Datalore documentation

Learn how to analyze data, build reports, and collaborate with your team in Datalore.

Quick start guide : Set up your first notebook and run your first analysis in minutes
See what Datalore can do : See how Datalore helps you code, visualize, and share your data work faster

Develop and deliver your projects

Find your way around Datalore : Navigate the Home page, Editor, notebooks, and workspaces to find what you need fast
Bring in your data : Pull data from databases, cloud storage, and files directly into your notebooks
Speed up your coding : Write code faster with smart completions, AI assistance, and built-in inspections
Share insights as reports : Turn notebooks into polished, interactive reports your stakeholders can explore
Work together : Edit notebooks together in real time and share projects across your team
Set up your environment : Choose package managers, install libraries, and tailor the runtime to your project
Run and schedule computations : Control kernels, pick computation modes, schedule runs, and allocate machines
Configure your account : Update your profile, adjust preferences, and manage your subscription
Pick the right plan : Compare plans and choose the one that fits your team's needs and budget

What’s new : See the latest features, improvements, and fixes in each release
Deploy with Kubernetes and Helm : Deploy Datalore on your Kubernetes cluster using Helm charts
Deploy with Docker : Get Datalore running on your infrastructure with Docker
Secure your installation : Review authentication, access control, and data protection options for your installation