starlark
| yaml-reference-parser | starlark | |
|---|---|---|
| 1 | 22 | |
| 33 | 2,238 | |
| - | 1.9% | |
| 0.0 | 4.1 | |
| 11 months ago | 4 days ago | |
| CoffeeScript | Starlark | |
| - | Apache License 2.0 |
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yaml-reference-parser
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YAML: It's Time to Move On
> There's no canonical YAML implementation
The formal grammar counts as canonical and several implementations are derived from it: https://github.com/yaml/yaml-reference-parser
starlark
- (The) Starlark Language
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Apple releases Pkl – onfiguration as code language
The implementations and users page mentioned above:
https://github.com/bazelbuild/starlark/blob/master/users.md
- Language design of Starlark (compared to Python)
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10 Ways for Kubernetes Declarative Configuration Management
Starlark: Starlark is a language for describing build transformations, inspired by Python, but with features that make it suitable for embedding in software like Bazel. It can be used for configuration generation due to its capability for deterministic evaluation and expressing complex build transformations.
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How Big Should a Programming Language Be?
In the design of Starlark (https://github.com/bazelbuild/starlark), I often had to push back against new feature requests to keep the language simple. I explicitly listed simplicity as a design goal.i
Of course, the scope of the language is not the same as general purpose languages, but there's always pressure from the users to add more things. I also think many people underestimate the cost of adding new features: it's not just about adding the code in every compiler/interpreter, specifying every edge-case in a spec, updating all the tooling for the language and writing tutorials; it's also a cost on everyone who will have to read any of the code.
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Launch HN: Moonrepo (YC W23) – Open-source build system
one of the benefits of starlark (unlike python): "Starlark is suitable for use in highly parallel applications. An application may invoke the Starlark interpreter concurrently from many threads, without the possibility of a data race, because shared data structures become immutable due to freezing." from https://github.com/bazelbuild/starlark/blob/master/spec.md - it's not python, you can't do recursion (!) and it's more limited (you can't read a file in bazel, and parse it, you have to make this operation into the graph somehow)
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When to use Bazel?
You can do the same in Bazel which uses Starlark for its BUILD files. Starlark is a dialect of Python so it makes it super easy to work with.
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[P] Docker alternative for AI/ML
Make sense. We do not use Python actually, the build language is starlark, which is the config lang used by bazel. https://github.com/bazelbuild/starlark
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The Dhall Configuration Language
Have you seen Starlark? It's not too far from that, but safer in a number of ways: https://github.com/bazelbuild/starlark
- What change should Python 4 bring, in your opinion?
What are some alternatives?
ron - Rusty Object Notation
dhall - Maintainable configuration files
typescript-json-schema - Generate json-schema from your Typescript sources
dhall-kubernetes - Typecheck, template and modularize your Kubernetes definitions with Dhall
nestedtext - Human readable and writable data interchange format
starlark-go - Starlark in Go: the Starlark configuration language, implemented in Go
openapi-python-client - Generate modern Python clients from OpenAPI
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
cdk8s - Define Kubernetes native apps and abstractions using object-oriented programming
cue - CUE has moved to https://github.com/cue-lang/cue
VecStack - A stack-based language for drawing vector graphics