Acerca de Datalore

Una plataforma colaborativa para ciencia de datos.

Datalore is a collaborative data science platform that streamlines insight delivery and helps data science and business teams become more productive together. You can use Datalore for data collection and exploration, machine learning, interactive visualization and reporting.

Datalore Features

  • Real-time collaboration on code - Share notebooks by link or via email and see live changes to the code.
  • Versioning - Track progress with history checkpoints, compare versions, and revert to previous checkpoints at any time.
  • Team workspaces -Organize team projects in workspaces to keep everyone on the same page.
  • Shared files and data sources - Securely share your data connections and files attached to notebooks and workspaces.
  • Custom Auth modules - Configure authentication and SSO for your team in private cloud and on-premises setups. Enterprise edition.
  • Access permissions - Grant your colleagues viewing or editing access when sharing notebooks and workspaces.
  • Collaboration on file editing - Edit Python scripts and any plain text files with your team members in real time.
  • Smart Python, Kotlin, Scala, and R notebooks - Datalore is Jupyter-compatible and comes with smart coding assistance for Python, Kotlin, Scala, and R. Each notebook has an isolated environment, integrated environment manager, internal versioning, and integrated storage.
  • Database connections and SQL cells - In Datalore you can connect to a wide range of databases from the interface, browse database schema, and then query your data with native SQL cells. You can start working with SQL and then seamlessly continue to work with the query result using Python in the same notebook.
  • Teamwork - In Datalore you can collaborate on code in real time. You can share notebooks simply using a link or email invitation and set the level of access as either view or edit. You can also organize team projects in workspaces and share the data with your whole team using workspace files.
  • Reporting - Turn your notebooks into interactive data stories with a single click. You can hide code cells from viewers and share static or interactive reports with your stakeholders by simply providing them with a link to the report.
  • On-premises installations - Datalore can be hosted in a private cloud and on-premises by companies that require extra customization and data security. The Enterprise plan includes custom configurations for SSO, environment configuration and computational resources. Enterprise edition only.

Team Edition

  • Hosted by JetBrains
  • Python, Scala, R, Kotlin support
  • Database connections and SQL support
  • Unlimited Notebook sharing
  • Unlimited Interactive reports
  • Unlimited Static reports
  • Dedicated support channel
  • Package manager
  • 750 hours/month of CPU S time per user Datalore credits purchased separately

Enterprise Edition (additional features)

  • Hosted on-premises
  • Custom single-sign on
  • Custom base environments
  • User management
  • Shared computation resources for a team
  • Unlimited CPU and GPU time