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

kconfiglib

A flexible Python 2/3 Kconfig implementation and library

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

dsalt

Official implementation of 'Noise Accumulation and Rank Collapse in Dense Self-Attention: DSALT'

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

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

parbaked

Agent-native FastAPI kernel for invite-only Python apps — MCP scaffold, auth, admin, dev, deploy to fly.io.

late-interaction-kernels

Fused Triton kernels for late-interaction (MaxSim) scoring

spylon-kernel

Jupyter kernel for scala and spark

neural-tangents

Fast and Easy Infinite Neural Networks in Python

forze

Domain-Driven Design and Hexagonal Architecture for backend services

cvehound

A tool to check linux kernel source dump for known CVEs

flash-sparse-attn

Trainable fast and memory-efficient sparse attention

kernelupgrader

A Python tool for upgrade your kernel safely from kernel.org

kernex

Stencil computations in JAX

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.