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Toondash Library Offers Headless Query Engine for AI Data Stream Compression

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A developer has released @srtv/toondash, an open-source JavaScript utility library designed to query, filter, and transform data payloads without fully decoding them into memory. The library targets a common inefficiency in AI pipelines where standard JSON formatting can consume 40–70% of LLM prompt token budgets through repetitive syntax. Toondash natively supports both standard JSON and compressed TOON (Token-Oriented Object Notation) formats through a single API, eliminating the need to fully parse and re-serialize data mid-pipeline. It is framework-agnostic and compatible with any Node.js or JavaScript workflow, offering utilities such as filter, map, and pick. The initial release is available via npm, and the developer has also launched an interactive sandbox for testing real-time data mutations and compression.

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Toondash Library Offers Headless Query Engine for AI Data Stream Compression · ShortSingh