ocaml_webapp
DISCONTINUED
tylr
Our great sponsors
- InfluxDB - Collect and Analyze Billions of Data Points in Real Time
- Onboard AI - Learn any GitHub repo in 59 seconds
- SaaSHub - Software Alternatives and Reviews
| ocaml_webapp | tylr | |
|---|---|---|
| 1 | 5 | |
| 41 | 250 | |
| - | 0.0% | |
| 0.0 | 10.0 | |
| 12 months ago | about 1 year ago | |
| Reason | Reason | |
| MIT License | MIT License |
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.
ocaml_webapp
We haven't tracked posts mentioning ocaml_webapp yet.
Tracking mentions began in Dec 2020.
tylr
-
Implementing Interactive Languages
Not directly related, but this made me think of something I've been interested in recently - structured editors. Instead of tokenizing text and then parsing to an AST, you effectively edit the AST directly.
Since the thrust of the post seems to be about the sum of compilation + run time, it's a potentially more efficient alternative to traditional code editing. Here's an example of one in action:
-
Project Mage is an effort to build a power-user environment in Common Lisp
> eco
The eco article is quite interesting, it's a cool proof-of-concept. I don't know exactly how it compares, but there's also tylr, with an online demo you can check out [1].
> The example of splitting "Hello world" into a list of words is a pretty bad example;
I just wanted to set up some very quick easy-to grasp context with it for the discussion that follows. You are right, of course, the normal editors don't have much trouble with that level of detail. Maybe I will come up with something better later on, though not too complex...
> I'm currently working on knowledge management, which I think you have to split in different subfields;
My view on this is that you can't generally predict that, but what you can do instead is let the user compose the structure and features of custom documents, thus creating custom workflows suitable for the task at hand, whatever it may be. I will be generally taking that approach with Kraken.
> literate programming
I think computational notebooks take the core idea and make it practical, and I think it's fair to say those are literate programs, albeit without the web-tangle aspect.
> Again, good luck etc.
Hey, thanks for the feedback!
What are some alternatives?
styled-ppx - Type-safe styled components for ReScript and Melange with type-safe CSS
fullstack-reason - A demo project that shows a fullstack ReasonML/OCaml app–native binary + webapp
org-roam-ui - A graphical frontend for exploring your org-roam Zettelkasten
agave - 🍯 Sweet simple static site generator
crystal - The Crystal Programming Language
query-json - Faster, simpler and more portable implementation of `jq` in Reason
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
oni2 - Native, lightweight modal code editor
revery - :zap: Native, high-performance, cross-platform desktop apps - built with Reason!
mir - A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter based on MIR