JupyterLab vs Paperspace Notebooks
JupyterLab
jupyter.org
Paperspace Notebooks
paperspace.comSide by side
| Figure | JupyterLab | Paperspace Notebooks |
|---|---|---|
| Price from | Free | $8/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 11 |
| Spec score · Notebook Software | 8.8 (#4) | 8.8 (#5) |
| API | A public API is documented for building npm-based JupyterLab extensions and application components. | The Paperspace API lets users programmatically manage Paperspace resources using HTTP requests. |
| Collaboration | Real-time collaboration can be activated by installing the jupyter_collaboration extension. | The service supports inviting collaborators, permissions, and public notebook links. |
| Documentation depth | Documentation includes user guides, developer material, an extension migration guide, API reference, security guidance and a detailed changelog. | The documentation includes API references, CLI references, legacy tool references, authentication instructions, examples, and sample applications. |
| Founded | 2014 | 2012 |
| Languages | Language support is provided through Jupyter kernels, allowing Python, R, Julia and other languages to run through the same interface. | The IDE executes Jupyter files and projects in other languages such as Python. |
| Rating on Capterra | 4.7 out of 5 from 78 reviews | 3.3 out of 5 from 26 reviews |
| Rating on G2 | 4.5 out of 5 from 3 reviews | 4.9 out of 5 from 10 reviews |
| Security | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. | The maker says its security team monitors threats in real time around the clock and maintains historical user and resource activity logs. |
| Self-hosting | JupyterLab is installed and launched locally with the `jupyter lab` command, so organizations can operate it on their own computers or servers. | The pricing page describes private-cloud, on-premises, and private-cluster deployments for enterprise Gradient environments. |
| What it does | JupyterLab is a web-based environment for interactive and reproducible computing with notebooks, terminals, text editors, file browsing and rich outputs. | Paperspace Notebooks is a browser-based, GPU-enabled Jupyter notebook environment for developing AI and machine-learning projects. |
Plans
Paperspace Notebooks
- FreeFree
- FreeFree
- T0Free
- Pro$8 a month
- Pro (user plan)$8 a month
- Pro (team plan)$12 a month
- T1$12 a month
- Growth$39 a month
- Growth (team plan)$39 a month
- Growth (user plan)$39 a month
In their own words
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.
Paperspace Notebooks
Paperspace Notebooks is a hosted, browser-based Jupyter IDE for data exploration and machine-learning model development with accelerated compute. Users can launch GPU-enabled notebooks from a browser using a pre-built template or their own setup. It runs Jupyter files and projects in languages such as Python, with notebook machines running in Docker containers and shared persistent storage for work across notebooks.
Teams can invite collaborators, assign permissions, fork public projects, and create notebooks. Pro and Growth subscribers can mount public or private S3-compatible data sources, including AWS S3 and DigitalOcean Spaces. Listed tools include TensorFlow, PyTorch, Keras, Scikit Learn, TensorRT, TensorBoard, ONNX, XGBoost, HuggingFace, RAPIDS, and Fast.ai. An HTTP-based API supports programmatic resource management. The free plan includes 5 GB storage and free CPU and GPU machines, but free-tier machine auto-shutdown cannot exceed six hours. Paid plans start at $8.00 per month. Platforms listed are API, Linux, macOS, web, and Windows; a separate desktop app is listed for Windows 10+, OS X 10.13+, and Linux beta.