ZON and zon-TS

These are ecosystem siblings, where `zon-TS` is a TypeScript implementation or client library for the `ZON-Format` specification.

ZON
40
Emerging
zon-TS
38
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 13/25
Community 9/25
Maintenance 10/25
Adoption 8/25
Maturity 13/25
Community 7/25
Stars: 66
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 45
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Package No Dependents

About ZON

ZON-Format/ZON

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

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.

LLM-development AI-cost-optimization data-serialization prompt-engineering data-pipelines

About zon-TS

ZON-Format/zon-TS

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

This project helps anyone working with Large Language Models (LLMs) to reduce the cost of their prompts and improve data accuracy. It takes your existing structured data, like what you'd typically put in a JSON file, and converts it into a highly compact, human-readable format. The result is significantly cheaper LLM interactions and more reliable data retrieval for data scientists, AI engineers, and researchers.

LLM-prompt-optimization AI-cost-reduction data-serialization prompt-engineering AI-data-fidelity

Scores updated daily from GitHub, PyPI, and npm data. How scores work