Metadata-Version: 2.4
Name: streamframe
Version: 0.1.1
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Summary: Real-time feature computation engine for streaming data
Keywords: streaming,real-time,analytics,feature-engineering
Author: Sid
Requires-Python: >=3.8
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM

# 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.

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## 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.**

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## Installation

```bash
pip install streamframe


