Avocado vs OpenPISCO
Avocado
github.comOpenPISCO
openpisco.irt-systemx.frSide by side
| Figure | Avocado | OpenPISCO |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Android | Yes | — |
| API | — | Yes |
| Plans published | 1 | 0 |
| Spec score · Generative Design Software | 8.1 (#4) | 7.4 (#13) |
| Support | The maintainer directs users to the GitHub issue tracker, Twitter, and a Discord server for questions and bug reports. | The getting-started page directs users to GitLab Issues to ask for help. |
Plans
In their own words
Avocado
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.
OpenPISCO
OpenPisco is an open source research and development platform for topology optimization using the level-set method. It combines optimization algorithms, direct and adjoint analyses, remeshing tools and level-set algorithms, with methods for fixed-mesh shape capturing and body-fitted mesh shape tracking. The design process supports grids, unstructured meshes and body-fitted meshes, and includes an interface to MMG3D for remeshing. Users can work through a Python library and API, the OpenPiscoCL command-line application, or a graphical application. The Python interface targets developers and advanced users; the command line supports automation, batch processing and HPC execution, while the GUI is suited to visualization. Plugins allow custom mesh readers, optimization algorithms and physics solvers to be added without changing existing source code. Documented external solver options include Code_Aster, FreeFem, ZSet and OpenFOAM; an internal finite element solver is also available. Built on the Muscat library, OpenPisco is intended for industrial and academic research, including rapid prototyping of topology optimization methods. Documentation reports installation on Ubuntu Linux, macOS, Windows 10 and WSL 20.04.