jfq
specification
jfq | specification | |
---|---|---|
13 | 6 | |
46 | 700 | |
- | 1.6% | |
7.2 | 7.2 | |
6 days ago | 5 days ago | |
JavaScript | Gherkin | |
MIT License | Apache License 2.0 |
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jfq
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How to Use JSON Path
One of the best tools I've found for manipulating JSON via JsonPath syntax is https://jsonata.org
In addition to simple queries that allow you to select one (or multiple) matching nodes, it also provides some helper functions, such as arithmetic, comparisons, sorting, grouping, datetime manipulation, and aggregation (e.g. sum, max, min).
- JSONata: JSON Query and Transformation Language
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SQLite > Magic > SVG Chart
I just discovered JSONata.
- Show HN: DTL: a language and JavaScript lib to transform and manipulate data
- The fastest tool for querying large JSON files is written in Python! (benchmark)
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Show HN: No-code alternative to Retool, Appsmith, Internal, etc.
I agree that once a project gets a bit more complex, these points are very important.
In our low code platform (https://github.com/dashjoin/platform), you end up writing several JSONata (https://jsonata.org/) snippets for ETL, actions, and visualizations.
These can be tested using junit. All changes to the app can be managed and deployed via GitHub. You can check out our sample app:
GitHub: https://github.com/dashjoin/dashjoin-demo
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Trying to only send some attributes between nodes
Learn more at https://jsonata.org/
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JSONiq: The JSON Query Language
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
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Introducing MistQL: A miniature embeddable language for performing computations on JSON-like structures
Another one that comes to mind I've used in grafana https://jsonata.org/
specification
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How to Use JSON Path
Here's a discussion with more comparisons: https://github.com/serverlessworkflow/specification/issues/2...
- FLaNK Stack Weekly 27 March 2023
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No-code or Workflow as code? Better both
Once you have defined the workflow on a diagram, a JSON, following the Serverless workflow specification, is stored in KuFlow. With this specification, we can use all the great tools/libs that are developed.
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Lessons Learned from Developing Serverless Workflow Runtime Implementation
Among workflow languages out there, we choose Serverless Workflow. It's a vendor-neutral, open-source and community-driven workflow ecosystem. The workflow definition can be written in JSON or YAML format. And then there are SDKs available in various programming languanges, like Java, Go, TypeScript, .NET, Python.
- Serverless Workflow Specification
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Temporal - the iPhone of System Design
This example happens to be from Google, but you can compare similar config-driven syntaxes from Argo, Amazon, and Airflow. The bottom line is you ultimately find yourself hand-writing the Abstract Syntax Tree of something you can read much better in code anyway:
What are some alternatives?
gron - Make JSON greppable!
spec - CloudEvents Specification
jmespath.py - JMESPath is a query language for JSON.
gateway - Manages Envoy Proxy as a Standalone or Kubernetes-based Application Gateway
gojq - Pure Go implementation of jq
wg-serverless - CNCF Serverless WG
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
aquarium - AI-controlled Linux Containers
Hacker News API - Documentation and Samples for the Official HN API
smi-spec - Service Mesh Interface
counsel-jq - Traverse complex JSON and YAML structures with live feedback
eu-dcc-hcert-spec - Electronic Health Certificates Specification