ratel | hadolint | |
---|---|---|
4 | 25 | |
120 | 9,772 | |
- | 1.5% | |
0.0 | 7.3 | |
over 1 year ago | 10 days ago | |
Nim | Haskell | |
- | GNU General Public License v3.0 only |
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.
ratel
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Nim v2.0 Released
Ones that have not been mentioned so far:
nlvm is an unofficial LLVM backend: https://github.com/arnetheduck/nlvm
npeg lets you write PEGs inline in almost normal PEG notation: https://github.com/zevv/npeg
futhark provides for much more automatic C interop: https://github.com/PMunch/futhark
nimpy allows calling Python code from Nim and vice versa: https://github.com/yglukhov/nimpy
questionable provides a lot of syntax sugar surrounding Option/Result types: https://github.com/codex-storage/questionable
ratel is a framework for embedded programming: https://github.com/PMunch/ratel
cps allows arbitrary procedure rewriting to continuation passing style: https://github.com/nim-works/cps
chronos is an alternative async/await backend: https://github.com/status-im/nim-chronos
zero-functional fixes some inefficiencies when chaining list operations: https://github.com/zero-functional/zero-functional
owlkettle is a declarative macro-oriented library for GTK: https://github.com/can-lehmann/owlkettle
A longer list can be found at https://github.com/ringabout/awesome-nim.
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Where/how do you view and search Nim's docs?
It is! Can be found in the website folder, and it's called gendoc.nim: https://github.com/PMunch/ratel/tree/master/website
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A Cost Model for Nim
which is this great project btw: https://github.com/PMunch/ratel
what happened to that cool landing page you had?
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MicroPython – Python for Microcontrollers
https://github.com/PMunch/ratel
The author of ratel also did a talk on microcontroller programming with Nim for FOSDEM. It doesn't bring up MicroPython, but it does bring up TinyGo and some other alternatives mentioned in this thread.
https://www.youtube.com/watch?v=0dt3icPj8Kk
hadolint
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Cloud Security and Resilience: DevSecOps Tools and Practices
3. Hadolint: https://github.com/hadolint/hadolint Hadolint is a Dockerfile linter that helps you build best practice Docker images, reducing vulnerabilities in your container configurations.
- Dockerfile Linter
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Writing a Minecraft server from scratch in Bash (2022)
To skip the "move your scripts to standalone files" step some devs don't like, consider something like https://github.com/hadolint/hadolint which runs Shellcheck over inline scripts within Containerfiles.
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I reduced the size of my Docker image by 40% – Dockerizing shell scripts
This is neat :)
I love going and making containers smaller and faster to build.
I don't know if it's useful for alpine, but adding a --mount=type=cache argument to the RUN command that `apk add`s might shave a few seconds off rebuilds. Probably not worth it, in your case, unless you're invalidating the cached layer often (adding or removing deps, intentionally building without layer caching to ensure you have the latest packages).
Hadolint is another tool worth checking out if you like spending time messing with Dockerfiles: https://github.com/hadolint/hadolint
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Top 10 common Dockerfile linting issues
With Depot, we make use of two Dockerfile linters, hadolint and a set of Dockerfile linter rules that Semgrep has written to make a bit of a smarter Dockerfile linter.
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hadolint - Dockerfile linter
# Download hadolint wget https://github.com/hadolint/hadolint/releases/download/v2.12.0/hadolint-Linux-x86_64 # Download SHA256 checksum wget https://github.com/hadolint/hadolint/releases/download/v2.12.0/hadolint-Linux-x86_64.sha256 # Validate the checksum sha256sum -c hadolint-Linux-x86_64.sha256 # Make the file executable chmod + ./hadolint-Linux-x86_64 # Rename the file mv hadolint-Linux-x86_64 hadolint
- Haskell Dockerfile Linter
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Is adding a USER best practice?
The most common linter I've seen and used it Hadolint, which does: https://github.com/hadolint/hadolint/wiki/DL3002 I didn't bother checking to see if alternatives also support this as well though.
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Checkmake: Experimental Linter/Analyzer for Makefiles
Some discussion on that here:
https://github.com/koalaman/shellcheck/issues/58
The hadolint project does shell checking for Dockerfiles and it uses shellcheck:
https://github.com/hadolint/hadolint
So the approach is definitely feasible, but you do need a new project and probably it needs to be written in Haskell.
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Dokter: the doctor for your Dockerfiles
how does this compare to something like hadolint?
What are some alternatives?
micropython-numpy - A basic numpy like library for micropython
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
micropython-ulab - a numpy-like fast vector module for micropython, circuitpython, and their derivatives
dockle - Container Image Linter for Security, Helping build the Best-Practice Docker Image, Easy to start
ratel-wai - :honey_pot: Notify Honeybadger about exceptions via a WAI middleware.
docker-bench-security - The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
stan - 🕵️ Haskell STatic ANalyser
pxed - esp32-powered pixel art editor
hlint - Haskell source code suggestions
microkeys - Windows macro using MicroPython as an engine. [WIP]
grype - A vulnerability scanner for container images and filesystems