Skip to main content

A pandas-like library for tabular and time series data.

Project description

🕷️ 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.

🚀 What is Atrax?

Atrax is:

  • A simplified reimagining of the pandas library.

  • Built from scratch in pure Python.

  • Easy to read, modify, and extend.

  • Focused on core functionality like:

    • Series and DataFrame objects

    • operations like qcut, rank, rolling, resample, and more

    • intuitive data access and slicing

  • Great for learning how data libraries work under the hood.

🎯 Why Use Atrax?

  • 🧠 Educational: Understand how high-level data operations are implemented from scratch.

  • 🧰 Customizable: Build your own behavior or tweak it for niche use cases.

  • ⚡ Lightweight: No C extensions, no dependencies.

  • 🧪 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/*

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

atrax-0.0.8.tar.gz (39.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

atrax-0.0.8-py3-none-any.whl (31.2 kB view details)

Uploaded Python 3

File details

Details for the file atrax-0.0.8.tar.gz.

File metadata

  • Download URL: atrax-0.0.8.tar.gz
  • Upload date:
  • Size: 39.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for atrax-0.0.8.tar.gz
Algorithm Hash digest
SHA256 73d7d3da914d1c8f259f3ab44d08f8c2ca2a18177eb5181126168d7488332afc
MD5 a00665ddde3797ef6e70f12d76470f1b
BLAKE2b-256 b86e882a853ea102988ed8e109717c75bdc6f3669b07e0f049043ede702765e8

See more details on using hashes here.

File details

Details for the file atrax-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: atrax-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 31.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for atrax-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 9f5bd7a9c13ebc32c0a1756d5adf90c77682eadd37a890c47d81ba235776ff1b
MD5 9ff012e892b3eddf2e4dbd7a7494523a
BLAKE2b-256 2d4885ddb1687c1ad96bc9b191e3eb00221db4907a44ca25e2517da9ea16f8c7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page