JetBrains Datalore
Jupyter-compatible collaborative data science platform
Publisher
JetbrainsSubcategories
Average rating
Deze score is berekend door AI op basis van publiek beschikbare informatie.
4.6 / 5
About this software
JetBrains Datalore is a collaborative, Jupyter-compatible data science platform for teams. It provides notebook editing with PyCharm-derived coding assistance, support for Python, R, Scala, and Kotlin, native SQL cells, data-source integrations, and built-in reporting and scheduling tools. Datalore is available as a managed cloud service or as an on-premises deployment with admin controls for SSO, environment management, and private compute resources.
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JetBrains Datalore
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Benefits
- Collaborative notebooks: Edit and share Jupyter-compatible notebooks with real-time collaboration.
- Smart coding assistance: PyCharm-derived code completion, inspections, and quick-fixes inside notebooks.
- Data integrations: Connect to databases and cloud storage and query with SQL cells.
- Interactive reporting: Publish interactive reports and hide code cells for stakeholders.
- Deployment options: Use JetBrains-managed cloud or deploy On-Premises with SSO and admin controls.
Available languages
- English
Support information
- Product documentation: Comprehensive user and admin guides on the official JetBrains Datalore documentation site.
- Support portal: Zendesk-based support portal for submitting Cloud and On-Premises requests.
- Support contact options: Feedback & Support form inside the product and external support request form.
- On-Premises assistance: Guidance for installation and configuration is provided via support articles.
- Support hours and scope: Support is provided Monday to Friday 08:00–17:00 CET as documented.
Frequently asked questions
What is JetBrains Datalore?
An interactive data-science notebook platform for writing and executing code, analyzing datasets, and creating visualizations within a collaborative notebook environment.
Which programming languages does JetBrains Datalore support?
Common data-science languages such as Python are typically supported; supported languages and kernel options can vary by deployment, so consult product documentation for specifics.
How does collaboration work in JetBrains Datalore?
Collaboration is based on shared notebooks and collaborative editing, enabling multiple users to view and work on the same notebooks with sharing and access-control options.