datapane
csv-metabase-driver
| datapane | csv-metabase-driver | |
|---|---|---|
| 30 | 1 | |
| 1,348 | 181 | |
| 0.4% | - | |
| 7.3 | 0.0 | |
| 7 months ago | almost 2 years ago | |
| Python | Clojure | |
| Apache License 2.0 | - |
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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
csv-metabase-driver
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Open source Business intelligence platform made with Python
there is a csv driver[1] which allows you map a csv file on the metabase server, or providing a url of the csv. But I guess most people (including myself) would think of "upload csv file via UI" when it comes to csv support.
[1] https://github.com/Markenson/csv-metabase-driver/releases/ta...
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
metriql - The metrics layer for your data. Join us at https://metriql.com/slack
dash - Data Apps & Dashboards for Python. No JavaScript Required.
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
powerbi-jupyter - A Custom Jupyter Widget Library for Power BI