Keploy

Reliable end-to-end testing

Cross-browser E2E testing framework by Microsoft supporting Chromium, Firefox, and WebKit with one API. Features auto-waiting, tracing with timeline/screenshots/DOM snapshots, codegen for recording tests, and parallel execution. Component testing for React, Vue, Svelte. Built-in API testing, network mocking, and mobile emulation. Known for reliability and speed vs Selenium/Cypress. 70K+ GitHub stars, rapidly becoming the E2E standard.

Blazing fast Vite-native testing

Next-generation testing framework powered by Vite for blazing-fast execution. Jest-compatible API with native ESM support, TypeScript out of the box, and in-source testing capabilities. The new default test runner for Vite-based projects, offering significantly faster test execution and a modern developer experience compared to Jest for projects using modern JavaScript tooling.

API and browser monitoring as code

Checkly is an active reliability platform for developers and agents that combines Playwright browser checks, API checks, synthetic monitoring, monitoring-as-code, traces, status pages, alerts, and Rocky AI analysis. It helps teams run code-defined production checks from global and private locations instead of relying only on pre-deploy tests.

AI-native end-to-end testing with plain English test authoring

Momentic is an AI-native testing platform that lets teams write end-to-end tests in plain English. It features auto-healing test selectors that adapt to UI changes, instant mobile device emulators, built-in visual regression testing, and AI-powered flaky test handling. Backed by $15M Series A from Standard Capital, it eliminates brittle test maintenance through intelligent element identification and self-repairing test flows.

Autonomous AI agent for end-to-end software testing

TestSprite is an AI testing agent that autonomously generates test plans, writes test code, executes tests, and reports results without human intervention. Ranked #1 on Product Hunt for Developer Tools in 2025, it handles test creation from natural language requirements through execution and regression tracking. Credit-based SaaS model with 121K+ monthly visits.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Official Kubernetes and Helm reference stack built on the vLLM inference engine

Official vLLM reference implementation for scaling the existing inference engine on Kubernetes with Helm, request routing, KV-cache offload, autoscaling and Prometheus/Grafana observability.

Distributed inference orchestration above vLLM, SGLang and TensorRT-LLM

Open-source, datacenter-scale orchestration layer that coordinates vLLM, SGLang and TensorRT-LLM across nodes with disaggregated serving, KV-aware routing, multi-tier cache management and automatic scaling.

Open-source GPU control plane for scalable AI model serving

Open-source GPU cluster manager that configures vLLM, SGLang, TensorRT-LLM or custom engines, serves models through compatible APIs, and provisions SSH-accessible GPU instances across on-premises, Kubernetes and cloud environments.

Test and debug MCP servers before they ship

Open-source platform for inspecting, debugging and regression-testing MCP servers, MCP Apps and ChatGPT apps, with OAuth and protocol conformance for local and CI workflows.

Disaggregated KV cache storage and transfer for LLM serving

Open-source infrastructure for disaggregated LLM serving that pools KV caches across prefill and decode workers, with high-performance transfer, distributed storage and integrations for vLLM and SGLang.