femtolisp
Vacietis
Our great sponsors
femtolisp | Vacietis | |
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10 | 7 | |
1,550 | 294 | |
- | - | |
0.0 | 0.0 | |
about 4 years ago | almost 2 years ago | |
Scheme | Common Lisp | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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femtolisp
- Petalisp: Elegant High Performance Computing
- fe: A tiny, embeddable language implemented in ANSI C
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From Common Lisp to Julia
> In short, Julia is very similar to Common Lisp, but brings a lot of extra niceties to the table
This probably because Jeff Bezanson, the creator of Julia, created a Lisp prior to Julia, which I think still exists inside Julia in some fashion
https://github.com/JeffBezanson/femtolisp
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Modern Python Performance Considerations
Well let's flip this around: do you think you could write a performant minimal Python in a weekend? Scheme is a very simple and elegant idea. Its power derives from the fact that smart people went to considerable pains to distill computation to limited set of things. "Complete" (i.e. rXrs) schemes build quite a lot of themselves... in scheme, from a pretty tiny core. I suspect Jeff Bezanson spent more than a weekend writing femtolisp, but that isn't really important. He's one guy who wrote a pretty darned performant lisp that does useful computation as a passion project. Check out his readme; it's fascinating: https://github.com/JeffBezanson/femtolisp
You simply can't say these things about Python (and I generally like Python!). It's truer for PyPy, but PyPy is pretty big and complex itself. Take a look at the source for the scheme or scheme-derived language of your choice sometime. I can't claim to be an expert in any of what's going on in there, but I think you'll be surprised how far down those parens go.
The claim I was responding to asserted that lisps and smalltalks can only be fast because of complex JIT compiling. That is trueish in practice for Smalltalk and certainly modern Javascript... but it simply isn't true for every lisp. Certainly JIT-ed lisps can be extremely fast, but it's not the only path to a performant lisp. In these benchmarks you'll see a diversity of approaches even among the top performers: https://ecraven.github.io/r7rs-benchmarks/
Given how many performant implementations of Scheme there are, I just don't think you can claim it's because of complex implementations by well-resourced groups. To me, I think the logical conclusion is that Scheme (and other lisps for the most part) are intrinsically pretty optimizable compared to Python. If we look at Common Lisp, there are also multiple performant implementations, some approximately competitive with Java which has had enormous resources poured into making it performant.
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CppCast: Julia
While it uses an Algol inspired syntax, it has the same approach to OOP programing as CLOS(Common Lisp Object System), with multi-methods and protocols, it has a quite powerfull macro system like Lisp, similar REPL experience, and underneath it is powerered by femtolisp.
- Julia and the Incarceration of Lisp
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What is the smallest x86 lisp?
For a real answer, other replies have already mentioned KiloLisp, but there's also femtolisp. Also, not exactly what you're asking for, but Maru is a very compact and elegant self-hosting lisp (compiles to x86).
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lisp but small and low level?Does it make sense?
Take a look at femtolisp It has some low level features and is quite small. There is also a maintenance fork at lambdaconservatory
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Lispsyntax.jl: A Clojure-like Lisp syntax for julia
A fun Julia easter egg I recently discovered.
Running 'julia --lisp' launches a femtolisp (https://github.com/JeffBezanson/femtolisp) interpreter.
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Wisp: A light Lisp written in C++
Reminds me of the femtolisp README :)
Almost everybody has their own lisp implementation. Some programmers' dogs and cats probably have their own lisp implementations as well. This is great, but too often I see people omit some of the obscure but critical features that make lisp uniquely wonderful. These include read macros like #. and backreferences, gensyms, and properly escaped symbol names. If you're going to waste everybody's time with yet another lisp, at least do it right damnit.
https://github.com/JeffBezanson/femtolisp
Vacietis
- List of (open source) C compilers
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Rust's Poor Composability
Yes. Not because of the developer, but because of how extremely flexible and dynamic the Lisp-family languages are. The power and joy of Lisp is in how it's almost a meta-language, so every project can become its own EDSL. The most famous (infamous?) example of this is Vacietis[2], which is a Common Lisp library that allows C code to be imported directly(!!).
[0] IIRC the Yesod framework's Warp does well on benchmarks, and when you look at code like https://github.com/yesodweb/wai/blob/master/warp/Network/Wai... you can see the lengths they had to go through to work around the choice of implementation language.
[1] Go has a garbage collector, but exposes the stack/heap distinction more directly than Haskell, so it's easier to write allocation-free code in hot paths.
[2] https://github.com/vsedach/Vacietis
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Any attempts at a "distro"/"package manager" for building a programming language?
racket and common lisp both offer reader interfaces which allow parsing non-s-expression languages. see https://github.com/vsedach/Vacietis , a c compiler implemented in common lisp which uses the common lisp reader.
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C to php converter online
Very funny. One might be interested in e.g. Vacietis which does manage to compile enough of C correctly to a higher level language (in this case, Common Lisp) to be interesting.
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CLOG Needs You :)
https://github.com/vsedach/Vacietis - C in CL
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Compiler in Lisp
C
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Wisp: A light Lisp written in C++
How about C?
https://news.ycombinator.com/item?id=25531871
https://github.com/vsedach/Vacietis
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Vacietis is a C compiler for Common Lisp systems.
Vacietis works by loading C code into a Common Lisp runtime as though
What are some alternatives?
small-lisp - A very small lisp interpreter, that I may one day get working on my 8-bit AVR microcontroller.
foth - Tutorial-style FORTH implementation written in golang
julia - The Julia Programming Language
yale-haskell - HASKELL: Yale Haskell system written in Lisp
Carp - A statically typed lisp, without a GC, for real-time applications.
sectorlisp - Bootstrapping LISP in a Boot Sector
Fennel - Lua Lisp Language
quilc - The optimizing Quil compiler.
clog - CLOG - The Common Lisp Omnificent GUI
hissp - It's Python with a Lissp.
wisp - A lisp👽 written in C++