nbb
dafny
nbb | dafny | |
---|---|---|
48 | 32 | |
808 | 2,763 | |
0.5% | 4.4% | |
7.8 | 9.7 | |
18 days ago | 5 days ago | |
Clojure | C# | |
Eclipse Public License 1.0 | GNU General Public License v3.0 or later |
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.
nbb
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Embeddable Common Lisp 23.9.9
The SCI/babashka clojure interpreter might be a good fit, if you're ok with a lisp.
It's mature and fully sandboxed.
https://github.com/babashka/nbb
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create-helix-app: project templates with Helix and more
To try it out, run npx create-helix-app in your terminal. It is powered by Nbb, Ink, and Helix itself!
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Releasing Longdown: Convert longform markdown files to outline format used by Logseq
Thanks for building! May also want to share in #extension-news in discord to reach more users. Fwiw, you might be able to write the whole script without the need for compilation with https://github.com/babashka/nbb. You may also be interested in https://github.com/logseq/nbb-logseq as a fair amount of logseq core is scriptable
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Administrative Scripting with Julia
I wish there was something elaborated for scripts that run on Node. I've been using nbb[1] for scripting, and although it all runs through Node.js, it is fast and quick to prototype scripts. The best part is in CI I can simply `npx nbb path/to/script.cljs`. Things get clunky if I want to use anything about of the Node stdlib though, since then you need the dreaded node_modules folder around.
[1] https://github.com/babashka/nbb
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I'm considering moving from Clojure to Common Lisp
For clojure I just found for babashka it seems someone natively compiled jsoup with graalvm and exposed (minimal functionality from it) as a babashka pod, or a possibility would be use nbb like babashka for node. But if racket has the libraries you need and you don't need js/jvm ecosystem than I'm sure it'll be great also
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Is anyone using Shadow on the backend ?
There are some folks using nbb on the backend as well: https://github.com/babashka/nbb, e.g. in AWS Lambdas or via the sitefox framework: https://github.com/chr15m/sitefox. Don't expect stellar performance from nbb since it's interpreted CLJS rather than compiled (as you have with shadow-cljs) but for small scoped projects and fast prototyping it might be ok.
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What's the best lisp to js compiler
https://github.com/babashka/nbb (babashka for nodejs)
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nbb: I'm confused how to include dependencies from Clojars
I tried reproducing this example from the nbb documentation.
- nbb, scripting for Clojure on Node.js, turns 1.0!
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i am so ANGRY with Clojure community
If you don't want to deal with the tooling but want to practice the language, have a look at https://github.com/babashka/nbb
dafny
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Verified Rust for low-level systems code
For those that are interested but perhaps not aware in this similar project, Dafny is a "verification-aware programming language" that can compile to rust: https://github.com/dafny-lang/dafny
- Dafny is a verification-aware programming language
- Candy – a minimalistic functional programming language
- Dafny – a verification-aware programming language
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Lean4 helped Terence Tao discover a small bug in his recent paper
Code correctness is a lost art. I requirement to think in abstractions is what scares a lot of devs to avoid it. The higher abstraction language (formal specs) focus on a dedicated language to describe code, whereas lower abstractions (code contracts) basically replace validation logic with a better model.
C# once had Code Contracts[1]; a simple yet powerful way to make formal specifications. The contracts was checked at compile time using the Z3 SMT solver[2]. It was unfortunately deprecated after a few years[3] and once removed from the .NET Runtime it was declared dead.
The closest thing C# now have is probably Dafny[4] while the C# dev guys still try to figure out how to implement it directly in the language[5].
[1] https://www.microsoft.com/en-us/research/project/code-contra...
[2] https://github.com/Z3Prover/z3
[3] https://github.com/microsoft/CodeContracts
[4] https://github.com/dafny-lang/dafny
[5] https://github.com/dotnet/csharplang/issues/105
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The Deep Link Equating Math Proofs and Computer Programs
I don't think something that specific exists. There are a very large number of formal methods tools, each with different specialties / domains.
For verification with proof assistants, [Software Foundations](https://softwarefoundations.cis.upenn.edu/) and [Concrete Semantics](http://concrete-semantics.org/) are both solid.
For verification via model checking, you can check out [Learn TLA+](https://learntla.com/), and the more theoretical [Specifying Systems](https://lamport.azurewebsites.net/tla/book-02-08-08.pdf).
For more theory, check out [Formal Reasoning About Programs](http://adam.chlipala.net/frap/).
And for general projects look at [F*](https://www.fstar-lang.org/) and [Dafny](https://dafny.org/).
- Dafny
- The Dafny Programming and Verification Language
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In Which I Claim Rich Hickey Is Wrong
Dafny and Whiley are two examples with explicit verification support. Idris and other dependently typed languages should all be rich enough to express the required predicate but might not necessarily be able to accept a reasonable implementation as proof. Isabelle, Lean, Coq, and other theorem provers definitely can express the capability but aren't going to churn out much in the way of executable programs; they're more useful to guide an implementation in a more practical functional language but then the proof is separated from the implementation, and you could also use tools like TLA+.
https://dafny.org/
https://whiley.org/
https://www.idris-lang.org/
https://isabelle.in.tum.de/
https://leanprover.github.io/
https://coq.inria.fr/
http://lamport.azurewebsites.net/tla/tla.html
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Programming Languages Going Above and Beyond
> I think we can assume it won't be as efficient has hand written code
Actually, surprisingly, not necessarily the case!
If you'll refer to the discussion in https://github.com/dafny-lang/dafny/issues/601 and in https://github.com/dafny-lang/dafny/issues/547, Dafny can statically prove that certain compiler branches are not possible and will never be taken (such as out-of-bounds on index access, logical assumptions about whether a value is greater than or less than some other value, etc). This lets you code in the assumptions (__assume in C++ or unreachable_unchecked() under rust) that will allow the compiler to optimize the codegen using this information.
What are some alternatives?
babashka - Native, fast starting Clojure interpreter for scripting
tlaplus - TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.
babashka-sql-pods - Babashka pods for SQL databases
FStar - A Proof-oriented Programming Language
clojure - The Clojure programming language
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
deps.clj - A faithful port of the clojure CLI bash script to Clojure
koka - Koka language compiler and interpreter
dbcore - Generate applications powered by your database.
Rust-for-Linux - Adding support for the Rust language to the Linux kernel.
integrant - simplified integrant
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.