tributary 0.0.4

Analytics library

# tributary Python Streams

[](https://travis-ci.org/timkpaine/tributary) []() [](https://codecov.io/gh/timkpaine/tributary) [](https://bettercodehub.com/) [](https://pypi.python.org/pypi/tributary) [](https://pypi.python.org/pypi/tributary) [](https://tributary.readthedocs.io)

## Python Data Streams 

# Stream Types Tributary offers several kinds of streams:

## Reactive These are synchronous, reactive data streams, built using python generators. They are designed to mimic complex event processors in terms of event ordering.

## Asynchronous These are synchronous, reactive data streams, built using asynchronous python generators. They are a variant of the reactive streams, but should offer performance improvements over the non-asynchronous variants.

## Functional These are functional streams, built by currying python functions (callbacks).

## Lazy These are lazily-evaluated python streams, where outputs are propogated only as inputs change.

## Event Loop These function as tornado based event-loop based streams similar to streamz.

# Examples - [Reactive](docs/examples/reactive.md) - [Lazy](docs/examples/lazy.md)

# Math (Work in progress)

# Sources and Sinks (Work in progress)

• kafka

• websocket

• http