
Datalore
7.6#2 in data science platformsFrom $29.17 a monthFree planWebAPILinuxSelf-hosted
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| Fact | Datalore | JupyterLab |
|---|---|---|
| Collaboration | Real-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported. | Real-time collaboration can be activated by installing the jupyter_collaboration extension. |
| Deployment | Datalore On-Premises supports Docker Compose or Kubernetes deployment on 64-bit Linux and does not support ARM, macOS, or Windows hosts. | JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux. |
| Documentation depth | The help center includes feature guides, installation, administration, security, API tokens, Run API, agent skills and release notes. | Documentation includes user guides, developer material, an extension migration guide, API reference, security guidance and a detailed changelog. |
| Founded | 2000 | 2014 |
| Free plan | Yes | Yes |
| Purpose | Datalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
| Rating on Capterra | 4.5 out of 5 from 8 reviews | 4.7 out of 5 from 78 reviews |
| Rating on G2 | 4.8 out of 5 from 6 reviews | 4.5 out of 5 from 3 reviews |
Datalore suits data science teams that need notebooks, shared analysis, and report publishing. It also fits users who work across supported programming languages and databases.
JupyterLab suits people working in interactive, exploratory computing, including data science, scientific computing, computational journalism, and machine learning. It is designed for users comfortable installing and managing software locally.