kernel
The official Python library for the kernel API
Decision gist · record as of 2026-08-14
Yes, if you need to integrate with the Kernel API. The library is actively maintained, has no known vulnerabilities, low install friction, and provides a well-typed interface with both sync and async support. The recent release and active repository suggest ongoing development. Verify that the Kernel service itself meets your production requirements before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later and a valid KERNEL_API_KEY environment variable or passed as an argument.
- Low install friction with a pure-Python wheel and six common dependencies.
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use, modify, and distribute this library freely in commercial and private projects with minimal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 7 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 175,687 downloads/mo, #10,261 on PyPI
Alternatives
Verify before relying
pip install kernel
import os
from kernel import Kernel
client = Kernel(api_key=os.environ.get("KERNEL_API_KEY"))
browser = client.browsers.create(stealth=True)
print(browser.session_id)- Whether the Kernel service itself is production-ready or still in beta.
- Rate limits and quota policies for the underlying Kernel API.
- Performance characteristics when handling large paginated result sets.
What it is and what it does
Kernel is an official Python client library for the Kernel REST API, generated by Stainless. It wraps HTTP calls to the Kernel service with type-safe request and response objects, built on httpx for both sync and async I/O. The library includes full type hints for all API parameters and responses, Pydantic models for responses with serialization helpers, and automatic pagination for list endpoints.
You instantiate a Kernel or AsyncKernel client with an API key, then call methods like `client.browsers.create()` or `client.deployments.list()` to interact with the service. The library handles retries automatically (2 attempts by default for connection errors, timeouts, rate limits, and 5xx errors) and provides detailed error types for different HTTP status codes. Async usage is identical to sync except for await keywords, and you can optionally use aiohttp instead of httpx for the async backend.
Use it for
- Automate browser creation and management for web scraping or testing via the Kernel API.
- Deploy and manage applications programmatically using the deployments endpoint.
- Build async-first applications that need concurrent API calls with automatic pagination.
- Integrate Kernel's browser or deployment services into a larger Python application with full type safety.
- Handle API errors gracefully with specific exception types for different HTTP status codes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to integrate with the Kernel API.
The library is actively maintained, has no known vulnerabilities, low install friction, and provides a well-typed interface with both sync and async support. The recent release and active repository suggest ongoing development. Verify that the Kernel service itself meets your production requirements before committing.
Install
kernel on PyPI
Before you install
Low install friction with a pure-Python wheel and six common dependencies. Actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.9 or later and a valid KERNEL_API_KEY environment variable or passed as an argument.
License in practice
Apache-2.0 is permissive; you can use, modify, and distribute this library freely in commercial and private projects with minimal restrictions.
Quickstart
pip install kernel
import os
from kernel import Kernel
client = Kernel(api_key=os.environ.get("KERNEL_API_KEY"))
browser = client.browsers.create(stealth=True)
print(browser.session_id)Verify before relying
- Whether the Kernel service itself is production-ready or still in beta.
- Rate limits and quota policies for the underlying Kernel API.
- Performance characteristics when handling large paginated result sets.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesanyiodistrohttpxpydanticsniffiotyping-extensions |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 175,687 / month, #10,261 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: kernel-0.91.0-py3-none-any.whl
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