The notebook for
reproducible research.
Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support.
ML researchers start training models on GPUs within minutes. When using machines with GPUs, we save time on setup by loading GPU drivers automatically. Once training is done, the instance is shut down automatically to avoid additional cost.
Data Scientists connect external data sources securely and use familiar visualization libraries like Vega, Plotly or matplotlib. Notebooks can be collaborated on in real-time and shared privately or published to the whole internet.
Library authors publish their documentation as notebooks containing runnable samples next to the text. Readers can remix these notebooks and experiment with the samples on their own.
Professors provide notebooks as coursework with runnable exercises to their students. Students don’t waste time on setting up their local environment.
Scientists can argue from evidence and increase trust by providing a reproducible, runnable analysis, including all raw data to be verified and built upon by peers. DOIs are provided upon request.
Get started with Nextjournal now.
Sign up is free. You can import your existing Jupyter, IPython and RMarkdown notebooks.
Full support & templates for common programming environments
Python
R
Julia
Clojure
Tensorflow
Keras
Pytorch
BashWork together
in real-time
Groups & Collaborators
Create public or private groups to work with your collaborators under a shared
profile or invite them on a per-notebook basis. Secrets can be shared among
collaborators.
Real-Time Sync
All edits to a Nextjournal notebook are commit-less and synchronized in real-time
among connected clients. This allows editing of a notebook by multiple authors at
the same time.
Rapid and full reusability
Remix entire notebooks
Enabled by immutability, “Remix” allows you to quickly build off a copy
of any previously published notebook, including all of its dependencies.
Create, share and reuse Docker images
The entire file system can be published as Docker image with a single
click. These images can be pulled to run locally or reused in other
Nextjournal notebooks.
Polyglot Notebooks
In Nextjournal, you can use multiple programming language runtimes together in a single notebook. Values can be exchanged between runtimes using files.
Easy-to-manage runtime states
Runtimes are Docker containers that are orchestrated by a separate
“Runner” application. This allow resetting an individual runtimes state
without affecting other runtimes.
Arbitrary installations
Nextjournal can install anything as long as a runtime offers Bash.
Environment variables can be set for each runtime through a UI.
Default environments
We offer default environments for various languages and use cases that
come pre-populated with libraries for plotting, number crunching and more.
Automatic Provisioning & Shutdown
Every notebook that is run, gets its own compute instance provisioned automatically. We keep a pool of small runners around with 4GB of RAM per instance that will boot instantly. Larger instances are available on-demand. When your computation is done, we shut it down automatically to save costs on idling machines.
Full GPU support
Currently, we have full support for up to 8 NVIDIA Tesla K80, P100 or
P100 Workstation GPUs per runtime with minimal setup necessary.
Data & Secrets Management
Connect your data
Besides uploading files, Nextjournal notebooks can bring in private data
from S3 and Google Cloud Storage. You can also clone private GitHub
repositories or import images from Docker Hub.
Secrets management
Secrets can be added to your account’s private secrets storage that lives
outside notebooks and computational environments. Secrets are stored securely
in Vault and can only be read by your profile.
Share your work
Notebooks can be published under a permanent URL that you can define, like:nextjournal.com/your-handle/your-title
You can decide wether a published notebook is accessible by everybody or just your group’s members. Published notebooks are read-only but can be remixed by anyone who can see them.
Share URLs
Independent from wether a notebook has been published yet, you can always
generate a link to share a read-only version of a current draft.
“Holy crap... I’m now actively petitioning my bosses to get me and my tiny overworked team off of our opensource airbnb jupyter notebooks and into this.
A timely response from your support team got me up and running hitting our redshift server in minutes. I’m totally sold. LOVE THIS PRODUCT.
My dev team actually read my report. They’re calling you the Notion of Data Science ha! Keep up the great work!”
Ken Hanson, Modern Message
Get started with Nextjournal now.
Sign up is free. You can import your existing Jupyter, IPython and RMarkdown notebooks.
“Nextjournal should be the new standard in scientific publishing both for reproducibility and sharability.”
William Ludington, PhD, Principal Investigator, Carnegie Science Institute
“Working in Nextjournal took collaboration to new levels. Easily go from changing parameters to pretty pictures while hiding any superfluous stuff.”
Jon Norberg, PhD, Stockholm Resilience Center
“I'm trying out @usenextjournal and have to say it is awesome. It fits my style and needs perfectly.”
Josh Bowles, AILGroup, via Twitter
“[Nextjournal] is an amazing platform for data science and any data visualization.”
London Clojurians, via Twitter