jupyter-kernel-gateway
A web server for spawning and communicating with Jupyter kernels
Decision gist · record as of 2026-08-14
Yes, if you need remote kernel execution over HTTP without a notebook interface. The package is stable, has low install friction, carries no known vulnerabilities, and is backed by the Jupyter organization. Install with caution if you require active feature development—the project is dormant and last released 885 days ago, so expect no near-term updates.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a local Jupyter kernel installation and Python 3.8 or later.
- The gateway spawns kernels in its local process space, so kernel dependencies must be available on the host.
- Low friction install with six well-maintained runtime dependencies.
License · maintenance · safety
permissive license (permissive) — Modified BSD License (3-Clause) is permissive and widely compatible. You may use, modify, and distribute this package freely in commercial and private projects provided you retain the license notice and disclaimer.
last release 2024-03-12 (885 days) · last repo commit 2024-03-12 · 562 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,480,363 downloads/mo, #3,850 on PyPI
Alternatives
Verify before relying
pip install jupyter-kernel-gateway
jupyter kernelgateway
# Or in Python:
from jupyter_kernel_gateway.notebook_http.handlers import NotebookHTTPHandler- Whether the package supports Python 3.12 or later (classifiers list up to 3.11)
- Current state of containerization and Kubernetes integration examples mentioned in the description
What it is and what it does
Jupyter Kernel Gateway wraps Jupyter kernels in a web server, making them accessible over HTTP REST calls and WebSockets instead of the default ZeroMQ protocol. It runs kernels in its local process and filesystem, with no notebook editor—only kernel execution and management. The package supports two main modes: a WebSocket-based kernel protocol compatible with Jupyter Notebook's API, and a notebook-http mode that turns annotated notebook cells into HTTP endpoints, effectively turning notebooks into microservices.
The gateway is designed for scenarios where you want to attach notebooks to remote compute clusters, serve kernels to web clients that don't use the notebook interface, or deploy notebook logic as containerized microservices. It depends on jupyter-client, jupyter-core, jupyter-server, requests, tornado, and traitlets—all core Jupyter infrastructure—and can be scaled using container orchestration tools.
Use it for
- Expose a Jupyter kernel over HTTP for a web dashboard or custom client application to execute code remotely
- Create a microservice from a notebook by annotating cells with HTTP verbs and serving them as REST endpoints
- Attach a local notebook environment to a remote compute cluster (e.g., Spark) without running a full notebook server
- Build a headless kernel pool for batch code execution via REST, without notebook editing overhead
- Integrate Jupyter kernel execution into a larger web application or cloud platform
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need remote kernel execution over HTTP without a notebook interface.
The package is stable, has low install friction, carries no known vulnerabilities, and is backed by the Jupyter organization. Install with caution if you require active feature development—the project is dormant and last released 885 days ago, so expect no near-term updates.
Install
jupyter-kernel-gateway on PyPI
Before you install
Low friction install with six well-maintained runtime dependencies. The project is dormant (last release 885 days ago) but the repository remains active and supported by the Jupyter organization; suitable for stable production use where active development is not expected.
Requires a local Jupyter kernel installation and Python 3.8 or later. The gateway spawns kernels in its local process space, so kernel dependencies must be available on the host.
License in practice
Modified BSD License (3-Clause) is permissive and widely compatible. You may use, modify, and distribute this package freely in commercial and private projects provided you retain the license notice and disclaimer.
Quickstart
pip install jupyter-kernel-gateway
jupyter kernelgateway
# Or in Python:
from jupyter_kernel_gateway.notebook_http.handlers import NotebookHTTPHandlerVerify before relying
- Whether the package supports Python 3.12 or later (classifiers list up to 3.11)
- Current state of containerization and Kubernetes integration examples mentioned in the description
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesjupyter-clientjupyter-corejupyter-serverrequeststornadotraitlets |
| Maintenance | Dormant 885 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,480,363 / month, #3,850 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: jupyter_kernel_gateway-3.0.1-py3-none-any.whl
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See also bash_kernel · google-cloud-jupyter-config · ipykernel · jupyter-kernel-client · spyder-kernels · aioruuvigateway · jupyter · jupyter-client · metakernel · comm