Lists (1)
Starred repositories
266
results
for source starred repositories
Clear filter
Open-source vector similarity search for Postgres
Protocol and libraries for sending and receiving OpenTelemetry data using Apache Arrow
Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming.
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A simple to use web-based OPA Gatekeeper policy manager
GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence…
A modern load testing tool, using Go and JavaScript
Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More
The missing UI for Helm - visualize your releases
🍀 A cross-platform instant messaging desktop application with exceptional performance built on Rust + Vue3, compatible with Windows, macOS, Linux, Android, and iOS（一款基于Rust+Vue3极致性能的跨平台即时通讯桌面应用，兼容W…
[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
No fortress, purely open ground. OpenManus is Coming.
FlashMLA: Efficient Multi-head Latent Attention Kernels
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🚂 🦀 The one-person framework for Rust for side-projects and startups
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
APO is a comprehensive observability platform combining OpenTelemetry with eBPF. Leveraging LLM to enable automated analysis and troubleshooting 🚀.
🦀 Small exercises to get you used to reading and writing Rust code!
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
Empowering everyone to build reliable and efficient software.