Author-Ity
scout
| Author-Ity | scout | |
|---|---|---|
| 1 | 8 | |
| 0 | 127 | |
| - | - | |
| 10.0 | 4.2 | |
| about 2 years ago | 2 months ago | |
| Swift | Swift | |
| - | MIT License |
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Author-Ity
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Hitting roadblocks when trying to build my own projects
I created a couple of terminal-only apps that focused on just one thing. For example, I created an app that took a few arguments and spit out a Calendar file I could import. As an example, you can have a look at this project of mine that I made to simplify one process we had at work: https://github.com/buresdv/Author-Ity This took out the UI out of the equation, so I could focus on getting the hang of the language itself. I think that if you try to jump headfirst into creating GUI apps right out of the bat, it's a recipe for failure. It's just way too much to take in at once, and you just won't retain all of it.
scout
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Is there a neat way to work with deeply-nested JSON?
I developed a library that is better suited for such cases than plain Decodable. You can specify a path in the data and at the end of the path specify a Decodable type to be instantiated from the data.
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A different way of reading JSON: Part 2!
Not 100% sure but you might find Scout interesting for your needs
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Best practices for parsing dynamic/unstructured JSON?
I developed Scout for this exact purpose because I had to find a solution to get a value when the data structure is not known at build time.
- Scout 2. ;. ;
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Get XML, parse output, get a date and calculate differences?
If you are ok to use a program, you can use Scout like that: curl [your curl request here] | scout read -f xml "a-valid-date"
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Guidance in building a .json config file with bash script.
For a clear and simple syntax, you can take a look at Scout.
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Take that, Codable
I have been working myself on Scout to work on data when the format is not known at build time (for instance with a generic command line tool). And I have never had the tuple decoding requested. Although this might be useful for some people.
What are some alternatives?
TBX-Scope - A ligtweight TBX reader
python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
ZippyZip
jp - Command line interface to JMESPath - http://jmespath.org
ZippyJSON - A much faster version of JSONDecoder
BackedCodable - Powerful property wrapper to back codable properties.
jp - Validate and transform JSON with Bash
EVReflection - Reflection based (Dictionary, CKRecord, NSManagedObject, Realm, JSON and XML) object mapping with extensions for Alamofire and Moya with RxSwift or ReactiveSwift
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
SwiftyJSON - The better way to deal with JSON data in Swift.