Datalore vs JupyterLab
Datalore
jetbrains.com
JupyterLab
jupyter.orgSide by side
| Figure | Datalore | JupyterLab |
|---|---|---|
| Price from | $29.17/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 1 |
| Spec score · Data Science Platforms | 9.2 (#1) | 8.5 (#5) |
| Spec score · Coding Playgrounds | 9.3 (#5) | 9.1 (#9) |
| Spec score · Notebook Software | 9.3 (#1) | 8.8 (#4) |
| Spec score · Data Science Analytics | 9.1 (#2) | 8.5 (#5) |
| 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 |
| Self-hosting | On-Premises can run in a customer-controlled cloud, datacenter or hybrid environment using Docker or Kubernetes. | JupyterLab is installed and launched locally with the `jupyter lab` command, so organizations can operate it on their own computers or servers. |
| What it does | Datalore is a collaborative web data analytics platform for exploring, analyzing, visualizing and sharing data. | JupyterLab is a web-based environment for interactive and reproducible computing with notebooks, terminals, text editors, file browsing and rich outputs. |
Plans
Datalore
- Cloud FreeFree
- Cloud$35 a month
- Cloud FreeFree
- Cloud annual$29.17 a month
- Cloud$35 a month
- Cloud$350.04 a year
- On-PremisesPriced on request
In their own words
Datalore
Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.
JupyterLab
JupyterLab is a web-based environment for interactive work with notebooks, code and data. Its workspace brings notebooks, text editors, terminals and custom components together in tabs and splitters. Code consoles act as scratchpads, and kernel-backed documents can run code in files such as Markdown, Python, R and LaTeX. It supports the .ipynb format used by classic Jupyter Notebook, and can view and edit formats including Markdown, images, CSV, JSON, HTML, LaTeX and PDF. Visualization libraries include matplotlib and Plotly; interactive plots or widgets may require additional packages. Extensions can add themes, viewers, editors, output renderers and interface controls, but can execute code in the browser, server and kernel, so only trusted extensions are advised. Real-time collaboration can be enabled with jupyter_collaboration. JavaScript and HTML outputs from notebooks created elsewhere remain hidden until the notebook is trusted. JupyterLab is free, open-source software under a modified BSD license, installed with pip or via a Homebrew command for macOS and Linux. It runs on Linux, macOS, the web and self-hosted systems.