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
Metadata
Release files for streamframe 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| streamframe-0.1.3.tar.gz | 6.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| streamframe-0.1.3-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
Total release size: 146.6 kB
Release files / streamframe-0.1.3.tar.gz
| Download URL | streamframe-0.1.3.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|
Release files / streamframe-0.1.3-cp311-cp311-win_amd64.whl
| Download URL | streamframe-0.1.3-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 140.5 kB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.13.1
|