Data Science Low-Code Web App Framework
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A Data Science Low-Code Web App Framework is a low-code Web app development framework focused on enabling the creation of data-driven applications (such as data analytics dashboards, data visualization tools, or machine learning models).
- Context:
- It can (typically) integrate with data storage solutions like databases, data lakes, and cloud storage.
- It can (often) be used by Data Scientist (and non-programmers).
- It can (typically) offer pre-built data manipulation modules and data analysis modules.
- …
- Example(s):
- Streamlit, a platform designed to create custom web apps for machine learning and data science.
- Dash framework, a Python framework for building analytical web applications.
- Shiny, an R package that makes it easy to build interactive web apps.
- Bokeh, a Python interactive visualization library that targets modern web browsers for presentation.
- …
- Counter-Example(s):
- A All-Purpose Low-Code Development Platform (LCDP) that does not specialize in data science applications.
- A Software Development IDE that requires manual coding for data manipulation and visualization.
- See: Data Science, Data Visualization, Data Analytics, LCDP.