Space Delimiter Parser

This tool accepts a text string and a delimiter, defaulting to a space, and returns a tokenized representation along with counts. It is designed for developers and data teams who preprocess text data such as logs, CSV-like lines, or configuration lists. The approach is deterministic and lightweight, with no external dependencies.
Conceptually, tokenization splits the input on the delimiter, trims whitespace, removes empty tokens if requested, and produces a tokens array, a token_count, and optional downstream artifacts like unique tokens or a frequency map.
Use cases include log parsing, feature engineering, data validation, and quick data prep for pipelines. It supports custom delimiters beyond spaces and can normalize case when required. The tool is designed to be stateless and easily scriptable, making it suitable for batch processing or integration into automated workflows.
Key differentiators are simplicity, predictable behavior, and outputs that cover both token-level and aggregate insights, enabling immediate downstream use without additional tooling.