Showing 11184 open source projects for "apache"

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  • 1
    Carbon Language

    Carbon Language

    Carbon Language's main repository

    Carbon is an experimental successor to C++, developed by Google to serve as a modern, safer, and more evolvable systems programming language—designed to interoperate with C++ while providing clearer language design and tooling. Performance matching C++ using LLVM, with low-level access to bits and addresses. Interoperate with your existing C++ code, from inheritance to templates. Fast and scalable builds that work with your existing C++ build systems.
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  • 2
    RuleGo

    RuleGo

    Component orchestration rule engine framework for Go

    RuleGo is a high-performance, component-based rule engine implemented in Go. It’s lightweight, embeddable, orchestration-ready, and built for flexible composition of business logic into reusable components. No external middleware dependencies, efficient data processing and linkage on low-cost devices, suitable for IoT edge computing. Embedded and Standalone Deployment modes. Supports embedding RuleGo into existing applications. It can also be deployed independently as middleware, providing...
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  • 3
    Taichi

    Taichi

    Productive, portable, and performant GPU programming in Python

    Taichi is an open-source, embedded DSL within Python designed for high-performance numerical and physical simulations. It uses JIT compilation (via LLVM and its runtime TiRT) to offload compute-heavy code to CPUs, GPUs, mobile devices, and embedded systems. With built-in support for sparse data structures (SNode), automatic differentiation, AOT deployment, and compatibility with CUDA, Vulkan, Metal, and OpenGL ES, it empowers disciplines like simulation, graphics, AI, and robotics
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  • 4
    TreeQuest

    TreeQuest

    A Tree Search Library with Flexible API for LLM Inference-Time Scaling

    TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms—such as AB‑MCTS—for enhancing inference-time performance of large language models (LLMs). It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial‑and‑error question...
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  • 5
    Matchbox

    Matchbox

    Painless peer-to-peer WebRTC networking for rust wasm

    Matchbox is a WebRTC-based networking library for the Bevy game engine, enabling multiplayer games to run in the browser or native environments with peer-to-peer communication. It handles matchmaking, NAT traversal, and synchronization in real-time, making it easier for game developers to add fast and scalable multiplayer features. Designed with simplicity and performance in mind, Matchbox supports both WebAssembly and desktop targets. It’s especially useful for browser-based games that need...
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  • 6
    Reth

    Reth

    Implementation of the Ethereum protocol, in Rust

    reth is a modular, blazing-fast Ethereum execution client written in Rust, developed by Paradigm. It implements the Ethereum protocol from scratch with a focus on speed, security, and modularity, providing a modern alternative to legacy clients like Geth or Besu. reth is optimized for running full nodes, indexing, and light clients, and is intended to be integrated easily into Ethereum infrastructure. With parallelized execution and efficient state management, reth supports both archival and...
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  • 7
    LitGPT

    LitGPT

    20+ high-performance LLMs with recipes to pretrain, finetune at scale

    LitGPT is a collection of over 20 high-performance large language models (LLMs) accompanied by recipes to pretrain, finetune, and deploy them at scale. It provides implementations without abstractions, making it beginner-friendly while offering advanced features like flash attention and support for various precision levels. LitGPT is designed to run efficiently across multiple GPUs or TPUs, catering to both small-scale and large-scale deployments.
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  • 8
    ManiSkill

    ManiSkill

    SAPIEN Manipulation Skill Framework

    ManiSkill is a benchmark platform for training and evaluating reinforcement learning agents on dexterous manipulation tasks using physics-based simulations. Developed by Hao Su Lab, it focuses on robotic manipulation with diverse, high-quality 3D tasks designed to challenge perception, control, and planning in robotics. ManiSkill provides both low-level control and visual observation spaces for realistic learning scenarios.
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  • 9
    EnvPool

    EnvPool

    C++-based high-performance parallel environment execution engine

    EnvPool is a fast, asynchronous, and parallel RL environment library designed for scaling reinforcement learning experiments. Developed by SAIL at Singapore, it leverages C++ backend and Python frontend for extremely high-speed environment interaction, supporting thousands of environments running in parallel on a single machine. It's compatible with Gymnasium API and RLlib, making it suitable for scalable training pipelines.
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  • 10
    FastAgency

    FastAgency

    The fastest way to bring multi-agent workflows to production

    FastAgency is a framework that simplifies the creation and deployment of AI-driven automation agents. It provides a structured environment for developing AI assistants capable of handling various business and technical tasks.
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  • 11
    CSGHub

    CSGHub

    CSGHub is a brand-new open-source platform for managing LLMs

    CSGHub is an open-source framework designed for collaborative scientific research and content generation. It enables researchers to utilize AI-driven tools for literature review, hypothesis generation, and automated writing assistance, streamlining the scientific discovery process.
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  • 12
    DataProfiler

    DataProfiler

    Extract schema, statistics and entities from datasets

    DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and...
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  • 13
    Automatic text summarizer

    Automatic text summarizer

    Module for automatic summarization of text documents and HTML pages

    Sumy is an automatic text summarization library that provides multiple algorithms for extracting key content from documents and articles. Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains a simple evaluation framework for text summaries. Implemented summarization methods are described in the documentation. I also maintain a list of alternative implementations of the summarizers in various programming languages.
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  • 14
    DevOps Basics

    DevOps Basics

    Practical and document place for DevOps toolchain

    You are new to DevOps or want to learn some DevOps tools, or you are already a DevOps engineer, and you are looking for DevOps documents and a place to practice DevOps tools? This repository will assist you in enhancing your DevOps skills and serve as a bookmark for documents related to DevOps.
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  • 15
    Alerta

    Alerta

    Alerta monitoring system

    Email was not designed to be used as an alert console. It is not a scalable solution when it comes to monitoring and alert visualization. A minimal installation of Alerta can be deployed quickly and easily as monitoring requirements and confidence grow. There are integrations available with Prometheus, Riemann, Nagios, Zabbix, netdata, Sensu, Pingdom and Cloudwatch. Integrating bespoke systems is easy using the API or command-line tool. Alerts are submitted in JSON format to an HTTP API....
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  • 16
    Ragas

    Ragas

    Supercharge Your LLM Application Evaluations

    Objective metrics, intelligent test generation, and data-driven insights for LLM apps. Ragas is your ultimate toolkit for evaluating and optimizing Large Language Model (LLM) applications. Say goodbye to time-consuming, subjective assessments and hello to data-driven, efficient evaluation workflows. Don't have a test dataset ready? We also do production-aligned test set generation.
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  • 17
    julep

    julep

    A new DSL and server for AI agents and multi-step tasks

    Julep is a platform for creating AI agents that remember past interactions and can perform complex tasks. It offers long-term memory and manages multi-step processes. Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs. While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios.
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  • 18
    DynamixelSDK

    DynamixelSDK

    ROBOTIS Dynamixel SDK (Protocol1.0/2.0)

    DYNAMIXEL SDK is a software development kit that provides DYNAMIXEL control functions using packet communication. The API of DYNAMIXEL SDK is designed for DYNAMIXEL actuators and DYNAMIXEL-based platforms. You need to be familiar with C/C++ programming language for right use of the software. This e-Manual provides comprehensive information on ROBOTIS products and applications.
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  • 19
    KubeAI

    KubeAI

    Private Open AI on Kubernetes

    Get inferencing running on Kubernetes: LLMs, Embeddings, Speech-to-Text. KubeAI serves an OpenAI compatible HTTP API. Admins can configure ML models by using the Model Kubernetes Custom Resources. KubeAI can be thought of as a Model Operator (See Operator Pattern) that manages vLLM and Ollama servers.
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  • 20
    Log4brains

    Log4brains

    Log and publish your architecture decisions (ADR)

    Log4brains is a docs-as-code knowledge base for your development and infrastructure projects. It enables you to log Architecture Decision Records (ADR) right from your IDE and to publish them automatically as a static website.
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  • 21
    tremor

    tremor

    React components to build charts and dashboards

    React components to build charts and dashboards 20+ open-source components built on top of Tailwind CSS to make visualizing data simple again. Fully open-source, accessible, and customizable. Tremor NPM 20+ open-source components built on top of Tailwind CSS to make visualizing data simple again. Fully open-source, made by data scientists and software engineers with a sweet spot for design.
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  • 22
    Voqal

    Voqal

    Natural speech programming assistant for the software developers

    Voqal is a programming assistant built for software developers looking to enhance their productivity with natural speech programming. Using Voqal, you can navigate, write, run, and debug software in JetBrains IDEs using your voice. Write code faster, reduce repetitive strain injuries, and improve focus and productivity. Voqal is promptable and privacy-focused, allowing you to customize your experience and control your data.
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  • 23
    FluentDocker

    FluentDocker

    Use docker, docker-compose local and remote in tests

    This library enables docker and docker-compose interactions using a Fluent API. It is supported on Linux, Windows, and Mac. It also has support for the legazy docker-machine interactions. The fluent API builds up one or more services. Each service may be composite or singular. Therefore it is possible to e.g. fire up several docker-compose-based services and manage each of them as a single service or dig in and use all underlying services on each docker-compose service.
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  • 24
    Lepton AI

    Lepton AI

    A Pythonic framework to simplify AI service building

    A Pythonic framework to simplify AI service building. Cutting-edge AI inference and training, unmatched cloud-native experience, and top-tier GPU infrastructure. Ensure 99.9% uptime with comprehensive health checks and automatic repairs.
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  • 25
    LinuxKit

    LinuxKit

    A toolkit for building secure, portable and lean operating systems

    LinuxKit, is a toolkit for building custom minimal, immutable Linux distributions. A toolkit for building secure, portable, and lean operating systems for containers. Designed for building and running clustered applications, including but not limited to container orchestration such as Docker or Kubernetes. Designed from the experience of building Docker Editions, but redesigned as a general-purpose toolkit. Designed to be managed by external tooling, such as Infrakit (renamed to deploykit...
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