Avocado vs OpenMDAO

Avocado is a free, open-source PlayStation 1 emulator for Windows, macOS, Linux, and Android. It can load files including .cue, .bin, .img, .chd, .ecm, .exe, .psexe, .psf, and .minipsf by drag and drop. Listed save tools include save states, quick save and load, and rewinding by one second. It supports digital controllers, DualShock, and mouse input, with up to two controllers and no multitap. Audio support includes XA-ADPCM and Red Book, and graphics use OpenGL hardware rendering. The project lists support for Anti-Modchip and LibCrypt protected games; PAL LibCrypt games need additional .SBI or .LSD subchannel information. A BIOS from a real console is required and must be placed in the data/bios directory; BIOS selection is prompted on first run. The project is in early development, so games may not start or may crash soon after. It is single-threaded, and audio synchronized to NTSC 60 Hz can stutter in PAL games.

OpenMDAO is a free, open-source Python framework for systems analysis and multidisciplinary optimization, available for Linux and self-hosted use. It focuses on gradient-based optimization with analytic derivatives, including design spaces with hundreds or thousands of variables. Models combine components and groups, while drivers run optimization algorithms or design of experiments. Nonlinear and linear solvers can be positioned at different levels of the model hierarchy. Derivative tools include analytic partial derivatives, finite-difference and complex-step approximations, derivative checking, and forward or reverse total derivative calculations. MPI features support parallel subsystems and distributed variables across processes. Parallel computing can also support gradient-free optimization, mixed-integer nonlinear programming and design space exploration. Users can visualize models and optimization progress, and record or read model and solver cases. Dymos for transient modeling and optimal control, and pyCycle for turbine engine cycle analysis, are identified as related libraries. Installation is documented through PyPI or a cloned GitHub repository. The supported OpenMDAO 3.x line requires Python 3.10 or later; its API may change periodically during active development.