AI · alternatives · 2026
24 alternatives to ISON – Data format that uses 30-70% fewer tokens than JSON for LLMs
ISON (Interchange Simple Object Notation) - a data format optimized for LLMs and Agentic AI. The problem: JSON wastes tokens. Curly braces, quotes, colons, commas - all eat into your context window. ISON uses tabular patterns that LLMs already understand from training data: JSON (87 tokens): { "users": [ {"id": 1, "name": "Alice", "email": "[email protected]"}, {"id": 2, "name": "Bob", "email": "[email protected]"} ] } ISON (34 tokens): table.users id:int name:string email 1 Alice [email protected] 2 Bob [email protected] Features: - 30-70% token reduction - Type annotations - References between…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
2023 · github.com · its alternatives →
- 2
Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
2025 · github.com · its alternatives →
- 3
A relaxed, user-friendly json-like data format. Contribute to polymonster/jsn development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 4
Fit 40% more context into your LLM prompts for free
Dec 2025 · pypi.org · its alternatives →
- 5
Cut LLM token costs by converting JSON to TOON format
May 2026 · jsondevtools.org · its alternatives →
- 6
When building workflows that rely on LLMs, we commonly use structured output for programmatic use cases like converting an invoice into rows or meeting transcripts into tickets or even complex PDFs into database entries. The model may return the schema you want, but with hallucinated values like `invoice_date` being off by 2 months or the transcript array ordered wrongly. The JSON is valid, but the values are not. Structured output today is a big part of using LLMs, especially when building deterministic workflows. Current structured output benchmarks (e.g., JSONSchemaBench) only validate…
Apr 2026 · interfaze.ai · its alternatives →
- 7
the JS/Node.JS library for encoding complex and unconventional data structures. Support for BigInts, TypedArrays, null, undefined, and Symbol. Multiple flavors available. - DO-SAY-GO/WeirdJSON
2020 · github.com · its alternatives →
- 8
Min.js Style Compression of Tech Docs for LLM Context - marv1nnnnn/llm-min.txt
2025 · github.com · its alternatives →
- 9
A Java toolkit for working with the IAP network protocol and its data format ION. - jjenkov/iap-tools-java
2016 · github.com · its alternatives →
- 10
JSON5 — JSON for Humans. Contribute to json5/json5 development by creating an account on GitHub.
2012 · github.com · its alternatives →
- 11
Cut AI token costs 30-60% with smarter JSON encoding
Nov 2025 · toonifyit.com · its alternatives →
- 12
After two years of improvement, I think it's time to share it with you all. Here’s a quick overview: - Common features include validation, formatting, minification, and more. - Visualize JSON in a graph or table view. - Structured comparison with fallback to text comparison. - Navigate though JSON using JSON pointer. - Supports jq. Would love to hear the community's questions, thoughts and comments!
2024 · github.com · its alternatives →
- 13
We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com · its alternatives →
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- 15
verify-json. Contribute to yusufnb/verify-json development by creating an account on GitHub.
2020 · github.com · its alternatives →
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- 17
Tyndale▲72Translate your app with the AI you already pay for
Apr 2026 · tyndale.dev · its alternatives →
- 18
Ludicrously Compact Object Notation. Contribute to ar-nelson/lcon development by creating an account on GitHub.
2014 · github.com · its alternatives →
- 19
Reduce your LLM token usage by 30% to 60% on average
Nov 2025 · jsontotoonapp.com · its alternatives →
- 20
CTON provides a JSON-compatible, token-efficient text representation optimized for LLM prompts. - davidesantangelo/cton
Nov 2025 · github.com · its alternatives →
- 21
Hello all To preface this is just something I've been making as a learning exercise, so all feedback is appreciated. This is a tool that converts JSON schemas into TypeScript utility classes for use in Deno. Automatic Type Generation: Typescript interfaces for the compressed and uncompressed versions of your data. Compression & Decompression: Compress and decompress your data. Validation: Built-in data validation using Ajv ensures your data adheres to the schema. Reusability: Once generated, the utility classes can be used in other Deno projects. It currently only supports a subset of JSON…
2023 · github.com · its alternatives →
- 22
Stop wasting money on JSON. Save 50%+ tokens on your LLMs
Aug 2026 · zeon-eight.vercel.app · its alternatives →
- 23
I've been exploring how to describe UI layouts to LLMs efficiently. The problem: When you ask an AI to generate or modify UI, how do you describe the current state? - Natural language ("header on top, form below") is ambiguous - ASCII art breaks when edited (alignment issues) - HTML is precise but verbose I ran some measurements. For a simple login form: - Natural language: 102 tokens - ASCII art: 84 tokens - HTML: 330 tokens I experimented with a grid-based text format using Excel-like cell references: grid: 4x3 A1..D1: { type: txt, value: "Login" } A2..D2: { type: input, label: "Email" }…
Feb 2026 · github.com · its alternatives →
- 24IU
Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: https://news.ycombinator.com/item?id=38842977. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
2024 · hnjobsai.vercel.app · its alternatives →
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- Agents.json – OpenAPI Specification for LLMs alternatives
- Jsn – A relaxed, user-friendly JSON-like data format alternatives
- toon-parse alternatives
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- A new benchmark for testing LLMs for deterministic outputs alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →