Fizzik
Fizzik is a physics simulation software that allows users to model complex physical systems like rigid bodies, particles, fluids, and more. It has an intuitive drag and drop interface to quickly build simulations.
physics
simulation
education
Fizzik: Physics Simulation Softwares
Physics simulation software with drag and drop interface for complex systems like rigid bodies, particles, fluids and more
What is Fizzik?
Fizzik is a feature-rich physics simulation software used by engineers, researchers, educators, and hobbyists to model real-world physical systems and phenomena. With an intuitive drag-and-drop interface, Fizzik makes it easy for beginners to quickly build simulations while also providing advanced tools for experienced users.
Some key features and capabilities of Fizzik include:
- Rigid body dynamics with support for primitive shapes, imported meshes, fracturing, and constraints
- Particle systems including fluid, smoke, fire, cloth simulation
- Advanced solver for accurate simulation of contacts, friction, motors, springs, ragdolls etc
- Rendering tools to visualize simulation with shadows, camera controls and post processing
- Python scripting and plugin support for customization
- An asset library containing premade simulations that can be reused and adapted
- Support for VR allowing users to immerse themselves in the simulation
- Collaborative tools for teams to work together on large projects
With its combination of an easy learning curve and advanced functionality, Fizzik is used in game development, animation, research labs developing robots and autonomous systems, mechanical engineering projects and more. Its affordable licensing makes Fizzik accessible to users across education and indie development.
Fizzik Features
Features
- Rigid body dynamics
- Particle systems
- Fluid simulation
- Collision detection
- Visualization and rendering
- Scripting and automation
Pricing
- Subscription-Based
Pros
Intuitive drag-and-drop interface
Powerful physics engine
Wide range of simulation types
Great for education and research
Cons
Steep learning curve
Can be computationally intensive for complex simulations
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