Datalore is a collaborative data science platform that streamlines insight delivery, and enables data science and business teams to analyze and visualize data. With Datalore, data scientists and analysts can work together in real time to deliver insights and form a data-driven narrative, democratizing data science and transforming their businesses. With Datalore, tech-savvy business users can model, analyze, explore, manage, and share data with data teams, using no-code or low-code automations. They can connect from anywhere, across business units and locations. The increase in productivity that comes from using Datalore translates into a high return on investment. Datalore features: - Powerful coding assistance for Python, SQL, R, Scala, and Kotlin in Jupyter notebooks. - Real-time collaboration on code and in team workspaces. - Data integrations for various SQL databases and cloud storage systems. - Out-of-the-box dataset statistics, automatic visualizations, and interactive controls. - Computations on advanced CPUs and GPUs. - Preconfigured and isolated pip and conda environments that can be customized as you go. Datalore can be used online, hosted by JetBrains, or hosted on-premises or on a private cloud.