AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.AutoMQ: A cloud-first alternative of Kafka by decoupling durability to S3 and EBS 🔥 Free trial of AutoMQ Business Edition 📑 Documentation 🍵 AutoMQ vs Other Streaming Platforms Feature AutoMQ Apache Kafka Confluent Apache Pulsar Redpanda Warpstream Apache Kafka Compatibility[1] …
Extremely Fast Compression algorithmLZ4 - Extremely fast compression LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core, scalable with multi-cores CPU. It features an extremely fast decoder, with speed in multiple GB/s per core, typically reaching RAM speed limits on multi-core systems. Speed can be tuned dynamically, selecting an "acceleration" factor which trades compression ratio for faster speed. On the other end, a high compression derivative,…
Maestro: Netflix’s Workflow OrchestratorMaestro Maestro is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform users at Netflix. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases. It schedules hundreds of thousands of workflows, millions of jobs every day and operate with a strict SLO even when …
A LaTeX CV/Resume Framework RenderCV A $\LaTeX$ CV/Resume Framework RenderCV allows you to create a high-quality CV as a PDF from a YAML input file. It supports Markdown syntax and gives you complete control over the $\LaTeX$ code. The primary motivation behind RenderCV is to provide a concrete framework that allows: Version controlling a CV's content and design separately and in an organized manner. Building an automated pipeline that updates the final output (PDF, $\LaTeX$, Markdow…
Composio equips agents with well-crafted tools empowering them to tackle complex tasks EN | CN | JP Production Ready Toolset for AI Agents Equip your agent with high-quality tools & integrations without worrying about authentication, accuracy, and reliability in a single line of code! Explore the Docs » Try on Dashboard | Homepage | SDK | APIs ✨ Socials >> Discord | Youtube | Twitter | …
基于python的网页自动化工具。既能控制浏览器，也能收发数据包。可兼顾浏览器自动化的便利性和requests的高效率。功能强大，内置无数人性化设计和便捷功能。语法简洁而优雅，代码量少。How to use: Documents This project is mainly updated in gitee, and will be submitted to GitHub after producing a stable version. Check out the latest developments at gitee. ✨️ Overview DrissionPage is a python-based web page automation tool. It can control the browser, send and receive data packets, and combine the two into one. It can take into account the convenience of browser automation and the high…
NVIDIA Linux open GPU kernel module sourceNVIDIA Linux Open GPU Kernel Module Source This is the source release of the NVIDIA Linux open GPU kernel modules, version 550.100. How to Build To build: make modules -j$(nproc) To install, first uninstall any existing NVIDIA kernel modules. Then, as root: make modules_install -j$(nproc) Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 550.100 driver release. Thi…
NativeLink is an open source high-performance build cache and remote execution server, compatible with Bazel, Buck2, Reclient, and other RBE-compatible build systems. It offers drastically faster builds, reduced test flakiness, and significant infrastructure cost savings. What's NativeLink? NativeLink is an efficient, high-performance build cache and remote execution system that accelerates software compilation and testing while reducing infrastr…
The memory layer for Personalized AI Mem0: The Memory Layer for Personalized AI Mem0 provides a smart, self-improving memory layer for Large Language Models, enabling personalized AI experiences across applications. Note: The Mem0 repository now also includes the Embedchain project. We continue to maintain and support Embedchain ❤️. You can find the Embedchain codebase in the embedchain directory. 🚀 Quick Start Installation pip install mem0ai Basic Usage…