Frequently Asked Questions - SDK
- How do I configure ProGuard or R8 to work with mesibo?
- What platforms and languages does mesibo support?
- Can I customize the API or modules to suit my own requirements?
- Can I request custom features not available in Mesibo?
- Does mesibo support running on Windows?
- Can I develop applications in Python using Mesibo?
- Does Mesibo support Julia?
- Does Mesibo support Raspberry Pi?:
- Can Mesibo be used with GUI written in Qt (PyQT/Qt C++), GTK,etc ?
- Mesibo does not support the platform that I need What should I do
- Can I use Mesibo with machine learning frameworks such as TensorFlow and Pytorch?
- How can I develop chatbots with mesibo?
- How can I use Mesibo to build applications for IoT?
- Can Mesibo be used to build voice based assistants/voicebots?
mesibo supports almost all popular platforms and languages. Whether you are developing mobile apps (Android, iOS, Flutter, Java, Objective-C, C++), web apps (Javascript), integrating with backend (Linux, macOS, Windows, Python, C++), or creating cool devices using Raspberry PI, mesibo has chat APIs for you.
See the Installation Instructions page for specifics on getting mesibo set up in your development environment of choice.
Instantly add real-time communication on your embedded devices by using Mesibo.You can control and communicate with your Raspberry Pi based devices from mobile apps, web, Linux, using the same API.
Mesibo on Raspberry Pi is available as a shared library(.so) which allows you to use it from any application OR languages of your choice like C, C++, Python, PHP, etc.
You can interface with any machine learning framework such as TensorFlow, Pytorch, Keras, Caffe, etc. There are three options to interface:
- Use mesibo Python library (/install/python)
- Use mesibo C++ library (/install/cpp)
- Interface using on-premise module (/on-premise/loadable-modules/)