Scalability Python Packages

paddlepaddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

hazelcast-python-client

Hazelcast Python Client

paddlepaddle-gpu

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

pytest-portion

Select a portion of the collected tests

deephyper

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

mosaic-widget

An extensible framework for linking databases and interactive views.

krkn-lib

Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.

overdue

Conveniently stop Python code from running when it is taking too long on Python 3.10+

duckdb-server

A DuckDB server for Mosaic

cerberus-client

Guardian of Kubernetes clusters. Tool to monitor clusters health and signal/alert on failures.

flexisettings

Overridable config for shared libraries.

microservices-connector

Inter-Service communication framework, support for microservice architecture and distributed system

centrifuge

Simple real-time messaging in web applications

krkn-lib-kubernetes-draft

Kubernetes library for Kraken

py-flowgrid

A simplified, powerful interface for distributed task management in Python, built on Celery.

animag

Anime magnet search library with strong scalability.

ezautoml

A Democratized lightweight and transparent AutoML framework

unstructured-paddlepaddle

Parallel Distributed Deep Learning

popget

Simple declarative REST-API client for Python.

krkn-lib-kubernetes

Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.

kafka-rpc

RPC protocol based on kafka

pymako

A Consul Client for Python.

vgplot

An extensible framework for linking databases and interactive views.

cihpc

A framework combining CI and HPC together with a minimalistic set of Python scripts to monitor scalability and performance of the software package.