{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence"}],"enrichment":{"capability":"toons is a Rust-backed Python parser and serializer for the TOON (Token Oriented Object Notation) format, a token-efficient data serialization designed for LLM contexts, with an API mirroring the standard json module.","skillfed_tags":["llm-optimization","serialization","rust-bindings"],"use_cases":["Reduce token consumption in LLM prompts and responses by serializing structured data in TOON instead of JSON.","Build prompt templates and few-shot examples that fit within tighter token budgets for cost-sensitive LLM APIs.","Convert between TOON and JSON formats in data pipelines serving both LLM and non-LLM consumers.","Store and transmit structured configuration or metadata in LLM-adjacent workflows where token efficiency matters.","Prototype or migrate existing json-based code to TOON with minimal refactoring due to the familiar API."],"what_it_does":"toons is a Python library that parses and serializes data in TOON format, a compact token-efficient notation designed to reduce token consumption in LLM contexts by 30-60% compared to JSON. It wraps a Rust implementation via PyO3 bindings and exposes a json-like API (loads, dumps, load, dump) so developers familiar with the standard library can adopt it with minimal friction. The package also includes conversion utilities to translate between TOON and JSON.\n\nThe library targets use cases where token count directly impacts cost or context capacity\u2014primarily LLM applications, prompt engineering, and data serialization for AI systems. It supports standard Python types and is spec-compliant with TOON Specification v3.0. Installation is straightforward on modern platforms via prebuilt wheels, though some architectures may require a Rust compiler.","worth_installing":"Yes, with conditions. Install if you work with LLMs and need to reduce token consumption in serialized data\u2014the token savings (30-60% vs JSON) are real and the json-like API lowers adoption friction. Verify the license (marked unclear in metadata despite Apache 2.0 in the description) before use in proprietary code. Medium install friction is acceptable for most modern Python environments, and the package is actively maintained with no known vulnerabilities."},"id":"toons","links":{"html":"https://skillfed.io/packages/toons","md":"https://skillfed.io/packages/toons.md","pypi":"https://pypi.org/project/toons/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-21","license_spdx":null,"license_treatment":"unclear","name":"toons","python_support":"supports_current","summary":"A high-performance TOON (Token Oriented Object Notation) parser and serializer for Python, implemented in Rust."},"popularity":{"monthly_downloads":7894093,"position":1684,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.7.0"}