It takes a githubRepo parameter in the constructor, which specifies the GitHub repository to use with MyBinder.
The start method now includes logic to start a MyBinder instance based on the specified GitHub repo.
It uses pyodide-http to make HTTP requests from within Pyodide, which is necessary for communicating with the MyBinder API.
The BinderConnection class handles the process of starting a Binder instance, waiting for it to be ready, and then connecting to the Jupyter kernel it provides.
Once connected, it behaves similarly to our previous remote kernel implementation, sending execute requests and handling responses.
To use this kernel:
Save this code as binder-kernel.js in your JupyterLite project.
Modify your JupyterLite configuration to include this custom kernel. Add something like this to your jupyter-lite.json:
When creating a new notebook in JupyterLite, users can select the "Binder Kernel" option.
To specify a different GitHub repo, you would need to modify the kernel creation process to accept parameters. This might involve creating a custom kernel selection UI in JupyterLite.
This implementation provides a seamless way for JupyterLite users to leverage MyBinder's infrastructure and run code in environments specified by GitHub repositories, all within the browser.
Note that this approach has some limitations:
It may take some time to start up, especially if the Binder environment needs to be built from scratch.
It relies on the availability and responsiveness of the MyBinder service.
The kernel will not persist after the browser session ends, as it's running on a temporary Binder instance.
I'm not sure how responsive MyBinder is anymore. Here is claude.ai's suggestion, in part as a response to a possible myBinder magic: