Dixy
jsonschema-key-compression
Dixy | jsonschema-key-compression | |
---|---|---|
3 | 1 | |
28 | 95 | |
- | - | |
10.0 | 8.9 | |
about 7 years ago | 5 days ago | |
Swift | TypeScript | |
- | Apache License 2.0 |
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Dixy
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JSON vs. XML with Douglas Crockford
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
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Internet Object – A JSON alternative data serialization format
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
jsonschema-key-compression
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Internet Object – A JSON alternative data serialization format
So the plain data is smaller because some information comes from the schema instead of the object. Guess what, you can do the same with json already [1]
[1] https://github.com/pubkey/jsonschema-key-compression
What are some alternatives?
zed - Rethinking code editing.
hujson - HuJSON: JSON for Humans (JWCC: JSON w/ comments and trailing commas)
react-jsonschema-form - A React component for building Web forms from JSON Schema.
edn - Extensible Data Notation
quicktype - Generate types and converters from JSON, Schema, and GraphQL
json5 - JSON5 — JSON for Humans
zed - A novel data lake based on super-structured data
schema-nozzle - json-schema generate from typescript interface and type alias, class, enum
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks