Kernel Python Packages

ipykernel

IPython Kernel for Jupyter

caio

Linux AIO c python bindings

cuda-tile

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs

hdijupyterutils

Jupyter magics and kernels for working with remote Spark clusters

autovizwidget

Jupyter magics and kernels for working with remote Spark clusters

fdt

Flattened Device Tree Python Module

jupyter-kernel-client

🪐 Jupyter Kernel Client through HTTP and WebSocket.

jupyter-mimetypes

🪐 Jupyter Mimetypes - Enhanced Jupyter representation capabilities through proxy objects

sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

jupyter-enterprise-gateway

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

cca-zoo

Multiview CCA methods in a scikit-learn style framework

neural-tangents

Fast and Easy Infinite Neural Networks in Python

pyinc

A correctness-first incremental query engine for Python.

spylon-kernel

Jupyter kernel for scala and spark

copyfail-guard

Detect and mitigate CVE-2026-31431 (Copy Fail) on Linux systems.

decepticons

A backend-neutral kernel of predictive primitives for descendant systems. O(n) attention is deception.

kernex

Stencil computations in JAX

q8s

CLI and Jupyter kernel extension for executing quantum programs in simulators on Kubernetes clusters

umcp

Contract-first validation framework for reproducible computational workflows. Six kernel invariants, 23 scientific domains, 746 proven theorems, 20,221 tests, three-layer C/C++/Python architecture, three-valued verdicts.

kernelupgrader

Download, compile and install the latest stable kernel for your Linux system

base-attentive

Modular Multi-Backend Encoder-Decoder Architecture for Probabilistic Time Series Forecasting

cvehound

A tool to check linux kernel source dump for known CVEs

jupyterlab-kernelspy

A Jupyter Lab extension for inspecting messages to/from a kernel

proadv

ProADV is a Python package designed for efficient processing and analysis of acoustic Doppler velocimeter (ADV) data. It offers advanced cleaning algorithms for robust despiking and noise removal, comprehensive statistical functions for calculating essential measures, and further analysis capabilities.