Search Results for "apache framework" - Page 7
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Showing 2067 open source projects for "apache framework"
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HumbleUI
Clojure Desktop UI framework
HumbleUI is a lightweight, declarative, and composable UI framework, likely intended for building graphical user interfaces in a minimal, modular way. It emphasizes ease of use, customization, and modular components. (Note: while there is a repository, I did not find a detailed README in my search to fully confirm all capabilities.) Electron is a great landmark. Normal shortcuts, icon, its own window, file system access, notifications, OS integrations. Write once, run everywhere is no longer... -
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Serverless Java container
A Java wrapper to run Spring, Spring Boot, Jersey, and other apps
The AWS Serverless Java Container library is a framework that allows developers to run existing or new Java web applications—built with frameworks such as Spring, Jersey, Spark, Struts—inside AWS Lambda with minimal modifications. It bridges the gap between traditional servlet or web-framework models and serverless functions by mapping HTTP events from API Gateway into requests your framework understands and routing responses back appropriately. This means you can keep much of your familiar... -
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Giraffe
A native functional ASP.NET Core web framework for F# developers
A functional ASP.NET Core micro web framework for building rich web applications. Giraffe is an F# micro web framework for building rich web applications. It has been heavily inspired and is similar to Suave, but has been specifically designed with ASP.NET Core in mind and can be plugged into the ASP.NET Core pipeline via middleware. Giraffe applications are composed of so called HttpHandler functions which can be thought of a mixture of Suave's WebParts and ASP.NET Core's middleware.... -
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TapeAgents
A framework that facilitates all stages of LLM development
TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents. -
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Argo Events
Event-driven Automation Framework for Kubernetes
Argo Events is an event-driven workflow automation framework for Kubernetes. It allows you to trigger 10 different actions (such as the creation of Kubernetes objects, invoking workflows or serverless workloads) on over 20 different events (such as webhook, S3 drop, cron schedule, messaging queues - e.g. Kafka, GCP PubSub, SNS, SQS). -
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Bytecoder
Framework to interpret and transpile JVM bytecode to JavaScript
Bytecoder is a Rich Domain Model for Java Bytecode and Framework to interpret and transpile it to other languages such as JavaScript, OpenCL or WebAssembly. The JVM Bytecode is parsed and transformed into an intermediate representation. This intermediate representation is passed thru optimizer stages and sent to a backend implementation for target code generation. The JavaScript backend transforms the intermediate representation into JavaScript. -
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VideoPipe
A cross-platform video structuring (video analysis) framework
VideoPipe is an open-source C++ framework designed for building modular video analysis pipelines that process and structure video data using computer vision models. It operates using a pipeline architecture where independent nodes can be combined flexibly to create customized workflows for tasks such as object detection, face recognition, and behavior analysis. The framework is designed to be lightweight and portable, with minimal dependencies compared to other video processing systems,... -
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance... -
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OpenWorkflow
Open-source TypeScript framework for building durable workflows
OpenWorkflow is a TypeScript framework for building durable, resumable application workflows that can pause for extended periods and reliably continue execution after crashes or deployments. It allows developers to define workflows as code while ensuring that each step is persisted and replay-safe, preventing duplicate work through built-in memoization and idempotency controls. The framework supports long-running processes that can sleep for seconds or months, making it suitable for... -
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Sakura Boot
Framework on top of spring-boot that helps create back-ends
This framework, built on top of Spring Boot, is designed to speed up the development of robust backends. It ensures adherence to best practices while allowing a high degree of customization. The framework is structured using a modular architecture, making it easy to add or remove features based on the project’s specific needs. While Spring Boot speeds up the development process, developers still require extensive knowledge, must ensure adherence to best practices, and often write repetitive... -
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log4rs
A highly configurable logging framework for Rust
log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature... -
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gnet
gnet is a high-performance, lightweight, networking framework
Built in Go, gnet is ultra-fast and memory efficient based on the event-driven mechanism. It's designed to create a networking server framework for Go that performs on par with Redis and Haproxy for networking packets handling. gnet is lock-free during the entire runtime, which keeps gnet free from synchronization issues and speeds it up. gnet provides concise and easy-to-use APIs for users, it only exposes the essential APIs and takes over most of the tough work for users, minimizing the... -
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WebMagic
A scalable web crawler framework for Java
WebMagic is a scalable crawler framework. It covers the whole lifecycle of crawler, downloading, url management, content extraction and persistent. It can simplify the development of a specific crawler. WebMagic is a simple but scalable crawler framework. You can develop a crawler easily based on it. WebMagic has a simple core with high flexibility, a simple API for html extracting. It also provides annotation with POJO to customize a crawler, and no configuration is needed. Some other... -
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kagent
Kubernetes native framework for building AI agents
Kagent is a Kubernetes-native framework for building, deploying, and operating AI agents as first-class cloud-native workloads. It models core agent concepts declaratively using Kubernetes custom resources, so teams can manage agents similarly to other platform components via YAML, controllers, and standard cluster workflows. In kagent’s design, an “Agent” represents a system prompt plus a set of tools and other agents, along with an LLM configuration, making the agent definition portable... -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. -
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AMP
Web component framework for building ads, emails, websites and more
AMP is an open source web component framework that allows you to easily create user-first websites, ads, emails, stories and more. AMP creates fast, smooth-loading web pages that prioritize the user-experience, consistently providing a fast experience across all devices and platforms. -
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PartiQL Lang Kotlin
PartiQL libraries and tools in Kotlin.
This is a Kotlin implementation of the PartiQL specification. PartiQL is based on SQL-92 and has added support for working with schemaless hierarchical data. PartiQL’s extensions to SQL are easy to understand, treat nested data as first-class citizens, and compose seamlessly with each other and SQL. This repository contains an embeddable reference interpreter, test framework, and tests for PartiQL in Kotlin. -
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Tauri
Build smaller, faster, and more secure desktop applications
Tauri is an open-source framework for building lightweight and high-performance desktop and mobile applications using web technologies. It allows developers to create user interfaces with HTML, CSS, and JavaScript while using Rust for the backend logic. By leveraging the operating system’s native WebView instead of bundling a full browser, Tauri produces significantly smaller and more efficient application binaries. The framework supports multiple front-end frameworks such as React, Vue,... -
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Cirq
A python framework for creating, editing, and invoking NISQ
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators. -
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Lagent
A lightweight framework for building LLM-based agents
Lagent is a lightweight open-source framework designed to help developers build autonomous agents powered by large language models. The framework provides tools and abstractions that allow language models to interact with external tools, execute tasks, and perform multi-step reasoning processes. Instead of using LLMs only for text generation, Lagent enables developers to transform models into agents capable of performing actions such as retrieving data, executing code, or interacting with... -
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BAML
The AI framework that adds the engineering to prompt engineering
BAML is an open-source framework and domain-specific language designed to bring structured engineering practices to prompt development for large language model applications. Instead of treating prompts as unstructured text, BAML introduces a schema-driven approach where prompts are defined as typed functions with explicit inputs and outputs. This design allows developers to treat language model interactions as predictable software components rather than ad-hoc prompt strings. The framework... -
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slime LLM
slime is an LLM post-training framework for RL Scaling
slime is an open-source large language model (LLM) post-training framework developed to support reinforcement learning (RL)-based scaling and high-performance training workflows for advanced LLMs, blending training and rollout modules into an extensible system. It offers a flexible architecture that connects high-throughput training (e.g., via Megatron-LM) with a customizable data generation pipeline, enabling researchers and engineers to iterate on new RL training paradigms effectively. The... -
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Lingvo
Framework for building neural networks
Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state... -
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Moby
Project for the container ecosystem to assemble containe-based systems
An open framework to assemble specialized container systems without reinventing the wheel. Moby is an open framework created by Docker to assemble specialized container systems without reinventing the wheel. It provides a “lego set” of dozens of standard components and a framework for assembling them into custom platforms. At the core of Moby is a framework to assemble specialized container systems which provides a library of containerized components for all vital aspects of a container... -
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rLLM
Democratizing Reinforcement Learning for LLMs
rLLM is an open-source framework for building and training post-training language agents via reinforcement learning — that is, using reinforcement signals to fine-tune or adapt language models (LLMs) into customizable agents for real-world tasks. With rLLM, developers can define custom “agents” and “environments,” and then train those agents via reinforcement learning workflows, possibly surpassing what vanilla fine-tuning or supervised learning might provide. The project is designed to...
