Table 13.
Information regarding the development of the tools
| Name | Scientific methodology | Code available | Code license |
|---|---|---|---|
| AlpacaML | – | – | – |
| BlockWiSARD | Based on Constructivism, Constructionism and knowledge building and intelligent agents, learning process and the perception of intelligence | – | – |
| Cognimates | Participative design with codelab sprites | https://github.com/mitmedialab/cognimates-vm | Open-source |
| DeepScratch | The Incremental Agile Model is used to develop the DeepScratch extension | https://github.com/Noufst/DeepScratch | – |
| eCraft2learn | – | https://github.com/ecraft2learn/ai/blob/master/ecraft2learn.js | BSD |
| Educational Approach to ML with Mobile Applications | – | – | – |
| Google TM | – | https://github.com/googlecreativelab/teachablemachine-community/ | Apache License 2.0 |
| LearningML | – | – | GNU General Public |
| mblock | – | – | – |
| Milo | – | https://miloide.github.io | Apache 2.0 License |
| ML4K | – | Apache-2.0 License | |
| Orange | – | https://github.com/biolab/orange3 | GNU GPL 3.0 |
| PIC | – | https://github.com/mit-cml/appinventor-extensions/tree/extension/personal-image-classifier | Apache-2.0 License |
| RapidMiner | – | – | Proprietary |
| ScratchNodesML | – | – | – |
| SnAIp | – | – | – |