v1.6.3

Fragua v1.6.3

Overview

This version focuses on decoupling Fragua from any concrete DataFrame implementation and simplifying its dependency graph.

Changes

• Removed the direct dependency on pandas from the core.
• Replaced pandas.DataFrame typing with generic typing (object) where appropriate, enabling compatibility with multiple backends such as Polars.
• Reinforced Fragua’s role as a pure execution framework for pipelines, independent of any specific data processing library.
• Removed unused serializer utilities and related imports.
• Cleaned project dependencies to reflect the minimal requirements of the core.

Impact

Fragua is now fully backend-agnostic at the core level.
All data manipulation responsibilities are delegated to user-defined function sets, making it straightforward to:

• Use pandas, Polars, or any other DataFrame-like structure.
• Build parallel ecosystems (e.g., fragua-sets-pandas, fragua-sets-polars) without modifying Fragua itself.

This release strengthens Fragua’s architectural purity and long-term extensibility.