Lexical is an extensible text editor framework that provides excellent reliability, accessibility and performance.
Repository Index
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A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)
A curated list of Site Reliability and Production Engineering resources.
The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.
Seamless multi-primary syncing database with an intuitive HTTP/JSON API, designed for reliability
A curated list of Chaos Engineering resources.
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
AI API 中转站评测排行与切换工具：实测可用率、延迟与价格 · Open-source AI API relay benchmark, rankings & switcher for Claude Code / Codex
Chaos testing, network emulation, and stress testing tool for containers
RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability.
Chaos Engineering Toolkit & Orchestration for Developers
A curated list of Site Reliability and Production Engineering Tools
A collection of postmortem templates
A feature-rich Shizuku fork with improved setup, reliability, UI, and additional start methods.
SPARK 2014 is the new version of SPARK, a software development technology specifically designed for engineering high-reliability applications.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
A production-grade messaging abstraction for Go. It provides a unified API to decouple business logic from various brokers including Kafka, RabbitMQ, RocketMQ, NATS, Redis, and AWS SQS. Featuring built-in OpenTelemetry integration and engineered for high reliability.
Vertx-effect brings functional effects to the Vert.x ecosystem and is inspired by Erlang’s actor model. Its manifesto emphasizes principles such as maximizing the use of verticles for scalability, maintaining single responsibility for each verticle, and prioritizing simplicity to enhance reliability and ease debugging.