hujson VS Dixy

Compare hujson vs Dixy and see what are their differences.

hujson

HuJSON: JSON for Humans (JWCC: JSON w/ comments and trailing commas) (by tailscale)

Dixy

Data format based on dictionaries (by kuyawa)
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hujson Dixy
10 3
564 28
0.9% -
0.0 10.0
6 months ago about 7 years ago
Go Swift
BSD 3-clause "New" or "Revised" License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

hujson

Posts with mentions or reviews of hujson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-23.

Dixy

Posts with mentions or reviews of Dixy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-06.
  • JSON vs. XML with Douglas Crockford
    4 projects | news.ycombinator.com | 6 Apr 2023
    I remember one time designing the simplest and most readable data format ever and came up with this https://github.com/kuyawa/Dixy after removing all I could and still make it usable

    I'm leaving it here because it will never be used for anything but at least it may inspire somebody design a better format with simplicity in mind

  • Dixy: Data Format Based on Dictionaries
    1 project | news.ycombinator.com | 24 Oct 2021
  • Internet Object – A JSON alternative data serialization format
    6 projects | news.ycombinator.com | 24 Oct 2021
    YAML and its "Arrays" are really broken. The problem I see with Internet Object is that it's also implying this kind of mechanism.

    Every time I read about new formats, they seem to get either the 1-n relations or the n-n relations implemented well, but not both. I guess that's what's so hard about map/reduce...

    Regarding YAML: somebody on HN mentioned his project DIXY a couple years ago, and it's much much _much_ easier to parse than YAML. [1] I'm using this over YAML pretty much everywhere now.

    [1] https://github.com/kuyawa/Dixy

What are some alternatives?

When comparing hujson and Dixy you can also consider the following projects:

zed - A novel data lake based on super-structured data

zed - Rethinking code editing.

jsonschema-key-compression - Compress json-data based on its json-schema while still having valid json

edn - Extensible Data Notation

set - Package set is a small wrapper around the official reflect package that facilitates loose type conversion and assignment into native Go types.

json5 - JSON5 — JSON for Humans

simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

proposal-json-superset - Proposal to make all JSON text valid ECMA-262