Notebooks & data apps · JetBrains
Datalore
JetBrains' cloud and on-premises Jupyter-compatible notebook with built-in smart coding assistance and collaboration.
Datalore is JetBrains' notebook product for Python data science, combining a Jupyter-compatible notebook interface with IDE-grade features drawn from PyCharm: intelligent code completion, inspections, and refactoring inside notebook cells. It supports real-time multi-user collaboration, versioning, and one-click publishing of notebooks as interactive reports or dashboards. Datalore Cloud is JetBrains-hosted, with a free tier for individuals and paid plans for teams that include monthly compute credits and more powerful machines; a separate On-Premises edition lets organizations run Datalore on their own infrastructure or a JetBrains-managed dedicated instance for data residency and compliance needs. It competes most directly with other Jupyter-compatible cloud notebooks like Deepnote and Google Colab, differentiated by its JetBrains-style coding assistance and on-premises option.
At a glance
| Vendor | JetBrains |
|---|---|
| Pricing model | Free tier + paid plans |
| Free tier | Yes |
| Deployment | Cloud, Self-hosted |
| Open source | No |
| Best for | Python data teams already in the JetBrains ecosystem who want cloud notebooks with IDE-grade coding help. |
Pricing
Free Cloud tier for individuals; paid Cloud plans bill per user with monthly compute credits, plus a separate On-Premises/Enterprise option — current published figures could not be confirmed via a vendor pricing-page fetch this session.
Pricing has not been verified yet — see the vendor's site.
Features
- Jupyter-compatible notebooks with JetBrains code intelligence
- Real-time multi-user collaboration and inline comments
- One-click publishing as interactive reports/dashboards
- Version history and notebook scheduling
- Cloud-hosted machines with GPU options on paid plans
- On-Premises/Enterprise self-hosted deployment
Integrations
Profile last reviewed September 21, 2026