cl-lsp
DifferentialEquations.jl
Our great sponsors
cl-lsp | DifferentialEquations.jl | |
---|---|---|
13 | 6 | |
200 | 2,756 | |
- | 1.6% | |
0.0 | 7.2 | |
about 1 year ago | 21 days ago | |
TypeScript | Julia | |
MIT License | 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.
cl-lsp
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Show HN: Common Lisp Vim Compiler Plug-In
How this compares to using cl-lsp[1] with Neovim?
[1]: https://github.com/cxxxr/cl-lsp
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Lisp language server
Does this count? https://github.com/cxxxr/cl-lsp
- Common Lisp language server?
- Emacs-like editors written in Common Lisp
- From Common Lisp to Julia
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A Road to Common Lisp (2018)
It's a great article. Since then, we have more tools and resources so we can enhance it:
Pick and Editor
The article is right that you can start with anything. Just `load` your .lisp file in the REPL. But even in Vim, Sublime Text, and Atom [and also VSCode] you can get pretty good to very good support. See https://lispcookbook.github.io/cl-cookbook/editor-support.ht... (also Lem, a CL editor that works for other languages, Jupyter notebooks, Eclipse (basic support) and LispWorks (proprietary, advanced graphical tools).
> if anyone is interested in making a Common Lisp LSP language server, I think it would be a hugely useful contribution to the community.
Here's a new project used for VSCode: https://github.com/nobody-famous/alive-lsp There's also https://github.com/cxxxr/cl-lsp
Other resources
I already linked to it, but the Cookbook (to which I contribute) is a useful reference to see code and get things done, quickly. https://lispcookbook.github.io/cl-cookbook/
While I'm at it, my first shameless plug: after my tutorials written for the Cookbook and my blog, I wanted to do more. Explain, structure, demo real-world Common Lisp. I'm creating this course (there are some free videos): https://www.udemy.com/course/common-lisp-programming/?coupon... (ongoing -50% coupon for June).
Web Development
See the Cookbook, and the awesome list (see below). We have many libraries, you still have to code for things taken for granted in other big frameworks. I have some articles on my blog.
We have new very cool kids in town, especially CLOG, that is like a GUI for the browser. Check it out: https://github.com/rabbibotton/clog
Game Development
See again the awesome-cl list. And the Kandria game, in the making, all done in CL: https://kandria.com/ (it just got accepted for a Swiss grant, congratulations).
Unit Testing
We have even more test frameworks since 2018! And some are actually good O_o
Projects
To create a full-featured CL project in one command, look no further, here's my (shameless plug again) project skeleton: https://github.com/vindarel/cl-cookieproject you'll find the equivalent for a web project, lighter alternatives in the README, and a demo video: https://www.youtube.com/watch?v=XFc513MJjos&feature=youtu.be
Libraries
He doesn't mention this list, what a shame: https://github.com/CodyReichert/awesome-cl => the CL ecosystem is probably bigger than you thought. Sincerely, only recently, great packages appeared: CLOG, cl-gserver (actors concurrency), 40ants-doc, official CL support on OVH through Platform.sh, great editor add-ons (Slite test runner, Slime-star modules…), Coalton 1.0 (Haskell-like ML on top of CL), April v1.0 (APL in CL), a Qt 5 "library" (still hard to install), many more… (Clingon CLI args parser, Lish, a Lisp Shell in the making, the Consfigurator deployment service, generic-cl)…
His list is OK, I'd pick another HTTP client and another JSON library (new ones since 2018 too), but that's a detail.
BTW, see also a list of companies: https://github.com/azzamsa/awesome-lisp-companies/
Community
We are also on Discord: https://discord.gg/hhk46CE and on Libera Chat.
Implementations
CLASP (CL for C++ on LLVM) reached its v1.0, congrats. https://github.com/clasp-developers/clasp/releases/tag/1.0.0
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is CLISP still recommended to use ?
If you’re already a vs-code user, then I get that. And the facilities do exist to do Common Lisp in vs-code: https://github.com/cxxxr/cl-lsp
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Common lisp LSP. Why there is no such a thing?
Third hit on DuckDuckGo https://github.com/cxxxr/cl-lsp
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Why there is no new "modern" (Common) Lisp IDE?
You mean like cl-lsp, or the Alive Visual Studio Code extension? These are admittedly works in progress, but I'm sure you'd be very welcome to contribute since you care so much about it!
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Common Lisp Study Group : Introduction to ASDF
By the way, there is already https://github.com/cxxxr/cl-lsp that provides some LSP support for Common Lisp. I believe there is no need to support LSP from asdf side ... you just need to write a bridge for it. I know the author personally and since he surely does not use VS code himself, I don't know that was his motivation in making this one.
DifferentialEquations.jl
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Startups are building with the Julia Programming Language
This lists some of its unique abilities:
https://docs.sciml.ai/DiffEqDocs/stable/
The routines are sufficiently generic, with regard to Julia’s type system, to allow the solvers to automatically compose with other packages and to seamlessly use types other than Numbers. For example, instead of handling just functions Number→Number, you can define your ODE in terms of quantities with physical dimensions, uncertainties, quaternions, etc., and it will just work (for example, propagating uncertainties correctly to the solution¹). Recent developments involve research into the automated selection of solution routines based on the properties of the ODE, something that seems really next-level to me.
[1] https://lwn.net/Articles/834571/
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From Common Lisp to Julia
https://github.com/SciML/DifferentialEquations.jl/issues/786. As you could see from the tweet, it's now at 0.1 seconds. That has been within one year.
Also, if you take a look at a tutorial, say the tutorial video from 2018,
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When is julia getting proper precompilation?
It's not faith, and it's not all from Julia itself. https://github.com/SciML/DifferentialEquations.jl/issues/785 should reduce compile times of what OP mentioned for example.
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Julia 1.7 has been released
Let's even put raw numbers to it. DifferentialEquations.jl usage has seen compile times drop from 22 seconds to 3 seconds over the last few months.
https://github.com/SciML/DifferentialEquations.jl/issues/786
- Suggest me a Good library for scientific computing in Julia with good support for multi-core CPUs and GPUs.
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DifferentialEquations compilation issue in Julia 1.6
https://github.com/SciML/DifferentialEquations.jl/issues/737 double posted, with the answer here. Please don't do that.
What are some alternatives?
clede
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ctags - A maintained ctags implementation
diffeqpy - Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
alive-lsp - Language Server Protocol implementation for use with the Alive extension
Gridap.jl - Grid-based approximation of partial differential equations in Julia
lem-opengl - OpenGL frontend for the Lem text editor
ApproxFun.jl - Julia package for function approximation
roswell - intended to be a launcher for a major lisp environment that just works.
DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
doc - Flexible documentation generator for Common Lisp projects.
FFTW.jl - Julia bindings to the FFTW library for fast Fourier transforms