JSONiq: The JSON Query Language

• jfq

  13 47 6.9 JavaScript

  JSONata on the command line

if anyone's here looking for javascript-language json query-er, I've been using jsonata. found it deep and well-thought out, and not too hard to get my head around the syntax

https://jsonata.org

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• brackit

  21 46 6.9 Java

  Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.

  

We're working on an implementation for SirixDB with currently a slightly different syntax (for instance "=>" to dereference object fields). We're also supporting all kinds of temporal query enhancements (point in time queries, time travel queries...):

https://github.com/sirixdb/sirix

The query engine used is developed here (core implemented by Sebastian Bächle and his tudents). Ideally the backend can be any other data store as well.

https://github.com/sirixdb/brackit

• gron

  64 13,621 0.0 Go

  Make JSON greppable!

Good points. JSON processing tools I find helpful in addition to JavaScript include Gron aka "grep for JavaScript" ( https://github.com/tomnomnom/gron ), jq for querying, json_pp for pretty-printing and `bat` for syntax highlighting.

• jmespath.py

  30 2,117 0.0 Python

  JMESPath is a query language for JSON.

  

• GROQ

  3 377 3.7 JavaScript

  Specification for GROQ - The Query Language for JSON

  

• sirix

  44 1,090 9.0 Java

  SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.

  

We're working on an implementation for SirixDB with currently a slightly different syntax (for instance "=>" to dereference object fields). We're also supporting all kinds of temporal query enhancements (point in time queries, time travel queries...):

https://github.com/sirixdb/sirix

The query engine used is developed here (core implemented by Sebastian Bächle and his tudents). Ideally the backend can be any other data store as well.

https://github.com/sirixdb/brackit

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