PyQuant News 🐍
PyQuant News 🐍

@pyquantnews

17 Tweets 4 reads Jan 11, 2023
We’re entering a new era of quantitative analysis.
Where anyone can get big results with little effort.
Want to build an analytics app?
Here's 13 Python libraries to get you started now:
bokeh
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets.
github.com
Dash
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code.
github.com
Streamlit
Streamlit lets you turn data scripts into shareable web apps in minutes, not weeks. It’s all Python, open-source, and free!
github.com
Panel
Panel provides tools for easily composing widgets, plots, tables, and other viewable objects and controls into custom analysis tools, apps, and dashboards.
github.com
Gradio
Gradio is an open-source Python library that is used to build machine learning and data science demos and web applications.
github.com
PyWebIO
PyWebIO provides a series of imperative functions to obtain user input and output on the browser, turning the browser into a "rich text terminal", and can be used to build simple web applications or browser-based GUI.
github.com
Visdom
Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation.
github.com
Voila
Voila turns Jupyter notebooks into standalone web applications.
github.com
Mercury
Mercury is a perfect tool to convert Python notebook to interactive web application and share with non-programmers.
github.com
H2O Wave
H2O Wave excels at capturing information from multiple sources and broadcasting them live over the web, letting you build and deploy realtime analytics with dramatically less effort.
github.com
Jupyter-Flex
Build dashboards using Jupyter Notebooks.
github.com
ipyflex
ipyflex allows you to compose sophisticated dashboard layouts from existing Jupyter widgets without coding. It supports multiple tabs, resizable cards, drag-and-drop layout, save dashboard template to disk, and many more.
github.com
Bloxs
Bloxs is a simple python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook.
github.com
Build and deploy a complete analytics app in a few lines of code.
Start here:
• Voila
• Dash
• Bloxs
• Panel
• bokeh
• ipyflex
• Gradio
• Visdom
• Mercury
• Streamlit
• PyWebIO
• H20 Wave
• Jupyter-Flex
Phew!
There's enough here to keep you busy for weeks!
Can't get to it all today?
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