dashjoin-demo
jfq
| dashjoin-demo | jfq | |
|---|---|---|
| 2 | 13 | |
| 0 | 45 | |
| - | - | |
| 6.6 | 7.2 | |
| 14 days ago | 13 days ago | |
| Java | JavaScript | |
| - | MIT License |
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dashjoin-demo
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Experiences with low-code systems (Budibase,Appsmith etc.)?
Disclaimer: I'm the creator of Dashjoin (https://github.com/dashjoin/platform)
Implementing the features you mentioned:
Once you connect your SQL / NoSQL database, you're immediately able to view, query, search, and edit the data. Every record implicitly has a "homepage". On this page, you can add active elements to automate tasks via REST services. We do this using JSONata (jsonata.org) which is a super expressive and concise transformation and query language. You can find some samples in our demo application (https://github.com/dashjoin/dashjoin-demo).
The core philosophy is to get immediate results and refine from there, depending on your cost / benefit calculation.
SDLC:
I think this is a very important point! Even though you're working with low code, it is still a development project with testing, staging, and production, issues, tickets, etc.
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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
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/
What are some alternatives?
jet-bridge - Jet Admin – No-code Business App builder
gron - Make JSON greppable!
jsonapi-serializer - A Node.js framework agnostic library for (de)serializing your data to JSON API
jmespath.py - JMESPath is a query language for JSON.
gojq - Pure Go implementation of jq
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
Hacker News API - Documentation and Samples for the Official HN API
counsel-jq - Traverse complex JSON and YAML structures with live feedback
jmespath-ts - Typescript translation of the jmespath.js package
pxi - 🧚 pxi (pixie) is a small, fast, and magical command-line data processor similar to jq, mlr, and awk.
sirix - 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.
Le Wagon's Setup - Setup instructions for Le Wagon's students on their first day of Web Development Bootcamp