Applybase

Applybase is a software library that provides a concise API for applying transformations to base data structures. It handles common forms such as lists, dictionaries, and tuples, including nested compositions, and aims to let developers express transformation pipelines with minimal boilerplate.

At its core is a function set that traverses the input data and applies a base function to eligible elements. Transformations can be composed, filtered, or mapped with control over traversal depth, handling of missing values, and error propagation. The library favors pure functions and returns new structures by default while supporting in-place updates when requested. It also offers adapters or integration hooks for connecting with existing data processing stacks.

A lightweight, modular design underpins the architecture. A core engine manages traversal and delegates to type-specific transformers, while a plugin system allows users to supply custom behavior for particular data types or sources. This approach supports portability across environments and aims to minimize allocations and overhead. Some implementations include optional lazy evaluation to improve performance when working with large or streaming inputs.

Example: applying a numeric transformer that doubles values across a nested object would yield a new structure with all numbers doubled, while preserving the original shape. Users provide the transformation function and can configure controls such as traversal depth, targeted element types, or error handling strategy.

Applybase is distributed under an open-source license and hosted on a public repository. It is used in data-cleaning workflows and educational contexts to illustrate functional transformation patterns. Related concepts include map, reduce, transducers, and recursive data processing.