jupysql
voila
jupysql | voila | |
---|---|---|
8 | 23 | |
605 | 5,214 | |
4.6% | 0.9% | |
9.1 | 7.9 | |
21 days ago | 16 days ago | |
Python | Python | |
Apache License 2.0 | 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.
jupysql
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Show HN: JupySQL – a SQL client for Jupyter (ipython-SQL successor)
Hey, HN community!
We're stoked to launch JupySQL today! JupySQL is an open-source library that brings a modern SQL experience to Jupyter. JupySQL is compatible with all major databases, such as Snowflake, Redshift, PostgreSQL, MySQL, MariaDB, DuckDB, SQL Server, Clickhouse, Trino, and more!
To get started, check out our tutorial: https://jupysql.ploomber.io/en/latest/quick-start.html
SQL is the defacto language for data analysis; however, analysis often requires a mix of SQL and Python. JupySQL bridges this gap, allowing users to execute SQL queries seamlessly in Jupyter and continue their analysis in Python. Add %%sql to the top of your cell and start writing SQL.
Here are some of JupySQL's main features:
- Syntax highlighting
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JupySQL: Connecting to a SQL database from Jupyter
Please show your support with a 🌟: https://github.com/ploomber/jupysql
- GitHub - ploomber/jupysql: Better SQL in Jupyter. 📊
- SQL CTE's in Jupyter notebooks, DuckDB integration and more
- TL;DR incorporate SQL functionality within Jupyter, access to modern data processing DBs (like DuckDB), polars and data exploration through plotting easier with JupySQL.
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Evidence – Business Intelligence as Code
If anyone is looking for something like this in Python/Jupyter, check out JupySQL: https://github.com/ploomber/jupysql
- A full-featured SQL client for Jupyter
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Pandas v2.0 Released
How are people managing the existence of data frame APIs like pandas/polars with SQL engines like BigQuery, Snowflake, and DuckDB?
Most of my notebooks are a mix of SQL and Python: SQL for most processing, dump the results as a pandas dataframe (via https://github.com/ploomber/jupysql) and then use Python for operations that are difficult to express with SQL (or that I don't know how to do it), so I end up with 80% SQL, 20% Python.
Unsure if this is the best workflow but it's the most efficient one I've come up with.
Disclaimer: my team develops JupySQL.
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?
grai-core
mercury - Convert Jupyter Notebooks to Web Apps
tpch
streamlit - Streamlit — A faster way to build and share data apps.
datapane - Build and share data reports in 100% Python
papermill - 📚 Parameterize, execute, and analyze notebooks
nba-monte-carlo - Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
PyMe - PyMe is a tool software to develop the Python User Interface for Python programmer.
chdb-server-bak - API Server for chDB, an in-process SQL OLAP Engine powered by ClickHouse
ipyflex - A WYSIWYG layout editor for Jupyter widgets
pytest-mock-resources - Pytest Fixtures that let you actually test against external resource (Postgres, Mongo, Redshift...) dependent code.
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps