🕷️ Atrax
Atrax is a lightweight, educational Python library for data manipulation, inspired by pandas. It's designed for developers, students, and data enthusiasts who want to learn, customize, or extend core DataFrame and Series functionality without the overhead of a full-scale framework.
📚 Documentation
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View the full docs here: https://c5m7b4.github.io/atrax/
🚀 What is Atrax?
Atrax is:
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A simplified reimagining of the pandas library.
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Built from scratch in pure Python.
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Easy to read, modify, and extend.
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Focused on core functionality like:
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Series and DataFrame objects
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operations like qcut, rank, rolling, resample, and more
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intuitive data access and slicing
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Great for learning how data libraries work under the hood.
🎯 Why Use Atrax?
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🧠 Educational: Understand how high-level data operations are implemented from scratch.
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🧰 Customizable: Build your own behavior or tweak it for niche use cases.
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⚡ Lightweight: No C extensions, no dependencies.
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🧪 Test-driven: Designed with testability and correctness in mind.
Testing
To run tests:
pytest
To view the coverage run
start htmlcov/index.html
to build
python -m build
to publish
python -m twine upload dist/*
to build the docs
pdoc atrax --output-dir docs
to view the docs
docs/index.html
1 maintainer
Metadata
1 maintainer
Release files for atrax 0.0.33
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| atrax-0.0.33.tar.gz | 32.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| atrax-0.0.33-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 67.0 kB
Release files / atrax-0.0.33.tar.gz
| Download URL | atrax-0.0.33.tar.gz |
|---|---|
| Size | 32.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.11.4
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Release files / atrax-0.0.33-py3-none-any.whl
| Download URL | atrax-0.0.33-py3-none-any.whl |
|---|---|
| Size | 34.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.4
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