nbproject: Manage your notebooks.
Project description
nbproject: Manage your notebooks
Start treating your Jupyter notebooks like gems, keep track of them and the data they load and write, share and collaborate at scale.
- Turn every notebook into a Notion database page.
- Treat every Jupyter notebook like you'd treat an ELN on Benchling.
Specification in comparison to other references
- Add metadata to notebooks first issue mentioned: https://github.com/jupyter/nbformat/issues/148
- This triggered cell-level IDs, but left notebook-level IDs unresolved: https://nbformat.readthedocs.io/en/latest/format_description.html#cell-ids
- nbproject is client/distributed/embedded, and not on the server side:
- nbproject offers only the metadata management related project & data management, which JupyterBook doesn't. The focus of the https://github.com/executablebooks is publication.
- Metadata within Jupyterbook is discussed here: https://jupyterbook.org/content/metadata.html
- Server-side notebook platforms have adopted providing IDs and other metadata to notebooks for a long time already
Notebook platforms
For instance, Google Colab has IDs just as any other notebook platform
"metadata": {
"colab": {
"provenance": [
{
"file_id": "1Rgt3Q7hVgp4Dj8Q7ARp7G8lRC-0k8TgF",
"timestamp": 1560453945720
},
{
"file_id": "https://gist.github.com/blois/057009f08ff1b4d6b7142a511a04dad1#file-post_run_cell-ipynb",
"timestamp": 1560453945720
}
],
Other notebook platforms:
- Binder | https://mybinder.org/
- Saturn Cloud | https://saturncloud.io/
- Google Colab, Colab Pro, and within Google Cloud:
- AWS sagemaker | https://docs.aws.amazon.com/sagemaker/latest/dg/notebooks.html
- Gradient | https://gradient.run/notebooks
- Jupyter hub | https://jupyter.org/hub
- Deepnote | https://deepnote.com/
- Jovian | https://jovian.ai/docs/
- Bookstore | nteract/bookstore
- Commuter | nteract/commuter
Features
- Metadata display with a configurable schema as in Notion (have some fields be visible and others not?)
- ID generation and managemenet
- Notebook integrity & status
- relevant for depositing data that comes from a "clean notebook"
- distinguish "save deposit", all cells have been executed sequentially, no cell has been deleted from "rapid deposit" - which annotates with a warning - in which cells have been incompletely or multiple times executed
- relevant for data provenance at loading time
- tell user whether a notebook has already been instantiated, has been used to deposit data, if so, potentially show graph
- tell user that no data was ever deposited with the notebook
- relevant for depositing data that comes from a "clean notebook"
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