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stripe
skycfg
Go2018–2024
stripe / skycfg

skycfg

Skycfg is an extension library for the Starlark language that adds support for constructing Protocol Buffer messages.

9Distinct people
17Mentions
0Explicit recommenders
676GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Skycfg is an extension library for the Starlark language that adds support for constructing Protocol Buffer messages.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year17 dated mentions

Observed mentions: 2018-12-03 15:12:14 UTC to 2024-06-26 08:46:27 UTC.

02462018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC606
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC404
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202

What Hacker News says

17 sources
I can definitely sympathize here - in every context, just straight JSON/YAML configuration seems never expressive enough, but the tooling created in response always seems to come with sharp edges. Here are some of the things I appreciate about Jsonnet: - It evals to JSON, so even though the semantics of the language are confusing, it is reasonably easy to eval and iterate on some Jsonnet until it emits what one is expecting - and after that, it's easy to create some validation tests so that regressions don't occur. - It takes advantage of the fact that JSON is a lowest-common-denominator for many data serialization formats. YAML is technically a superset of JSON, so valid JSON is also valid YAML. Proto3 messages have a canonical JSON representation, so JSON can also adhere to protobuf schemas. This covers most "serialized data structure"
Read the rest
use-cases I typically encounter (TOML and HCL are outliers, but many tools that accept those also accept equivalent JSON). This means that with a little bit of build-tool duct-taping, Jsonnet can be used to generate configurations for a wide variety of tooling. - Jsonnet is itself a superset of JSON - so those more willing to write verbose JSON than learn Jsonnet can still write JSON that someone else can import/use elsewhere. Using Jsonnet does not preclude falling back to JSON. - The tooling works well - installing the Jsonnet VSCode plugin brings in a code formatter that does an excellent job, and rules_jsonnet[0] provides good bazel integration, if that's your thing. I'm excited about Jsonnet because now as long as other tool authors decide to consume JSON, I can more easily abstract away their verbosity without writing a purpose-built tool (looking at you, Kubernetes) without resorting to text templating (ahem Helm). Jsonnet might just be my "one JSON-generation language to rule them all"! --- Though if Starlark is your thing, do checkout out skycfg[1] [0] - https://github.com/bazelbuild/rules_jsonnet [1] - https://github.com/stripe/skycfg
In Jsonnet – The Data Templating Language
> I really wish they had both just used "a real programming language" right from the start There are currently several options, like https://github.com/stripe/skycfg > Why are so few configuration languages not backed by a real language? There are tons of tools that work with YAML/JSON but I imagine you mean more like a first-class citizen programming language specific or good at writing static configuration. The other side of the coin is that configuration in many cases have a different audience than programmers (for ex, end users or operations team) and it's a good option to have static configuration key=value than any human can (more or less) read easily without having to run programming code in your head. Plus programming, besides being harder to read and share, introduces bugs. So I suppose the preference between code writing config
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uration and stand-alone configuration depends on who the consumer is and how complex the configuration is.
In Validating Kubernetes YAML for best practice and policies
For kubernetes thats absolutely true and I think more people should do that (disclaimer I work with this https://github.com/stripe/skycfg daily). I think it actually would be easier for people to understand the k8s system if they did. But, yaml is now everywhere in the ops space. Config management systems use it, metrics systems use it, its the defacto configuration format right now and that is unfortunate cause its bad.
In Why is Kubernetes getting so popular?

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