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DIZEST: A low-code platform for workflow-driven artificial intelligence and data analysis
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DOI：10.1016/j.softx.2026.102519.png)
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Abstract
En 中文
While artificial intelligence (AI) and data science offer unprecedented potential, technology entry barriers often hinder widespread adoption and limit the rapid development of tailored applications. Existing low-code development platforms (LCDPs) partially address these challenges, but frequently lack the capabilities needed for complex AI and data analysis workflows. To this end, this paper presents DIZEST, a novel LCDP designed to accelerate AI application development and enhance data analysis for code-free workflow construction, while simultaneously providing professional developers with advanced customization functionalities. In particular, a reusable nodebased architecture enables efficient development so that resultant applications are scalable, high-performing, and portable across diverse deployments.
Keywords:
Low-code development platform
Web-based workflows
Artificial intelligence
Data analysis
Ease of development
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