MicroHs
calysto_scheme
| MicroHs | calysto_scheme | |
|---|---|---|
| 2 | 4 | |
| 241 | 265 | |
| - | 1.5% | |
| 9.9 | 7.9 | |
| 16 days ago | 8 months ago | |
| Haskell | Scheme | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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MicroHs
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How to Write a (Lisp) Interpreter (In Python)
> expand into lambda calculus statement that could then be compiled down to different sets of combinators
This approach can be reasonably efficient for implementing Haskell, as shown in [1] and the much more concise [2].
[1] https://github.com/augustss/MicroHs
[2] https://crypto.stanford.edu/~blynn/compiler/
- MicroHs: Haskell Implemented with Combinators
calysto_scheme
- How to Write a (Lisp) Interpreter (In Python)
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Ask HN: What's the best Lisp for a Python hobbyist looking to learn?
Oh God, Newlisp. Don't worry about that. Start with Common Lisp. It's probably the most Pythonic in that it's built for building real applications in. SBCL is the open source implementation everyone seems to favor.
Runners up are Racket and Guile.
The "Lisps in Python" (like Hy and Hissp) are nice, but they're not very Lispy. More like Python with sexpr syntax. I recommend Calysto Scheme for messing around: https://github.com/Calysto/calysto_scheme
It's slow, but it's full Scheme.
- Lisp-Stick on a Python
- Calysto Scheme: a Scheme written in Scheme and translated into Python
What are some alternatives?
hy - A dialect of Lisp that's embedded in Python
microKanren - The implementation of microKanren, a featherweight relational programming language
ferret - Ferret is a free software lisp implementation for real time embedded control systems.
nyxt - Nyxt - the hacker's browser.
fe - A tiny, embeddable language implemented in ANSI C
py4cl - Call python from Common Lisp
fakelisp - Lisp as a Python module (don't take it seriously though)
makelisp - Lisp implementation in GNU make
beflisp - Lisp implementation in Befunge
bflisp - C compiler and Lisp interpreter in Brainfuck