spyder-kernels
Jupyter kernels for Spyder's console
Decision gist · record as of 2026-08-14
Yes—if you use Spyder for interactive Python development. The package is actively maintained, has no known vulnerabilities, and low install friction. It's a core component for Spyder's console functionality. If you don't use Spyder or prefer other IDEs, it's not relevant.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; intended for use with Spyder IDE or as a standalone Jupyter kernel provider.
- Low friction: pure Python wheel with nine runtime dependencies including ipykernel, jupyter-client, and ipython.
- Last release 52 days ago with active repository maintenance and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both commercial and personal projects.
last release 2026-06-23 (52 days) · last repo commit 2026-08-03 · 42 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 130,750 downloads/mo, #11,627 on PyPI
Alternatives
Verify before relying
pip install spyder-kernels
# Then launch Spyder, which will automatically discover and use these kernels
# for its console panes. Kernels can also be used independently:
from spyder_kernels.console import start_kernel
start_kernel()- Whether the package works reliably with all supported Python versions (3.9–3.13) in production environments.
- Performance characteristics when handling large datasets or long-running computations in the Spyder console.
- Compatibility with third-party Spyder plugins or extensions that may interact with kernel execution.
What it is and what it does
spyder-kernels is a bridge between Spyder, the Scientific Python IDE, and Jupyter's kernel architecture. It provides kernels that let you execute Python code interactively within Spyder's console panes, or use those same kernels independently in a standard Jupyter environment. The package wraps ipykernel and related Jupyter components (jupyter-client, ipython) to handle code execution, serialization via cloudpickle, and inter-process communication through pyzmq.
You install it once, and Spyder automatically discovers and uses it for its console. You can also launch the kernels standalone if you want Spyder-compatible execution outside the IDE. It's designed for developers and scientists who want interactive Python exploration with Spyder's editor and debugging tools, or who need to switch between Spyder and Jupyter without reconfiguring their environment.
Use it for
- Interactive data exploration and visualization in Spyder's console with persistent kernel state across multiple code cells.
- Running long-running computations or simulations in Spyder while keeping the IDE responsive and debuggable.
- Switching between Spyder and Jupyter notebooks without losing kernel state or environment configuration.
- Developing and testing scientific Python code with Spyder's integrated debugging and introspection tools.
- Managing multiple isolated Python environments within Spyder for different projects or dependencies.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes—if you use Spyder for interactive Python development.
The package is actively maintained, has no known vulnerabilities, and low install friction. It's a core component for Spyder's console functionality. If you don't use Spyder or prefer other IDEs, it's not relevant.
Install
spyder-kernels on PyPI
Before you install
Low friction: pure Python wheel with nine runtime dependencies including ipykernel, jupyter-client, and ipython. Last release 52 days ago with active repository maintenance and no known vulnerabilities.
Requires Python 3.9 or later; intended for use with Spyder IDE or as a standalone Jupyter kernel provider.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both commercial and personal projects.
Quickstart
pip install spyder-kernels
# Then launch Spyder, which will automatically discover and use these kernels
# for its console panes. Kernels can also be used independently:
from spyder_kernels.console import start_kernel
start_kernel()Verify before relying
- Whether the package works reliably with all supported Python versions (3.9–3.13) in production environments.
- Performance characteristics when handling large datasets or long-running computations in the Spyder console.
- Compatibility with third-party Spyder plugins or extensions that may interact with kernel execution.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagescloudpickleipykernelipythonjupyter-clientpackagingpyxdgpyzmqtraitletswurlitzer |
| Maintenance | Actively maintained 52 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 130,750 / month, #11,627 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: IPythonFramework :: JupyterIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software Development :: Interpreters |
Evidence: spyder_kernels-3.1.5-py3-none-any.whl
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See also ipykernel · comm · bash_kernel · spyder · jupyter-kernel-gateway · metakernel · jupyter-kernel-client · jupyter · jupyter-console · ipython