JMP
The gold standard in visual data discovery and interactive statistical modeling for R&D and manufacturing.
Work
Paid
From $1840/yr
Design of Experiments (DOE)
Quality Control (Six Sigma)
Predictive Modeling
Panel
4.6
Free Panel is well-regarded for its ease of use, seamless integration with the PyData ecosystem, and ability to create interactive data applications.
A Python framework for building interactive data exploration tools and web applications.
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Refined 3/2/2026
About Panel
Panel is an open-source Python library designed to streamline the development of interactive data exploration tools, dashboards, and complex web applications. It integrates seamlessly with the PyData ecosystem, allowing users to leverage libraries like HoloViews, hvPlot, and Datashader. Panel offers both high-level reactive APIs and lower-level callback-based APIs, facilitating rapid development and extensive interactivity. The framework allows creating interactive big data applications, streaming data applications, and applications that run entirely in the browser. Panel emphasizes collaborative workflows. It allows users to create polished, performant, secure, and production-ready web applications. Panel integrates with Bokeh for model implementations and uses Param for declarative parameters. It supports reactive APIs for building reusable components and templates for consistent application structure.
Core Capabilities
Panel is an open-source Python library designed to streamline the development of interactive data exploration tools, dashboards, and complex web applications.
