Oracle SQL Developer vs. PyQtGraph vs. broot vs. dbForge Studio for PostgreSQL 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 PostgreSQL is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to your requirements in a convenient and user-friendly interface. The tool provides a data editing tool to customize your queries and property window so that users can view all the required information of PostgreSQL database objects they are interested in. Key features: * AI Assistant Integration. * SQL Development. Save your time and improve code quality when creating and editing queries. * Explorer. Navigate through the object tree and find any PostgreSQL object you want. * Data Editor. Users can manage the settings of tables. * Data Export and Data Import. Supports 10+ widely used data formats, a number of advanced options, and templates for recurring scenarios. * Query Profiler. * Data and Schema Compare. * Data Generator. * Pivot Table.