Deepnote is a new kind of data notebook that’s built for collaboration and productivity. It’s Jupyter compatible, works magically in the cloud, and sharing your work is easy as sending a link.Trusted by data scientists at
Our work is highly R&D focused. Machine learning is a very empirical discipline so iteration speed is everything - working in Deepnote is like code-review and rapid prototyping at the same time, saving valuable time in the iteration cycles. But as opposed to code review via Github, you have direct access to the runtime and program state which makes understanding complex models much easier and leads to much more spontaneous creative ideas.
We are developing, testing, and improving course materials for teaching statistics and data science, both in colleges and in high schools. All of our lesson plans are created as notebooks. Deepnote makes it possible for our team - researchers, curriculum developers, instructors - to collaborate on the continuous improvement of these notebooks.
One of the challenges of building a data-driven company is finding a suitable framework to democratize data. With batteries included, Deepnote redefined how we adopt information; it's a game-changer experience.
Deepnote allowed us to gradually experiment with collaboration at little cost, and slowly scale our collaborative workflows. Ultimately, it has made a huge difference for collaboration in our team - it's night and day. There's before Deepnote and after Deepnote time.
Building data pipelines and machine learning models in the remote work era is very painful when you have to work via Zoom call looking at a regular Jupyter notebook with colleagues. With Deepnote, building code collaboratively has never so easy and efficient. We have made Deepnote a fundamental part of our MLops cycle as we transform rapidly a piece of code from notebooks into production.
We work with data most of the time: researching our BCI data, performing market analyses and more. Typically it requires collaboration, and Deepnote is the tool for collaborative working with data in the most convenient way.
We'd had a lot of technical issues when trying to pair up on a Jupyter notebook remotely. Deepnote is incredibly easy to set up and allows us to start new notebooks in seconds.
At Tracked, we're reinventing how analytics is taught. Deepnote has helped us bridge one of our teaching gaps through a scalable virtual environment. Regardless of OS, our students face no difficulties spinning up their environments enabling our Guides to leave real-time comments that allow for a more personalised approach to education in a Post-COVID world.
Deepnote makes it easy for our team to collaborate and share work on projects. Our Insights team use Python notebooks in Deepnote for data collection, processing, and advanced analytics. The cloud-based setup and integrations have made our workflows much smoother and efficient.
Data teams don’t work alone. Click on a link to jump into any project and see in real-time what everyone is up to.
Discuss and debug code with your team in real-time, or take it offline and review the work of others by commenting on code and visualizations. No more back-and-forth and out-of-sync files over emails and Slack.
See all changes that happen within your notebook and who makes them, compare different versions of your projects and revert to previous versions of your team's work.
Share your project with anyone as a notebook, article or an interactive app in one click. With granular access permissions, you decide who can edit code and who can view it. No setup required.
Deepnote plays flawlessly with your existing infrastructure and processes. Tap into our native integrations with GitHub, Google Drive, BigQuery (and 100s more) and connect to your workspace's data sources from within the notebook. All integrations are encrypted and can be easily shared with your team. No exposed passwords in your notebooks.
Turn your team's knowledge and data into easy-to-find answers. Deepnote allows you to organize your workspace and knowledge in one place. Discover the work of others', categorize your projects, build templates that can be easily duplicated, get a quick overview of running projects and more.
No more broken pip installs or mismatched requirements. Ensure reproducibility across your workspace by re-using the same environments throughout your projects. Create custom environments within Deepnote or import existing ones from Dockerhub, GCR, and ECR.
No credit card required. Run your first notebook in seconds.