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SPECIFICTION
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Avocado vs modeFRONTIER

Avocado

github.com

modeFRONTIER

engineering.esteco.com

Side by side

FigureAvocadomodeFRONTIER
Price fromFree—
Free planYes—
Free trial——
Open source——
WindowsYesYes
macOSYes—
LinuxYesYes
AndroidYes—
API—Yes
Self-hosted—Yes
Plans published11
Spec score · Generative Design Software8.1 (#4)7.4 (#12)
SupportThe maintainer directs users to the GitHub issue tracker, Twitter, and a Discord server for questions and bug reports.ESTECO advertises one-to-one CAE engineering support from its engineers to help customers select a design exploration and optimization strategy.

Plans

Avocado

  • AvocadoFree

Avocado pricing →

modeFRONTIER

  • modeFRONTIER commercial licensePriced on request

modeFRONTIER pricing →

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.

Visit github.com

modeFRONTIER

modeFRONTIER automates engineering simulation workflows and design optimisation by connecting third-party CAD/CAE software with in-house solvers. It combines multiple engineering disciplines in unified workflows and allows several optimisation strategies in one project file. Design exploration includes design of experiments, response surface models, multi-objective optimisation, robust design, reliability analysis and uncertainty quantification. Surrogate models, machine-learning algorithms and reduced-order models support data-driven modelling; ESTECO identifies pilOPT as its proprietary self-adaptive optimisation algorithm. Integrations include parametric solvers and custom connectors for Abaqus, Adams, ANSYS Workbench, CATIA and ANSA. pyFRONTIER and pyCONSOLE connect Python workflows, including scikit-learn and SciPy optimize libraries. Workflows can run in parallel, on local grid computing, or through remote HPC and cloud resources. VOLTA adds collaboration, distributed execution and result traceability. Pricing is on request, with academic licences limited to non-commercial or academic use.

Visit engineering.esteco.com