notebook | datapane | |
---|---|---|
2 | 30 | |
4 | 1,349 | |
- | 0.5% | |
3.0 | 7.3 | |
about 1 year ago | 7 months ago | |
TypeScript | Python | |
MIT License | Apache License 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.
notebook
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Evidence – Business Intelligence as Code
How about something like [`input`](magic-link)? I came up with this for https://codeberg.org/macchiato ( though it's not yet implemented in the new project, just in the predecessor, https://github.com/ResourcesCo/notebook ). The backquotes differentiate from non-magic links. (I tried badges, but they aligned weirdly.)
You could use [`data.mrr`](https://evidence.dev/md/value) or any other internal DSL you can come up with.
Another thing you could do is just decide against MDX the format and keep the style and transform inline codeblocks that match.
That you said Markdown to me says you aren't on board with using an incompatible syntax.
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Markdown, Asciidoc, or reStructuredText – a tale of docs-as-code
Markdown can literally be code. RMarkdown is this. Before I learned of RMarkdown I had written something to extract code blocks with filenames that are visible in the rendered page (since hiding it at the end of the first triple backquote codefence isn't great for visibility). I'm currently working on a notebook tool. https://github.com/ResourcesCo/macchiato/blob/main/scripts/m... https://github.com/ResourcesCo/notebook
datapane
- Datapane: Build and share data reports in 100% Python
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Polars: Company Formation Announcement
If you're looking for an easy way to build an HTML report using Python, you might find Datapane (https://github.com/datapane/datapane) helpful. I'm one of the people building it! We don't support polars (yet, on the roadmap) but we do support pandas so you can convert to a pandas DataFrame and include your data and any plots, etc.
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JupyterLab 4.0
If you're interested in an easier way to create reports using Python and Plotly/Pandas, you should check out our open-source library, Datapane: https://github.com/datapane/datapane - you can create a standalone, redistributable HTML file in a few lines of Python.
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Evidence – Business Intelligence as Code
You might be interested in what we're hacking on at Datapane (I'm one of the founders): https://github.com/datapane/datapane.
You can create standalone HTML data reports from Python/Jupyter in ~3 lines of code: https://docs.datapane.com/reports/overview/
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
You can build web apps from Jupyter using Datapane [0]. I'm one of the founders, so let me know if I can help at all.
You can either export a static site [1] (and host on GH pages or S3), or, if you need backend logic, you can add Python functions [2] and serve on your favourite host (we use Fly).
We have specific Jupyter integration to automatically convert your notebook into an app [3].
[0] https://github.com/datapane/datapane
[1] https://docs.datapane.com/reference/reports/#datapane.proces...
[2] https://docs.datapane.com/apps/overview/
[3] https://docs.datapane.com/reports/jupyter-integration/#conve...
- Datapane – Build full-stack data apps in 100% Python
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Datapane - Build full-stack data apps in 100% Python
Our GitHub is https://github.com/datapane/datapane and you can get started here: https://docs.datapane.com/quickstart/
- Datapane: Build internal analytics products in minutes using Python
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Datapane - Build internal data products in 100% Python
Thanks a lot! Yes, absolutely, a few people have brought this up and working working on removing the header right now. If I can help at all, feel free to reach us on GH Discussions: https://github.com/datapane/datapane/discussions
- Datapane/datapane: Build full-stack data analytics apps in Python
What are some alternatives?
eleventy-plugin-asciidoc - Eleventy plugin to add support for AsciiDoc.
streamlit - Streamlit — A faster way to build and share data apps.
jupysql - Better SQL in Jupyter. 📊
dash - Data Apps & Dashboards for Python. No JavaScript Required.
examples - TensorFlow examples
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
iommi - Your first pick for a django power cord
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
hanakotoba - Exploring 花言葉 in Japanese and other literary corpora
superset - Apache Superset is a Data Visualization and Data Exploration Platform
djot - A light markup language
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!