Franklin.jl
cocalc
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Franklin.jl | cocalc | |
---|---|---|
5 | 4 | |
925 | 1,112 | |
- | 1.1% | |
6.6 | 10.0 | |
4 days ago | 6 days ago | |
Julia | TypeScript | |
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.
Franklin.jl
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Math on GitHub: Following Up
A few weeks ago I discovered Franklin.jl ([0], [1]). It has direct KaTeX support and I've been pleased with the results. There is no need for adding or tweaking things unlike Jekyll or Hugo. And KaTeX is faster than MathJax in general.
[0] https://0x0f0f0f.github.io/blog/newblog/
[1] https://franklinjl.org/
- Building Static Websites in Julia
- Franklin: A static site generator in Julia
- Crash Course Category Theory – C3T
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Dataflowr – Deep Learning DIY
Awesome resource
The website is built in julia with https://github.com/tlienart/Franklin.jl, Cool!
Would be interesting to have it teach DL in Julia as well.
cocalc
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Ask HN: Did you encounter any Leap Year bugs today? How bad was it?
I have some unit tests for billing and subscription code for my company that started breaking in CI today due to the leap day: https://github.com/sagemathinc/cocalc/commit/8575029c2b76787...
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Ask HN: Who has deployed commercial features using GPT4?
1. I'm integrating ChatGPT extensively into https://CoCalc.com. This integration makes a lot of sense, because cocalc is a platform in which relatively inexperienced students use Jupyter notebooks, linux terminals and Latex. So far, the most popular feature by far is a "Help me fix this" button that appears above stacktraces in Jupyter notebooks.
2. One software engineering challenges is that ChatGPT often outputs code in markdown blocks. I've had to emphasize in prompts that it should explicitly mark the language. I then got inspired to make it possible to evaluate in place the code that appears in these blocks using a Jupyter kernel, and spent a week making that work (so, e.g., if you type a question into the chatgpt box on the landing page at https://cocalc.com, and code appears in the output, often you can just evaluate it right there). There seem to be endless surprises and challenges though. For example, a few minutes ago I realized that sometimes the giant tracebacks one gets when using Python in Jupyter notebooks are so big (even doing simple things with matplotlib) that they end up resulting in too much truncation: https://github.com/sagemathinc/cocalc/issues/6634
3. I'm mostly using GPT-3.5-turbo rather than GPT4, even though I have a GPT4 api key. Aside from costs, GPT4 takes about 4x as long, which often just feels too long for my use case. The average time for a complete response from GPT-3.5 for my application is about 8 seconds, versus over 30s for GPT4.
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Math on GitHub: Following Up
Github's implementation is really lazy. There are many much better approaches to precisely this problem. E.g., Jupyter notebooks implement one that has matured in the wild over a decade. There's this very flexible markdown-it plugin that implements anther https://github.com/goessner/markdown-it-texmath, and my version of it here https://github.com/sagemathinc/cocalc/blob/master/src/packag... which I rewrote in typescript with a focus on the same semantics as Jupyter has, but for CoCalc, and I've been working on using unifiedjs to provide more general latex for Markdown (not just formulas) here https://github.com/sagemathinc/cocalc/pull/5982 Parsing math is much easier if you use a plugin to an existing markdown parser, rather than trying to do some hack outside of that (which is what Github probably does, and also what Jupyter does).
What are some alternatives?
Weave.jl - Scientific reports/literate programming for Julia
kroki - Creates diagrams from textual descriptions!
Makie.jl - Interactive data visualizations and plotting in Julia
Scientific-Notes - Collaborative, open-source notes on mathematical physics with Obsidian.md
fastbook - The fastai book, published as Jupyter Notebooks
JSage - Something like Sage, but for the WebAssembly and JavaScript world.
Plots.jl - Powerful convenience for Julia visualizations and data analysis
obsidian-mathlinks - An Obsidian.md plugin to render MathJax in your links.
personal-site - A personal site about software development
symbolic - A Symbolic Package for Octave using SymPy
yassg - A super simple static site generator written in python.
markdown-it-texmath - Support TeX math equations with your Markdown documents.