evidence
voila
evidence | voila | |
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45 | 23 | |
3,351 | 5,214 | |
5.3% | 1.0% | |
10.0 | 7.9 | |
3 days ago | 18 days ago | |
JavaScript | Python | |
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.
evidence
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Ask HN: What's the best charting library for customer-facing dashboards?
We use echarts at https://evidence.dev and have been quite happy with it. We do a lot of embedded analytics and it's worked well for us.
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SQLPage – Building a full web application with nothing but SQL queries [video]
It’s interesting to me how far you have pushed the SQL language in this framework, such that it truly is “SQL only”.
The challenge as I see it with enabling analysts to build websites is that you need to build abstractions to get from familiar (SQL, yaml) - the language of analytics, to new (HTML, CSS, JS) - the language of the web browser
As one of the maintainers of Evidence (https://evidence.dev), one of the things I’ve often considered is how accessible our syntax is to analysts. Our syntax combines SQL and Markdown, with MDX style components e.g.
The are inherently webdev-ey, and I do think they put off potential users.
On the flip-side, by adhering to web standards, you get extensibility out of the box, and working out what to do is just a Google search away.
Anyway, thanks for the thought provoking piece.
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Blazer: Business Intelligence Made Simple
Dataclips was my first experiences writing SQL.
Writing code was a markedly better DX that building dashboards in Tableau, which is why I'm now working on https://evidence.dev - a SSG for creating data from SQL and markdown
Previous HN discussions:
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Is Tableau Dead?
I'm one of the founders of Evidence (https://evidence.dev) - would be great to hear about your experience. Reaching out now!
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Apache Superset
Full fledged BI tools like Superset and Metabase are amazing for their intended use cases.
But they may be an overkill if your primary use case is to infrequently build semi-interactive reports for non-technical end-users and your use cases are are mostly covered by standard graphs & tables. Esp. so if you are familiar with SQL and have access to the underlying data source. Two nifty utilities I have found to be very useful for latter kind of use cases are SQLPage and Evidence.
They make it very convenient to whip out some SQL and convert that to a neat professional looking web ui that can be forwarded to an end user. In case of Evidence it is a statically generated site, and in case of SQLPage it is a web app that connects to a live database.
SQLPage: https://sql.ophir.dev/
Evidence: https://evidence.dev
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A love letter to Apache Echarts
We used ECharts to build our charting library at Evidence and it’s been a great experience overall (https://evidence.dev).
We started with D3 and a few other tools, but felt that we get a lot more out of the box with ECharts, like interactivity and an events API. ECharts is also a lot more extensible than people give it credit for.
If anyone is curious, we documented the process of selecting a charting library after assessing several options: https://github.com/evidence-dev/evidence/issues/136
- Evidence, a static site generator for data apps
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Observable 2.0, a static site generator for data apps
The new direction seems very similar to what evidence has been doing for a while
https://evidence.dev
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PRQL as a DuckDB Extension
I'm quite excited about this, and would also love to have it distributed as an NPM package.
I work on an OSS web framework for reporting/ decision support applications (https://github.com/evidence-dev/evidence), and we use WASM duckDB as our query engine. Several folks have asked for PRQL support, and this looks like it could be a pretty seamless way to add it.
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Nota is a language for writing documents, like academic papers and blog posts
> Not sure the language you choose matters as much as making the API usable by a wide audience.
Fully agree with this, and having typeset my masters thesis and later my resume using LaTeX, I think that the “authoring experience” is 100% the place to focus on improving.
If you’re interested in the “markup to document publishing” space, you might also be interested in the open-source report publishing tool I’m now working on, Evidence (https://github.com/evidence-dev/evidence)
It’s similarly based on markdown, though uses code fences to execute code, HTML style tags for charts and components, and {…} for JavaScript, i.e.
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voila
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voila VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
Quick link: https://github.com/voila-dashboards/voila
Humbly recommend when you share a product, you include a link to it ;)
https://voila.readthedocs.io/en/stable/
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Evidence – Business Intelligence as Code
> Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra.
Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila
Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.
Good luck and much success with it :)
- Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
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Warning, Streamlit collects a lot of data!
i don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. but that's just my opinion i guess.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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Turn Jupyter Notebook to Web App with open-source Mercury framework and Python only
Any insights what the differences between this and Voila are? https://github.com/voila-dashboards/voila
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New library to develop streamlit apps in jupyter
A nifty little alternative to voila, one might say.
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How do you guys share R/Python based analyses to business stakeholders?
Markdown and/or Voilà https://github.com/voila-dashboards/voila
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Looking for web app generator from JSON data
If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila.
What are some alternatives?
metriql - The metrics layer for your data. Join us at https://metriql.com/slack
mercury - Convert Jupyter Notebooks to Web Apps
superset - Apache Superset is a Data Visualization and Data Exploration Platform
streamlit - Streamlit — A faster way to build and share data apps.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
papermill - 📚 Parameterize, execute, and analyze notebooks
PyMe - PyMe is a tool software to develop the Python User Interface for Python programmer.
re_data - re_data - fix data issues before your users & CEO would discover them 😊
ipyflex - A WYSIWYG layout editor for Jupyter widgets
lightdash - Self-serve BI to 10x your data team ⚡️
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps