Features
Features
Features
Features
Features

Looking for the ideal toolkit that suits your technological preferences? Your search ends here! The Toolkit Compatibility guide is designed to assist you in discovering toolkits that perfectly align with the technology you prefer. Whether you're passionate about a specific programming language, in need of particular hardware components, or have unique software requirements, we've curated a comprehensive list of toolkits just for you. Simply input your tech choices in the search bar, and we'll present you with a tailored selection of toolkits. Let's match your tech with the perfect toolkit and enhance your projects!



Educational Physical Computing

  • Programming Language: Visual Programming Language (for the IDE)
  • Software Requirements: Visual IDE (Integrated Development Environment), Arduino
  • Associated Toolkit: Talkoo Toolkits


Machine Learning Framework

  • Programming Language: Python, C#
  • Software Requirements: Unity, Python, Pytorch, TensorFlow, NumPy
  • Associated Toolkit: Unity ML-Agents Toolkit


Machine Learning Framework

  • Programming Language: Python
  • Software Requirements: TensorFlow Library
  • Associated Toolkit: TensorFlow Toolkit


Multiagent System Development

  • Programming Language: Java ( for developing FIPA-compilant multiagent systems)
  • Software Requirements: FIPA-OS agent toolkit, Additional Java libraries
  • Associated Toolkit: LEAF


Reinforcement Learning Framework

  • Programming Language: Python
  • Software Requirements: Python, Dependencies for specific environments (e.g., for Atari environments, CMake is needed), TensorFlow, MuJoCo
  • Associated Toolkit: OpenAI Gym Toolkit


Reinforcement Learning Framework

  • Programming Language: Python
  • Software Requirements: MuJoCo physics engine, Python libraries and dependencies
  • Associated Toolkit: DeepMind Control Suite


Technology : Machine Learning Framework - Downloadable Item : Python

Technology : Reinforcement Learning Framework - Downloadable Item : Python

Technology : Machine Learning Framework - Downloadable Item : Python

Technology : Reinforcement Learning Framework - Downloadable Item : Python

Technology : Machine Learning Framework - Downloadable Item : Unity

Technology : Reinforcement Learning Framework - Downloadable Item : MuJoCo physics engine

Technology : Multiagent System Development - Downloadable Item : FIPA-OS agent toolkit

Technology : Educational Physical Computing - Downloadable Item : Arduino IDE




ConnectUs
  • Sensor Type: Light sensors (LDRs)
  • Measurement Principle: Principle of varying resistance with changes in light intensity
  • Sensitivity: LDRs: 100-1000 Ω/lux
  • Working Range: few - thousands of lux
  • Hardware Components: Actuator cubes, Bluetooth
Talkoo Toolkits
  • Sensor Type: Light sensors (LDRs)
  • Measurement Principle: Principle of varying resistance with changes in light intensity
  • Sensitivity: LDRs: 100-1000 Ω/lux
  • Working Range: LDRs : few - thousands of lux
  • Hardware Components: hub, motor controller, potentiometer
Real-time Distributed Toolkit
  • Sensor Type: Light, Temperature & Distance sensors
  • Measurement Principle: Measurement principles for LDR, IS & RTD sensors
  • Sensitivity: LDRs: 100-1000 Ω/lux, IRs: high sensitivity in μV/°C, RTDs : 0.385 Ω/°C
  • Working Range: LDRs : few - thousands of lux, IRs: -40°C to +125°C, RTDs: 200°C to +600°C
  • Hardware Components: Cube-shaped wireless modulesLCD display, motor, RGB LEDs, speaker.
LittleBits
  • Sensor Type: Light, Temperature, Proximity, Bend & Pressure sensors
  • Measurement Principle: Measure intensity, wavelength, changes in electrical properties, presence/ absence of an object
  • Sensitivity: Sensitivity can vary significantly depending on the type and model of the sensor
  • Working Range: The working range can vary significantly depending on the type and model of the sensor
  • Hardware Components: Circuit boards, tiny magnets
roBlocks
  • Sensor Type: Light, Temperature, Proximity, Bend & Pressure sensors
  • Measurement Principle: Measure intensity, wavelength, changes in electrical properties, presence/ absence of an object
  • Sensitivity: Sensitivity can vary significantly depending on the type and model of the sensor
  • Working Range: The working range can vary significantly depending on the type and model of the sensor
  • Hardware Components: Logic & actuator blocks
MakeBlock AI & IoT Education Toolkit Add-on Pack
  • Sensor Type: PIR, Ranging, Sound, Temperature, Motion, Humiture, Flame sensors
  • Measurement Principle: Detect the presence of infrared radiation emitted by flames, measure changes in acceleration
  • Sensitivity: Sensitivity can vary significantly depending on the type and model of the sensor
  • Working Range: The working range can vary significantly depending on the type and model of the sensor
  • Hardware Components: 31 mBuild’s electronic modules & 10 accessory packs (motors, RGB LEDs, speaker, power)
STEM educational Toolkit
  • Sensor Type: STEM educational Toolkit doesn't use sensors
  • Measurement Principle: -
  • Sensitivity: -
  • Working Range: -
  • Hardware Components: Input/Output Test Board, Raspberry Pi 3 Model B+, Analog-to-Digital Converter (ADC)