Real-time feature computation engine for streaming data
Project description
streamframe
streamframe is a lightweight engine for computing real-time features over streaming data.
It’s built in Rust for performance, but designed for ease of use via Python.
Why this exists
Most tools like pandas or Polars assume you already have all your data.
But in many real-world systems, data arrives continuously:
- API requests
- logs
- sensor readings
- market data
You don’t want to recompute everything every time a new value comes in.
streamframe updates everything incrementally, in constant time.
Installation
pip install streamframe
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