dhall-lang
drone
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dhall-lang | drone | |
---|---|---|
113 | 53 | |
4,131 | 29,119 | |
0.5% | - | |
6.0 | 0.0 | |
about 2 months ago | 7 months ago | |
Dhall | Go | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dhall-lang
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Apple releases Pkl – onfiguration as code language
Fail to see how this is any different than Dhall (https://dhall-lang.org/) other than it produces plists too.
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Pkl, a Programming Language for Configuration
Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure:
https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a7...
Now consider 100s (if not 1000s) of such files.
I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone indentation -- since YAML is indentation sensitive) is easily beat by any of:
- https://jsonnet.org/
- https://nickel-lang.org/
- https://nixos.org/manual/nix/stable/language/index.html
- https://dhall-lang.org/
- (insert many more here, probably including Pkl)
- Why the fuck are we templating YAML? (2019)
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Is Htmx Just Another JavaScript Framework?
There are underpowered languages / tools, that can only solve a problem for which they are intended poorly. But not all limited tools are like that.
Say, eBPF is prominently not Turing-complete, which allows to guarantee that a eBPF program terminates, and even how soon. Still eBPF is hugely useful in its area.
Or, say, regular expressions are limited to regular languages; in particular, they famously [1] cannot process recursive structures, like trees. Still tools like grep / ag / rg are mightily useful.
Yes, I agree that YAML is underpowered for proper k8s configuration! But it's also too powerful for its own good in other aspects [2]. I wish Google used Dhall [3] or their own purely functional config language (FCL? I already forgot the name) instead of YAML; sadly, they did not.
[1]: https://stackoverflow.com/a/1732454/223424
[2]: https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-fr...
[3]: https://dhall-lang.org/
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10 Ways for Kubernetes Declarative Configuration Management
Dhall: Dhall is a programmable configuration language that combines features like JSON, functions, types, and import capabilities. Its style leans towards functional programming, so if you're familiar with functional-style languages such as Haskell, you might find Dhall to be quite intuitive.
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Berry is a ultra-lightweight dynamically typed embedded scripting language
I've been thinking along these lines but more 'strongly validated' than statically typed in the sense that you'd be better off being able to load the entire config and then produce a list of problems (and should be able to offer good editor support if done correctly).
Though https://dhall-lang.org/ demonstrates that you can statically type quite a lot of configuration to great advantage, which appears to be programmatically embeddable in multiple languages per https://docs.dhall-lang.org/howtos/How-to-integrate-Dhall.ht...
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What Is the Point of Decidability
> Where practical is in the sense of an engineer (or in their terms, a CS practitioner),
Configuration processing. E.g. I'd like my yamls to be decidable, though I'd settle for guaranteed to halt[1].
[1] https://dhall-lang.org/
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What Is Wrong with TOML?
Maybe you'd like jsonnet: https://jsonnet.org/
I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev).
Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/
A few years ago I did a small comparison by re-implementing one of my simpler ansible playbooks: https://github.com/retzkek/ansible-dhall-jsonnet
- Show HN: FlakeHub – Discover and publish Nix flakes
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Home Blog Better configuration languages – A talk about Dhall [video]
And to checkout Dhall: https://dhall-lang.org/
drone
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SPAC(Special Purpose Acquisition) for Open Source Project
Drone (https://github.com/harness/drone) shell's all codes are deleted and replaced with new project (gitness) to retain Github Stars. What do you think?
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Harness launches Gitness, an open-source GitHub competitor
I went to check on this, and it seems that https://github.com/harness/drone redirects to harness/gitness. I'm now very confused.
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I want my portfolio project on Github to be public to everyone, but I don't want somebody to copy it and use commercially because propably some day I would like to do it myself with this project. What license should I use?
You can check the drone license or sentry license.
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What self-hosted Git server ?
To use github my code would have to leave my server. I can build it myself using woodpecker. I used drone.io till they were bought out and went closed source then migrated to woodpecker-ci
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Is Jenkins still the king?
A lot of people on reddit seem to recommend gitlab, or drone.io, but if you get on indeed and search for jobs there are tens of thousands of posts looking for people who know Jenkins and only a tiny fraction of job listings interested in any other ci framework. Is it worth investing time into anything else? It's my decision and while the other options seem more friendly I don't see any point in learning them if I'm not going to be able to use them in the future.
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How to set up CI for mirror repositories?
I personally use drone CI (https://drone.io) with the DroneExternalConfig plugin (https://github.com/0x1a8510f2/DroneExternalConfig).
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Is self hosted gitlab the best CI/CD option for an IOT project?
Gitea + drone.io is what I am using. Very happy with the solution.
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Selfhosted solutions for developers are bullshit?
No 5000 build limit if you use Gitea/Gogs Ref: https://github.com/harness/drone/blob/master/service/license/load.go
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Gitea 1.18.0
I really should migrate to Gitea + drone.io
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Some tool like drone.io for CD
I'm really embarassed to say that I love docker-compose over K8s for its simplicity & effectiveness.But tools are reallly lacking.drone.io is like a docker-compose.yml. Simple, effictive & beautiful.
What are some alternatives?
cue - CUE has moved to https://github.com/cue-lang/cue
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
jsonnet - Jsonnet - The data templating language
argo-cd - Declarative Continuous Deployment for Kubernetes
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
Concourse - Concourse is a container-based continuous thing-doer written in Go.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
Jenkins - Jenkins automation server
jsonlogic - Go Lang implementation of JsonLogic
GitlabCi
nix-gui - Use NixOS Without Coding
Buildbot - Python-based continuous integration testing framework; your pull requests are more than welcome!