Explore Dataframes Without Code
Product UpdateData Analysis & OLAP Tools
Datalore 2026.1 introduces an interactive notebook cell type that makes it easier to filter, transform, and visualize dataframe data.
Datalore
Collaborative platform for interactive data science and analysis.
- Supports Python, R, Scala, Kotlin, and SQL for versatile coding.
- Offers integrated data access including databases and cloud storage.
- Supports teamwork with shared workspaces and interactive reports.
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Datalore provides an environment for data scientists and analysts, combining code assistance with data connections and collaborative tools. It supports multiple programming languages and allows access to diverse data sources, enabling efficient analysis and report creation in a unified workspace.
Multi-Language Support
Datalore supports Python, R, Scala, Kotlin, and SQL within the same environment, allowing users to leverage different languages depending on their data science needs and project requirements.
Smart Coding Assistance
Features include code generation and modification, auto-completion, quick fixes, and quick reference.
Preconfigured Environments
Users can start coding immediately with pre-installed Python packages and select between pip and Conda as package managers.
Integrated Data Connections
Connect easily to databases such as Amazon Redshift, Azure SQL, MySQL, PostgreSQL, and cloud storage services including S3 and GCS buckets, with support for SSH tunneling and custom JDBC drivers.
SQL Query Integration
Native SQL cells allow for querying databases and dataframes directly within notebooks with code completion and syntax highlighting, supporting parameterized queries.
Collaboration and Sharing
Real-time notebook editing, shared workspaces, comment threads, and report builders make it straightforward for teams to work together.
Interactive and Visual Tools
Automatic plotting, tables, chart cells for multilayered visualizations, metric cells for numerical tracking, and markdown cells supporting LaTeX enrich data exploration and presentation.
Computation Management
Background computation with configurable cutoffs, reactive mode for live cell recalculation, and control over kernels and resources improve computational processes within the environment.
Product Compatibility
Review the details below to ensure this product is supported within your environment.
Operating System
- Linux
Linux Variant
- Kernel
- RedHat
- SUSE
- Ubuntu
Fix Report Issues Faster with Centralized Tracking
Product UpdateData Analysis & OLAP Tools
Datalore 2025.6 introduces the Issue Center, consolidating published report errors into a single view to enhance visibility and aid maintenance.
Maintain Data Science Workspaces with Git
Product UpdateData Analysis & OLAP Tools
Datalore 2025.5 lets you export entire workspaces to Git repositories, making it easier to preserve and track your notebooks and files.
About JetBrains
JetBrains, founded in 2000 and headquartered in Prague, Czech Republic, is a globally respected software company founded by expert developers with deep roots in programming language research and developer tooling. Backed by decades of hands-on experience and world-class engineering talent, JetBrains builds products that reflect a deep understanding of how developers work, making them trusted by millions of professionals worldwide for their quality, precision, and innovation.
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