Dashboard is useful for many reasons:
- Real-time visuals
- Understand business moving
- Visually track, analyze, and display key performance indicators (KPI)
- Make informed decisions and improve performance.
- Reduced hours of analyzing
Best dashboards answer important business questions.
Web-based dashboarding tool in Python
1- Dash from Plotly
dash is a python framework for building web analytic application, it is written on top of Flask, Plotly.js and React.js.
Dash is well-suited for building data visualization apps with highly custom user interfaces.
2- Panel
it work with visualizations from Bokeh, Matplotlib, HoloViews. Panel work well in jupyter notebook to create quick data exploration tools and can use to build apps.
3-Voila
turn Jupyter notebooks into web applications
4-Streamlit
turn data scripts into shareable web app with 3 main aspects:
- embrace Python scripting
- treat widgets as variable
- reuse data and computation.
5-Bokeh
is plotting library, a widget and app library it acts as a server for both plots and dashboard.
6-Matplotlib:
it creating static, animated and interactive visualization in python
7-Bowtie
8-Flask
is a python-backed web server that can be used to build arbitrary web sites.
for more info visit : Dashboarding Tools
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