Deepnote–a Jupyter-compatible notebook–is now open for all to enhance collaboration in data science projects. One of the most tedious things in data science is to collaborate on a project. Be it version control or real-time collaboration, data scientists have struggled for years to streamline the workflows. However, with Deepnote, you can collaborate in real-time without the need for setting up specific environments. One can directly share the notebook and ask for help, thereby expediting the collaboration process.
Founded in 2019, Deepnote is also working on fixing various data science challenges such as versioning, code review, and reproducibility. These features, however, are under development and will be released in the coming months. But, the real-time collaboration feature is now available for all to use. Earlier, real-time collaboration was not generally available. Selected enthusiasts were granted access after joining the private beta waitlist.
Although still in beta, our experience with Deepnote was smooth and look suitable for general usage. Currently, Deepnote comes with three plans: Free, Team, and Enterprise. While the free plan allows the unlimited (750) standard machine hour and three collaborators, the team plan allows unlimited collaborators for $49 per month. And the enterprise plan is a bespoke service based on the requirements.
The free plan, though, is enough for any hobbyist to get started as the 750 standard machine-hours, according to the Deepnote, is enough to run one machine non-stop for the whole month. You can also add several integrations such as MongoDB, PostgreSQL, Amazon S3, BigQuery, Google Cloud Storage, and more, to your notebook. But, you cannot share integration with your notebook yet. Further, you can integrate your GitHub repository to use its code, make commits, and pull requests. “Any project collaborator will be able to read and write to the project repository using the generated deploy key,” notes Deepnote.
Try Deepnote for free here.