PyBullet vs. Robot Framework vs. Rocketbot vs. Wing Python IDE Comparison Chart

PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. It is utilized in various research projects, such as Assistive Gym, which leverages PyBullet for physical human-robot interaction and assistive robotics, supporting collaborative robots and physically assistive tasks. Another project, Kubric, is an open source Python framework interfacing with PyBullet and Blender to generate photo-realistic scenes with rich annotations, scaling to large jobs distributed over thousands of machines.

Rocketbot is a framework to build robot process automations (RPA). Compatible with Linux, Windows and Mac. With Rocketbot, you can use RocketCloud to deploy robots in seconds. With our images in Docker and AWS WorkSpaces distributions, you can upload your robots to the cloud reducing infrastructure costs. Today, with Rocketbot, 80% of this process can be automated. The banking and financial institutions who adopted Rocketbot were able to keep banking transactions on time and reduce SLA non-compliance. Rocketbot robots now automate the query and process the data on an online platform. Before Rocketbot , one person spent half a day, Monday through Friday, to manually compile productivity reports on boxes and then distribute them to company premises. There was no data on the weekend shifts.