mercury
xonsh
mercury | xonsh | |
---|---|---|
77 | 112 | |
3,779 | 8,006 | |
1.0% | 1.1% | |
8.5 | 8.9 | |
16 days ago | 7 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | 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.
mercury
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Ask HN: What's the best charting library for customer-facing dashboards?
I'm build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook.
My favorite is Altair. It provides interactivity for charts, so you can move/zoom your plots and have tooltips. It is much lighter than Plotly after saving the notebook to ipynb file. Altair charts looks much better than in matplotlib. One drawback, that exporting to PDF doesn't work. To serve notebook as dashboard with code hidden, I use Mercury framework, you can check example https://runmercury.com/tutorials/vega-altair-dashboard/
disclaimer: I'm author of Mercury framework https://github.com/mljar/mercury
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mercury VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Web App with GUI for AutoML on Tabular Data
Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
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streamlit VS mercury - a user suggested alternative
2 projects | 8 Jul 2023
- GitHub - mljar/mercury: Convert Jupyter Notebooks to Web Apps
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[P] Opinionated Web Framework for Converting Jupyter Notebooks to Web Apps
The GitHub repository https://github.com/mljar/mercury
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Show HN: Opinionated Web Framework for Converting Jupyter Notebooks to Web Apps
We are working on open-source web framework Mercury that converts Python notebooks to Web Apps.
It is very opinionated:
- it has no callbacks - we automatically re-execute cells below updated widget
- it has no layout widgets, all input widgets are always in the left sidebar
Thanks to above decisions you don't need to change notebook's code to have web app and fit to the framework.
The simplicity of the framework is very important to us. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file.
The GitHub repository https://github.com/mljar/mercury
Documentation https://RunMercury.com/docs/
Mercury Cloud https://cloud.runmercury.com
- Show HN: Build Web Apps in Jupyter Notebook with Python Only
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
xonsh
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This Week In Python
xonsh – Python-powered, cross-platform, Unix-gazing shell
- FLaNK Stack Weekly 19 Feb 2024
- Xonsh is a Python powered shell
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Xonsh: Python-powered, cross-platform, Unix-gazing shell
You need to downgrade ptk version. Look here - https://github.com/xonsh/xonsh/issues/5241#issuecomment-1961...
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Google ZX – A tool for writing better scripts
Friends, I'm not saying that tools like zx are not good. I do like to write some scripts using js/ts. I believe pythoners prefer https://xon.sh/ . Perl is also attractive and interesting. Fish is friendly.
However, I still believe that posix-shell has its own advantages. The balance among size, code length, and expressiveness. I think the only possible competitors are tcl and perl, maybe lua.
- Xonsh – A Python-Powered Shell
- Xonsh
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Shh: Simple Shell Scripting from Haskell
Those of you who use (or used) this as your shell: care to share your experience?
It seems a lot less full-featured than https://xon.sh/, but maybe you don't need a lot of bells and whistles for regular usage. I mostly run build, execute, and install commands.
I'm somewhat enticed at the possibility of being able to wrap common executables into forms that are typed (like nushell or elvish) and manipulate them in a way that leverages the type checker.
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Marcel the Shell
In that case, is it even more similar to xonsh?
https://xon.sh/
- Shshsh is a bridge connects Python and shell
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
nushell - A new type of shell
voila - Voilà turns Jupyter notebooks into standalone web applications
fish-shell - The user-friendly command line shell.
papermill - 📚 Parameterize, execute, and analyze notebooks
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
voila-gridstack - Dashboard template for Voilà based on GridStackJS
oh-my-bash - A delightful community-driven framework for managing your bash configuration, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
PowerShell - PowerShell for every system!
awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be
zx - A tool for writing better scripts