tweetnacl | hissp | |
---|---|---|
2 | 29 | |
21 | 331 | |
- | - | |
0.0 | 9.1 | |
about 7 years ago | 3 months ago | |
C | Python | |
MIT License | Apache 2.0 |
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.
tweetnacl
-
Why Lisp? (2015)
Because that product was an embedded system running on a very small SoC. It only had 1MB of flash and 192k of SRAM. It's theoretically possible to run CL on a system that small -- Coral Common Lisp ran on a Mac Plus with 1MB of RAM back in the 1980s -- but nothing off-the-shelf will do that today.
(I did, however, put a little Scheme interpreter on it as an easter egg :-)
I do have some CL code that supports the crypto project. The back-end for this:
https://stage.sc4.us/sc4/sc4tk.html
is written in CL (though all the actual encryption is done client-side in Javascript). I also have some prototype crypto code that I don't really use for anything, including this double-ratchet implementation:
https://github.com/rongarret/tweetnacl/blob/master/ratchet.l...
and some elliptic curve code:
http://www.flownet.com/ron/lisp/djbec.lisp
-
Teaching Compilers Backward
Of course. There are many. Any binary format. Any ASN.1 format. DEF and LEF for hardware descriptions. The output of mysqldump.
Here's another example:
https://github.com/rongarret/tweetnacl/blob/master/ratchet.l...
starting at line 82. (That's one that I designed.)
hissp
- Hissp
-
2 line tic tac toe
Hissp is a Python library that can compile a whole program into one Python expression.
-
What's the most hilarious use of operator overloading you've seen?
If you want Python to be as customizable as Lissp, check out Hissp (and Hebigo).
-
Pythoneers here, what are some of the best python tricks you guys use when progrmming with python
Hissp is really cool for metaprogramming Python. There's also macropy, but it's harder to use.
-
Lush – Lisp-like language for deep learning designed by Yann LeCun
I prefer https://github.com/gilch/hissp, where Hy has to use shims to pretend statements are expressions, Hissp just targets the expression subset in the first place. (though as you mentioned, hy has a lot of literature and support around it, where as you're going to have to find your own way around hissp)
-
A Python-compatible statically typed language erg-lang/erg
No shortage of options, e.g. Dg, Mochi, Coconut, and Hebigo (based on Hissp[1]).
[1]: https://github.com/gilch/hissp
-
Other than having a wider range of libraries and beingthus being more "general purpose" and "practical" is there anything that makes Python an intrinsically better programming language than Lisp?
If you want Lisp metaprogramming plus Python ecosystem, check out Hissp
- Lisp.py
-
What are some amazing, great python external modules, libraries to explore?
Hissp is really interesting. Read through the docs and you'll understand Python more deeply. It works well with Toolz and Pyrsistent.
- Why Hy?
What are some alternatives?
LoopVectorization.jl - Macro(s) for vectorizing loops.
hy - A dialect of Lisp that's embedded in Python
cl4py - Common Lisp for Python
hy-lisp-python - examples for my book "A Lisp Programmer Living in Python-Land: The Hy Programming Language"
lang
libpython-clj - Python bindings for Clojure
awesome-compilers - :sunglasses: Curated list of awesome resources on Compilers, Interpreters and Runtimes
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
aws-api - AWS, data driven
femtolisp - a lightweight, robust, scheme-like lisp implementation
bel - An interpreter for Bel, Paul Graham's Lisp language
incanter - Clojure-based, R-like statistical computing and graphics environment for the JVM