[huuan26]

Project

polars-anta

Checklist

• I read CONTRIBUTING.md - awesome-python is a shortlist, not a catalog
• One project per PR
• PR title format: Add project-name
• Entry format: - [pypi-name](https://github.com/owner/repo) - Description ending with period.
• Display name is the PyPI package name
• Placed in an existing use case (new sections and subcategories are maintainer-only)
• Meets all Quality Requirements: active, stable, documented, at least 1 month old

Which Tier

Pick one:

• Obvious choice - a tool an experienced Python developer would name when asked "what do I use for this?"
• Challenger - not yet the obvious choice, but a credible successor to one. Give adoption-trajectory evidence, not popularity alone.

Explain:
polars-anta provides high-performance technical analysis, WorldQuant alpha factors, and vectorized backtesting natively implemented as Polars expressions. Unlike classic libraries such as TA-Lib that require external C compilers (frequently failing during setup on Windows or container builds), polars-anta has zero C dependencies and operates natively on multi-asset panels via .over("symbol") utilizing Polars' multi-threaded Rust engine and SIMD kernels.

Displacement

Not applicable: the use case Data Ingestion / ETL -> Financial Data currently has 4 entries (under the 5-entry cap).