Python complex event processing

Casual browsing indicates that this is not a very common problem domain for Python (although very interesting!). The framework that closest come to my mind is PEAK-Rules or dynrules.

There might be more, but not widely known (I'll search a bit more)

For your own digging: the place to find Python projects is first and foremost PyPI.

(@cues7a: Twisted, while indeed being an event framework, is too low-level to be comparable to Esper.)

Edit: It seems you can control Sybase's CEP products with Python

The ruleCore CEP Server uses dynamically loaded Python modules which can be used to extend it. The internal architecture is build around a central event bus which uses a pub/sub approach. So each module can subscribe to internal events and publish events based on logic inside the module.

The Kaskada project isn't exactly a CEP tool, but it has some similarities to CEP systems and provides a Python client designed for notebook environments like Jupyter.

For example, you can query for things like "how many pageviews have occurred since the last time a user made a purchase":

PageView | count(window=since(Purchase))

Kaskada's query language is based on the idea of a timeline, and many of the operations provided by CEP languages (followed-by, repeated, etc) have analogs in Kaskada's query language.

Disclaimer: I am a contributor to the Kaskada project.

What about Twisted Matrix?