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Streamlit — A faster way to build and share data apps.
Streamlit is a library for turning Python scripts into shareable web applications. Streamlit apps are designed for the data science and machine learning community and make it easy to build dashboards and interactive ML models. What makes Streamlit so popular is its simplicity. Using the Streamlit library is quick and intuitive, which means you can create data apps without needing any web development experience.
Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)
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A high-level app and dashboarding solution for Python (by holoviz)
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
Little guidance of a python newbie
2 projects | reddit.com/r/Python | 4 Apr 2023
Containerizing Shiny for Python and Shinylive Applications
4 projects | dev.to | 10 Nov 2022
How can I build interactive plots using Matplotlib/Numpy?
2 projects | reddit.com/r/learnpython | 4 Nov 2022
[Q] What industries use R over Python? Is it better to learn Python rather than R? I will be learning both, but want to know which I should focus on more.
3 projects | reddit.com/r/statistics | 22 Jan 2022
What tools are available for personal use?
2 projects | reddit.com/r/datascience | 7 Jun 2021