FK field which we explicitly set as non-index
    position = odm.ForeignKey("Position", index = False)

class Position(odm.StdModel):
    instrument = odm.ForeignKey(Instrument, related_name = 'positions')
    fund       = odm.ForeignKey(Fund)
    history    = odm.ListField(model = PositionDescriptor)

    def __str__(self):
        return '%s: %s @ %s' % (,self.instrument,self.dt)

Register models with backend:


And play with the API:

>>> f = Fund(name="pluto,description="The super pluto fund",ccy="EUR").save()
Fund: pluto

Running Tests

At the moment, only redis back-end is available and therefore to run tests you need to install Redis. If you are using linux, it can be achieved simply by downloading, uncompressing and running make, if you are using windows and want to save yourself a headache you can download precompiled binaries at servicestack.

Requirements for running tests:

Note, these requirements are only needed if you are planning to run tests. To run tests open a shell and launch Redis. On another shell, from the package directory, type:


Tests are run against a local redis server on port 6379 and database 7 by default. To change the server and database where to run tests pass the --server option as follow:

python --server redis://

For more information type:

python -h

To access coverage of tests you need to install the coverage package and run the tests using:

coverage run

and to check out the coverage report:

coverage html


  • Redis simply because this library uses its awesome features.

  • redis-py for the Redis Python client initial implementation which has been subsequently modified.

  • hiredis-py for some parts of the C parser.

  • SQLAlchemy and Django for ideas and API design.

  • Armin Ronacher and Ask Solem for the celery sphinx theme used for the documentation.


Development of stdnet happens at Github:

We very much welcome your contribution of course. To do so, simply follow these guidelines:

  1. Fork python-stdnet on github

  2. Create a topic branch git checkout -b my_branch

  3. Push to your branch git push origin my_branch

  4. Create an issue at with a link to your patch


This software is licensed under the New BSD License. See the LICENSE file in the top distribution directory for the full license text.

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