Search Results for "commons-logging" - Page 16
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Showing 4646 open source projects for "commons-logging"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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StoryGen Atelier
AI-assisted storyboard and video generation tool
StoryGen Atelier is an advanced creative tool that blends AI with visual storytelling, making it possible to generate fully structured storyboards and stitched videos from text prompts without requiring manual art or animation skills. Users begin with natural language descriptions of their story or scene, and the system uses state-of-the-art large models to generate both the script and corresponding frames. Once individual frames are created, a second AI model generates transition clips that... -
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Software Design in Haskell
Software Design in Haskell
...Readers encounter multiple styles—MTL/typeclass constraints, tagless-final encodings, free and freer monads, ReaderT-style application environments—and learn when to apply each. The examples emphasize explicit boundaries for infrastructure concerns such as persistence, logging, configuration, and external services to keep business logic clean. Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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Koa
Expressive middleware for node.js using ES2017 async functions
...The framework exposes a refined Context object to standardize request and response utilities without obscuring Node’s primitives. This design encourages readable middleware, robust error handling, and straightforward composition for tasks like authentication, logging, and body parsing. In production, Koa’s simplicity and async-first approach translate to predictable performance and maintainable server code. -
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Plug
Compose web applications with functions
...It defines a standard connection interface, allowing developers to create “plugs” that act as middleware for handling requests and responses. Examples include parsing parameters, managing sessions, logging, or authentication, all of which can be plugged into a pipeline. Plug serves as the foundation for the Phoenix framework, which builds on it to deliver a full-featured web stack. The library supports both synchronous and streaming responses, making it adaptable to various web scenarios. Its modularity and composability promote clean, reusable code while remaining lightweight enough for microservices and APIs outside of Phoenix. -
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Free Templates for AWS CloudFormation
Free templates for AWS CloudFormation
Speed up development and migration, reuse our templates to create complex environments for common use cases with ease. Rely on high-quality infrastructure templates: peer-reviewed by an expert (certified AWS solutions architect Professional) and verified with automated tests. You can apply updates to an existing stack with an updated template. CloudFormation will figure out what needs to be changed. Never make manual changes to infrastructure managed by CloudFormation! The bastion host has a... -
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Hydra Framework
Framework for elegantly configuring complex applications
Hydra lets you focus on the problem at hand instead of spending time on boilerplate code like command-line flags, loading configuration files, logging etc. With Hydra, you can compose your configuration dynamically, enabling you to easily get the perfect configuration for each run. You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files. Hydra has a pluggable architecture, enabling it to integrate with your infrastructure. ... -
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log4cplus
Logging Framework for C++
log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API. -
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Actix Web
Actix Web is a powerful, pragmatic, and extremely fast web framework
Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust. Forget about strongly typed objects, from request to response, everything has types. Actix provides a lot of features out of the box. HTTP/2, logging, etc. Easily create your own libraries that any Actix application can use. Getting started with Actix is easy. An Actix app comes with a URL routing system that lets you match on URLs and invoke individual handlers. -
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Games on GitHub
A list of games, add-ons, maps, etc. hosted on GitHub
Games on GitHub is an archived GitHub repository that collects open-source games, game add-ons, maps, hacks, engines, libraries, and related tools. It started as a community list and grew into one of the most visible open-source gaming collections on GitHub. The repository is organized by categories such as browser-based games, native games, mobile games, chat bots, source-only projects, frameworks, engines, libraries, plugins, utilities, and related resources. It includes projects across... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Agentex
Open source codebase for Scale Agentex
AgentEX is an open framework from Scale for building, running, and evaluating agentic workflows, with an emphasis on reproducibility and measurable outcomes rather than ad-hoc demos. It treats an “agent” as a composition of a policy (the LLM), tools, memory, and an execution runtime so you can test the whole loop, not just prompting. The repo focuses on structured experiments: standardized tasks, canonical tool interfaces, and logs that make it possible to compare models, prompts, and tool... -
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Koog
Koog is the official Kotlin framework for building AI agents
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs.... -
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Light-4J
A fast, lightweight and more productive microservices framework
Light means lightweight, lightning-fast and shedding light on how to program with modern Java SE for cloud-native deployment. I had been working on the Java EE platforms since early 2000 and suffered performance and productivity issues. In 2014, I realized that the IT industry was moving from Monolithic to Microservices and from on-premise data centers to the public clouds. To reduce the production cost for my applications, I need to find a lightweight platform that has a small memory... -
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CacheManager
CacheManager is an open source caching abstraction layer for .NET
CacheManager is an open source caching framework for .NET written in C# and is available via NuGet. It supports various cache providers and implements many advanced features. A simple but very efficient implementation. This handle is faster than any other in most scenarios and works cross-platform. Two implementations are available, based on System.Runtime.Caching and based on the new Microsoft.Extensions.Caching.Memory package. Redis can be used as an extremely fast and reliable... -
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Eclair
A scala implementation of the Lightning Network
Eclair (French for Lightning) is a Scala implementation of the Lightning Network. This software follows the Lightning Network Specifications (BOLTs). Other implementations include c-lightning, lnd, electrum, and rust-lightning. Eclair offers a feature-rich HTTP API that enables application developers to easily integrate. Eclair's JSON API should NOT be accessible from the outside world (similarly to Bitcoin Core API). Eclair requires Bitcoin Core 0.20.1 or 0.21.1. (other versions of Bitcoin... -
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Desktop Commander MCP
AI-powered MCP server for desktop file and terminal automation
Desktop Commander MCP is an advanced Model Context Protocol server designed to extend AI assistants with direct control over a user’s local machine, including the file system and terminal. It integrates with clients like Claude Desktop to enable AI-driven workflows such as editing files, executing commands, and automating development tasks from a single conversational interface. Desktop Commander MCP builds on top of an MCP filesystem server and enhances it with powerful search, replace, and... -
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go-systemd
Go bindings to systemd socket activation, journal, D-Bus
...Activation, for writing and using socket activation from Go. Daemon, for notifying systemd of service status changes. Dbus, for starting/stopping/inspecting running services and units. Journal, for writing to systemd's logging service, journals. Sdjournal, for reading from journald by wrapping its C API. Login1, for integration with the systemd logind API. Machine1, for registering machines/containers with systems. Unit, for (de)serialization and comparison of unit files. The daemon package is an implementation of the sd_notify protocol. It can be used to inform systemd of service start-up completion, watchdog events, and other status changes. ... -
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Azure SDK for JavaScript
This repository is for active development of the Azure SDK for JS
This repository is for the Azure SDK for JavaScript (Node.js & Browser). It contains libraries for the breadth of Azure services. Management libraries are packages that you would use to provision and manage Azure resources. Client libraries are packages that you would use to consume these resources and interact with them. The readme for each package contains code samples and package information. This readme can be found in the corresponding package folder under the folder of the service of... -
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Cookiecutter Django
Framework for jumpstarting production-ready Django projects quickly
Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Cookiecutter Django works with Python 3.9 and renders Django projects with 100% starting test coverage. It has 12-Factor based settings via django-environment. Secure by default, beacuse we believe in SSL. Optimized development and production settings. Registration is handled via django-allauth. It comes with custom user model ready to go. Provides an optional basic ASGI... -
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CRAB
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model
CRAB (Composable and Reusable Autonomous Bots) is a framework for building modular, reusable AI agents that can perform complex tasks in various domains. It focuses on creating AI-driven workflows that can be composed of multiple autonomous agents working together. -
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App Compose
Create scalable, module-based applications with ease
Create scalable, module-based applications with ease. Modern applications thrive on modular architecture, adapting seamlessly to evolving business needs. To achieve true modularity, though, you need more than just independent components—you need an efficient way to bring them together. This means controlling how modules load, in what order, and with which dependencies. It gets even trickier when you want to turn off parts of the system without any traces in the code, like if/else statements,... -
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Output
TypeScript framework for building AI workflows and agents
Output is an open-source TypeScript framework designed to build, orchestrate, and manage AI workflows and agents within a single unified system. It consolidates multiple aspects of AI development, including prompt management, evaluation, tracing, cost tracking, and orchestration, into a file-based architecture that lives entirely within the codebase. The framework is built specifically to work with AI coding agents, enabling them to read, modify, and execute workflows directly from... -
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Deckhouse
Kubernetes platform from Flant
Deckhouse is a Kubernetes platform that allows you to create homogeneous K8s clusters on any infrastructure. It manages clusters comprehensively and “automagically” and provides all necessary modules and add-ons for autoscaling, observability, security, and service mesh implementation. Deckhouse has vanilla Kubernetes under the hood and integrates a balanced set of Open Source tools that have become the industry standard. Out-of-the-box secure configuration of the Kubernetes cluster, least... -
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werf
The CLI tool gluing Git, Docker, Helm, and Kubernetes
werf is an Open Source CLI tool written in Go, designed to simplify and speed up the delivery of applications. To use it, you need to describe the configuration of your application (in other words, how to build and deploy it to Kubernetes) and store it in a Git repo, the latter acts as a single source of truth. In short, that's what we call GitOps today. werf is not a complete CI/CD solution, but a tool for creating pipelines that can be embedded into any existing CI/CD system. It literally... -
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linen.dev
Lightweight Google-searchable Slack alternative for Communities
linen.dev is an open-source community platform that makes Slack and Discord discussions searchable on the web. It syncs public community threads into an SEO-friendly website so users can discover answers without joining or logging in. The project is designed to reduce repeated questions by turning community conversations into persistent knowledge pages. It can also support branded community pages, custom domains, redirects, and public discovery for paid deployments. Linen focuses on preserving useful public discussion while limiting the amount of private member information it stores. ... -
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Napkin Math
Techniques and numbers for estimating system's performance
...The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume. It treats these values as rounded numbers for reasoning rather than exact performance guarantees. The repository is especially useful for system design interviews, architecture planning, capacity estimation, and infrastructure cost discussions. It encourages engineers to practice estimation as a skill so they can reason about systems before building or benchmarking them.