Bokeh vs. Bokeh vs. Excire vs. dbForge Query Builder for MySQL Comparison Chart

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

dbForge Query Builder for MySQL is a visual tool that allows creating any sort of MySQL queries, from simple lookups to complex JOINs. The tool provides broad compatibility options and helps constructing and editing complex MySQL queries in a few clicks. You don't need to sweat building complex code - just "draw" your query on a diagram. Key Features: * Generate, fix, and optimize SQL queries in a matter of moments with dbForge AI Assistant * Powerful visual MySQL query builder functionality * MySQL statement generator executes created queries and edits tables data * Combine a few queries to a sub-query via visual MySQL query editor * Manage databases proactively * Easily make JOINs between tables * Discover trends from mountains of data * Cut the time you spend on writing complex queries You can always find the latest version of the product on the official Devart website.