Altair
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Altair | marked | |
---|---|---|
42 | 60 | |
8,912 | 31,885 | |
1.3% | 1.0% | |
9.0 | 9.5 | |
11 days ago | 3 days ago | |
Python | JavaScript | |
BSD 3-clause "New" or "Revised" 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.
Altair
- FLaNK AI Weekly 18 March 2024
- FLaNK AI for 11 March 2024
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Vega-Altair: Declarative Visualization in Python
Feel free to open an issue to let us know which parts of the documentation you find obscure and if you have suggestions for how to improve them. We did a larger overhaul a few months back and are always open to feedback on how to improve it further! https://altair-viz.github.io/
(disclaimer: I'm a co-maintainer of Altair)
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Gnuplotlib: Non-Painful Plotting for NumPy
Vega-Altair is pretty great as well. It uses a grammar of graphics that’s slightly different from ggplot, but has most of the same advantages.
https://altair-viz.github.io/
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Altair - Declarative statistical visualization library for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: Altair
- What python library you are using for interactive visualisation?(other than plotly)
- Libs para gráficos
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
Yeah, that's one of the main reasons I like altair. It has 10M downloads per month and the newest Git update is from two days ago.
- Data Visualization: Choropleth maps with ggplot and R
marked
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Eleventy vs. Next.js for static site generation
Next, install gray-matter to extract metadata from the front matter of markdown files, and marked to convert the markdown files to HTML:
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To learn svelte, I clone Github's issues page including useful features that you might consider reusing.
📑 Marked Markdown parser. Use it to create your own markdown editor.
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🤖 AI Search and Q&A for Your Dev.to Content with Vrite
Vrite SDK provides a few built-in input and output transformers. These are functions, with standardized signatures to process the content from and into Vrite. In this case, gfmInputTransformer is essentially a GitHub Flavored Markdown parser, using Marked.js under the hood.
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Better code highlighting on the web: rehype-tree-sitter
Another contestant in this realm is Bright[1]. It runs entirely on the server and doesn't increase bundle size as seen here[2]. Regarding parsing speed tree-sitter is without a doubt performant since it is written in Rust, but I don't have any problems "parsing on every keystroke" with a setup containing Marked[3], highlight.js[4] and a sanitizer. I did however experience performance issues with other Markdown parser libraries than Marked.
[1]: https://bright.codehike.org/
[2]: https://aihelperbot.com/test-suite
[3]: https://github.com/markedjs/marked
[4]: https://highlightjs.org/
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[Project Share] List dialog that supports complex HTML and Markdown format.
The project uses markedJS to convert markdown into HTML, this is their GitHub page.
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Vrite Editor: Open-Source WYSIWYG Markdown Editor
To handle pasting block Markdown content like this, I had to tap into ProseMirror and implement a custom mechanism (though somewhat based on TipTap’s paste rules), detecting starting and ending points of the blocks and parsing them with Marked.js.
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Help needed!
I am using marked for markdown parsing together with marked-highlighting to handle syntax highlighting and everything is working as it should.
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Need help - sanitizeHtml with marked doesn't render special characters correctly (& is & and then &amp)
I'm trying to render user input using SvelteMarkdown (that uses marked).
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Looking for a Comprehensive Guide for Building Complex Chatbots with GPT-4 API
GPT API returns data in markdown format. You can parse it using a Markdown library and string manipulation. On Electron app I developed https://jhappsproducts.gumroad.com/l/gpteverywhere, I used https://github.com/markedjs/marked and a code syntax highlighting package to display code blocks. And used JavaScript string manipulation to detect when code blocks start and end so I could add COPY/SAVE buttons to the blocks. I hope this helps, and happy coding! :)
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How I put ChatGPT into a WYSIWYG editor
Again, with streaming enabled, you’ll now receive new tokens as soon as they’re available. Given that OpenAI’s API uses Markdown in its response format, a full message will need to be put together from the incoming tokens and parsed to HTML, as accepted by the replaceContent function. For this purpose, I’ve used the Marked.js parser.
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
remark - markdown processor powered by plugins part of the @unifiedjs collective
bokeh - Interactive Data Visualization in the browser, from Python
markdown-it - Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed
seaborn - Statistical data visualization in Python
snarkdown - :smirk_cat: A snarky 1kb Markdown parser written in JavaScript
ggplot - ggplot port for python
DOMPurify - DOMPurify - a DOM-only, super-fast, uber-tolerant XSS sanitizer for HTML, MathML and SVG. DOMPurify works with a secure default, but offers a lot of configurability and hooks. Demo:
plotnine - A Grammar of Graphics for Python
MDsveX - A markdown preprocessor for Svelte.
matplotlib - matplotlib: plotting with Python
js-yaml - JavaScript YAML parser and dumper. Very fast.