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Agda might be a bit more popular than Steel Bank Common Lisp. We know about 7 links to it since March 2021 and only 5 links to Steel Bank Common Lisp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Still, there are many useful tools based on these ideas, used by programmers and mathematicians alike. What you describe sounds rather like Datalog (e.g. Soufflé Datalog), where you supply some rules and an initial fact, and the system repeatedly expands out the set of facts until nothing new can be derived. (This has to be finite, if you want to get anywhere.) In Prolog (e.g. SWI Prolog) you also supply a set of... Source: 10 months ago
Haskell and Agda are probably the most obvious examples. Ocaml too, but it is much older, so its type system is not as categorical. There is also Idris, which is not as well-known but is very cool. Source: 11 months ago
Coq, Agda, Lean, Isabelle, and probably some others which are not coming to my mind at the moment, but those would be considered the major ones. Source: over 1 year ago
Safer doesn't mean better. You could proof program correctness, and get proven program with tools like Coq (https://news.ycombinator.com/) and Agda (https://wiki.portal.chalmers.se/agda/pmwiki.php). However, it leads to much higher cost of creating software than both C++ and Rust. It's a trade-off. A great thing about Rust is that the safety costs very little compared to Coq and Agda. Source: over 1 year ago
At the most extreme level, you disappear into a meditative solitary retreat for a couple of years to seek enlightenment, and when you emerge you're no longer a programmer who writes programs, you're a theorist who proves theorems in Agda, and you have transcended above things that are tainted by the inherent evil of the material plane like "side effects" and "business needs" and "delivery timelines" and "could you... Source: almost 2 years ago
Tangential: if we're talking Lisp and native code speed, Steel Bank Common Lisp (by default) compiles everything to machine code. [0] https://sbcl.org. - Source: Hacker News / 8 months ago
Q5: Get http://sbcl.org/. Install https://quicklisp.org/. SBCL is the implementation that's the lowest friction, and Quicklisp is a package manager that's almost* painless. Source: 12 months ago
That is what we do in Lisp. Try sbcl if you haven't tried it yet. Source: about 1 year ago
I want to add the sbcl-doc subpackage (the manual for SBCL in GNU Info format), but first I need to understand how to write package definitions. As far as I understand there are the "templates" which are shell scripts that describe how a package is to be built and installed, and xbps-src is a shell script which can process these templates to actually carry out the work. Source: over 2 years ago
> Lisp looks like Python, that's far from C, and usually it's a "interpreted" language, far from machine the currently most popular Common Lisp implementation is based around an optimizing native code compiler. That compiler has its roots in the early 80s. See https://sbcl.org . It's far away from being 'interpreted'. - Source: Hacker News / almost 3 years ago
Coq - Coq is a proof assistant, which allows you to write mathematical proofs in a rigorous and formal...
Hy - Hy is a wonderful dialect of Lisp that’s embedded in Python.
Isabelle - Isabelle is a proof assistant for writing and checking mathematical proofs by computer.
CMU Common Lisp - CMUCL is a high-performance, free Common Lisp implementation.
Lean - Clean up your Live Photos
CLISP - CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible.