JetBrains has released a new version of Datalore, its online data science notebook with smart coding assistance. Datalore Enterprise is designed to work on an organization's own secure networks.

Datalore provides smart coding assistance for Python in online Jupyter notebooks, can be used to run code on CPUs and GPUs, and to collaborate in real-time.

It now comes in three versions - a free community edition that offers basic machines and limited features with up to 120 hours of computations on a basic CPU machine and 10 hours of computations on a GPU machine, 10 GB of cloud storage + S3 bucket support. This edition supports publishing and sharing of notebooks for unlimited viewers and up to three editors.

The Professional edition adds the use of powerful CPUs and GPUs, while the new enterprise edition adds on-premises installation and dedicated support. 

Datalore Enterprise has all the code completion, storage integration, authentication, environment and hardware management, version control, and collaboration tools, alongside the option of installing it on your own network.

The code completion support works with pre-installed Python libraries, and uses code auto-completion, quick-fixes, and refactorings from PyCharm.  The data support is based on persistent storage in the cloud, and you can use ipywidgets and plotting libraries to produce interactive visualizations, and describe data with Markdown and LaTex.

Jetbrain says that Datalore's advantage over creating custom solutions around open source Jupyter technology is that it removes the need to dedicate time and effort to implement and maintain solutions.

It supports user authentication through JetBrains Hub, a tool that can be used with a wide range of user authentication methods. Environments can be configured to provide multiple default team environments, and individual users can then choose to dynamically modify the package list for each notebook using Datalore’s Library manager.

More Information

Datalore Website

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