Matplotlib vs. PyQtGraph vs. Seaborn vs. dbForge Studio for SQL Server Comparison Chart

PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.

dbForge Studio for SQL Server is a comprehensive platform with an intuitive graphical user interface and robust functionality that enables users to handle a variety of database-related tasks both on-premises and in the cloud. Key Features: SQL Coding Assistance AI Assistant Integration Source Control Index Manager Unit Test Table Designer Database Designer T-SQL Debugger Query Profiler Schema Compare Data Compare Data Generator Documenter Query Builder Data Export and Data Import Database Administration Server Event Profiler Data Editor SQL Server Reporting Master-Detail Browser Pivot Table Copy Database Monitor Find Invalid Objects DevOps Automation Optimized system resources consumption when preparing the Quick Info and Code Completion hints Support for macOS & Linux via CrossOver You can always find the latest version of the product on the official Devart website.