seems kind of similar to babbage:
https://github.com/ReadyForZero/babbage/tree/1.1


On Sat, Nov 2, 2013 at 3:28 PM, Zach Tellman <ztell...@gmail.com> wrote:

> https://github.com/ztellman/narrator
>
> This is a reimplementation of an approach I've discussed in several talks
> [1] [2], with an eye towards performance, memory efficiency, and
> flexibility w.r.t. how the event stream is represented.  The readme does a
> good job of explaining how it works, but there have been a number of new
> event processing libraries recently (core.async, EEP, etc.), so I'll spend
> some time here describing how this differs.
>
> First, this library is focused on aggregations over event streams, not
> arbitrary transformations.  It is designed such that these aggregations can
> be automatically parallelized, and use non-thread-safe data structures
> (such as those in the excellent stream-lib [3]) without having to worry
> about coordination.  As such, within this narrower application it has a
> richer set of operators, and should be a fair bit faster (millions of
> messages/sec/core).
>
> Second, this has support for time-series analysis of ordered streams,
> either historical or in real time.  The input for either type of analysis
> can be normal sequences, core.async channels, or Lamina channels. At
> Factual we use this for aggregations across many of our real-time systems,
> and I also use it for both ad hoc queries and daily rollups of logs and
> other historical data.
>
> On a personal note, I think this is one of the most interesting and useful
> libraries I've written.  I'm really looking forward to seeing how people
> use it, and encourage feedback on how to make it better.
>
> Zach
>
> [1] http://www.infoq.com/presentations/analyze-running-system
> [2] http://vimeo.com/45132054#!
> [3] https://github.com/addthis/stream-lib
>
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