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ISON-format
ison
Python2025–2026
ISON-format / ison

ison

🔥 Token-efficient JSON alternative for LLMs & agentic AI — same data, fewer tokens. Python · JS/TS · Rust · Go · C++

2Distinct people
3Mentions
0Explicit recommenders
127GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

🔥 Token-efficient JSON alternative for LLMs & agentic AI — same data, fewer tokens. Python · JS/TS · Rust · Go · C++

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by 6-hour interval3 dated mentions

Observed mentions: 2025-12-26 23:38:28 UTC to 2026-01-01 22:48:13 UTC.

012025-12-26 18:00:00 UTC to 2025-12-27 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsDec 26, 18:002025-12-27 00:00:00 UTC to 2025-12-27 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-27 06:00:00 UTC to 2025-12-27 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-27 12:00:00 UTC to 2025-12-27 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-27 18:00:00 UTC to 2025-12-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-28 00:00:00 UTC to 2025-12-28 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-28 06:00:00 UTC to 2025-12-28 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-28 12:00:00 UTC to 2025-12-28 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-28 18:00:00 UTC to 2025-12-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-29 00:00:00 UTC to 2025-12-29 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-29 06:00:00 UTC to 2025-12-29 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-29 12:00:00 UTC to 2025-12-29 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-29 18:00:00 UTC to 2025-12-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 29, 18:002025-12-30 00:00:00 UTC to 2025-12-30 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-30 06:00:00 UTC to 2025-12-30 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-30 12:00:00 UTC to 2025-12-30 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-30 18:00:00 UTC to 2025-12-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-31 00:00:00 UTC to 2025-12-31 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-31 06:00:00 UTC to 2025-12-31 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-31 12:00:00 UTC to 2025-12-31 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-31 18:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-01-01 06:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 06:00:00 UTC to 2026-01-01 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 12:00:00 UTC to 2026-01-01 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 18:00:00 UTC to 2026-01-02 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 1, 18:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Dec 26, 18:002025-12-26 18:00:00 UTC2025-12-27 00:00:00 UTC110
Dec 27, 00:002025-12-27 00:00:00 UTC2025-12-27 06:00:00 UTC000
Dec 27, 06:002025-12-27 06:00:00 UTC2025-12-27 12:00:00 UTC000
Dec 27, 12:002025-12-27 12:00:00 UTC2025-12-27 18:00:00 UTC000
Dec 27, 18:002025-12-27 18:00:00 UTC2025-12-28 00:00:00 UTC000
Dec 28, 00:002025-12-28 00:00:00 UTC2025-12-28 06:00:00 UTC000
Dec 28, 06:002025-12-28 06:00:00 UTC2025-12-28 12:00:00 UTC000
Dec 28, 12:002025-12-28 12:00:00 UTC2025-12-28 18:00:00 UTC000
Dec 28, 18:002025-12-28 18:00:00 UTC2025-12-29 00:00:00 UTC000
Dec 29, 00:002025-12-29 00:00:00 UTC2025-12-29 06:00:00 UTC000
Dec 29, 06:002025-12-29 06:00:00 UTC2025-12-29 12:00:00 UTC000
Dec 29, 12:002025-12-29 12:00:00 UTC2025-12-29 18:00:00 UTC000
Dec 29, 18:002025-12-29 18:00:00 UTC2025-12-30 00:00:00 UTC000
Dec 30, 00:002025-12-30 00:00:00 UTC2025-12-30 06:00:00 UTC000
Dec 30, 06:002025-12-30 06:00:00 UTC2025-12-30 12:00:00 UTC000
Dec 30, 12:002025-12-30 12:00:00 UTC2025-12-30 18:00:00 UTC000
Dec 30, 18:002025-12-30 18:00:00 UTC2025-12-31 00:00:00 UTC000
Dec 31, 00:002025-12-31 00:00:00 UTC2025-12-31 06:00:00 UTC000
Dec 31, 06:002025-12-31 06:00:00 UTC2025-12-31 12:00:00 UTC000
Dec 31, 12:002025-12-31 12:00:00 UTC2025-12-31 18:00:00 UTC000
Dec 31, 18:002025-12-31 18:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 1, 00:002026-01-01 00:00:00 UTC2026-01-01 06:00:00 UTC101
Jan 1, 06:002026-01-01 06:00:00 UTC2026-01-01 12:00:00 UTC000
Jan 1, 12:002026-01-01 12:00:00 UTC2026-01-01 18:00:00 UTC000
Jan 1, 18:002026-01-01 18:00:00 UTC2026-01-02 00:00:00 UTC110

What Hacker News says

3 sources

Show HN: 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": "alice@example.com"}, {"id": 2, "name": "Bob", "email": "bob@example.com"} ] } ISON (34 tokens): table.users id:int name:string email 1 Alice alice@example.com 2 Bob bob@example.com Features: - 30-70% token reduction - Type annotations - References between tables - Schema validation (ISONantic) - Streaming format (ISONL) Implementations: Python, JavaScript, TypeScript, Rust, C++ 9 packages, 171+ tests passing pip install ison-py # Parser pip install isonantic # Validation & schem
Read the rest
as npm install ison-parser # JavaScript npm install ison-ts # TypeScript with full types npm install isonantic-ts # Validation & schemas [dependencies] ison-rs = "1.0" isonantic-rs = "1.0" # Validation & schemas Looking for feedback on the format design.
7 points · Open discussion

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