ZON-Format/ZON

ZON → 35-70% cheaper LLM prompts than JSON/TOON. Zero overhead.

40
/ 100
Emerging

ZON helps AI developers and data scientists significantly reduce the cost and improve the efficiency of their large language model (LLM) applications. It converts complex structured data, traditionally in formats like JSON, into a highly compact, human-readable format. This results in much smaller inputs for LLMs, saving on token costs while maintaining perfect data accuracy.

Use this if you are working with large datasets that need to be fed into LLMs and want to cut down on your API costs and improve processing speed.

Not ideal if your data is extremely simple and tabular, like a basic CSV, where the overhead of a more structured format isn't beneficial.

LLM-development AI-cost-optimization data-serialization prompt-engineering data-pipelines
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 13 / 25
Community 9 / 25

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Stars

66

Forks

5

Language

Python

License

MIT

Last pushed

Jan 22, 2026

Commits (30d)

0

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