Library to analyze an arbitrary JSON string

This page summarizes the projects mentioned and recommended in the original post on /r/golang

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. cel-go

    Fast, portable, non-Turing complete expression evaluation with gradual typing (Go)

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. quamina

    Home of Quamina, a fast pattern-matching library in Go

  4. GJSON

    Get JSON values quickly - JSON parser for Go

    I’m using GJSON, so far so good!

  5. gojq

    Pure Go implementation of jq

    JQ has a go implementation usable as a library I see. The project looks fairly active https://github.com/itchyny/gojq

  6. expr

    Discontinued Expression language and expression evaluation for Go [Moved to: https://github.com/expr-lang/expr] (by antonmedv)

    I have been using expr (https://github.com/antonmedv/expr) to do something like this for a while. no complains so far.

  7. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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