Search Results for "simple-xml" - Page 80
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Showing 25388 open source projects for "simple-xml"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Spring Cloud Netflix
Integration with Netflix OSS components
This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). Service Discovery is one of the key tenets of a microservice-based architecture. ... -
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Self-Hosted Sentry nightly
Sentry, feature-complete and packaged up for low-volume deployments
In addition to making its source code available publicly, Sentry offers and maintains a minimal setup that works out-of-the-box for simple use cases. This repository also serves as a blueprint for how various Sentry services connect for a complete setup, which is useful for folks willing to maintain larger installations. For the sake of simplicity, we have chosen to use Docker and Docker Compose for this, along with a bash-based install and upgrade script. Environment specific configurations can be done in the .env.custom file. ... -
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elasticsearc-php
PHP low-level client for Elasticsearch
...It does not want to hide or replace the functionality of the Elasticsearch PHP client. Feature complete, object oriented, composable, extendable Elasticsearch query DSL builder for PHP. Deliberately built to be as simple as possible, easily usable and with explicit naming. Elasticsearch Bundle was created in order to serve the need for professional Elasticsearch integration with enterprise level Symfony 2 systems. Automatically generate mappings using a serializer. Listeners for Doctrine events for automatic indexing. -
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Watchdog
Python library and shell utilities to monitor filesystem events
Python API library and shell utilities to monitor file system events. A simple program that uses watchdog to monitor directories specified as command-line arguments and logs events generated. Watchdog comes with an optional utility script called watchmedo. Please type watchmedo --help at the shell prompt to know more about this tool. You can use the shell-command subcommand to execute shell commands in response to events. watchmedo can read tricks.yaml files and execute tricks within them in response to file system events. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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thumbor
An open-source photo thumbnail service by globo.com
...Everytime a face is detected, it will crop the image around it, making sure the most important parts of the picture are preserved. Thumbor allows users to store and load images from anywhere needed. It's really simple to implement a new loader or storage. It comes packaged with file, http, redis and mongo implementations for loaders and storages. Just pick what makes sense for you or implement your own. -
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navi
An interactive cheatsheet tool for the command-line
navi allows you to browse through cheatsheets (that you may write yourself or download from maintainers) and execute commands. Suggested values for arguments are dynamically displayed in a list. it will spare you from knowing CLIs by heart. It will spare you from copy-pasting output from intermediate commands. It will make you type less. It will teach you new one-liners. It uses fzf, skim, or Alfred under the hood and it can be either used as a command or as a shell widget (à la Ctrl-R).... -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. ... -
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n
Node version management
Node.js version management: no subshells, no profile setup, no convoluted API, just simple. n is not supported natively on Windows. There are a variety of ways of specifying the target Node.js version for n commands. Most commands use the latest matching version, and n ls-remote lists multiple matching versions. n downloads a prebuilt Node.js package and installs to a single prefix (e.g. /usr/local). This overwrites the previous version. -
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rustlings
Small exercises to get you used to reading and writing Rust code
...For every topic there is an additional README file with some resources to get you started on the topic. We really recommend that you have a look at them before you start. The task is simple. Most exercises contain an error that keeps them from compiling, and it's up to you to fix it! Some exercises are also run as tests, but rustlings handles them all the same. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Dokku
PaaS implementation to build and manage the lifecycle of applications
...The end result is your own, single-host version of Heroku. Extensible Platform. Customize your PaaS. Write dokku plugins in any language. Share them online with others, and extend those already available. Dokku's simple core is easy to hack and add the features you need to get your job done. -
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Simple Backup
This UNIX program backups files and directories, to a directory.
Simple Backup can be used to backup and compress, files and directories, to a destination directory. Usage: simplebackup SOURCE1 SOURCE2... SOURCEn DESTINATION_DIRECTORY It creates a new directory with a date stamp in its name. Simple Backup works with Linux, macOS, and FreeBSD. ------------------------------------------------------------------------------------------------------ To restore data from a Simple Backup archive, one can use tar -xf Note: Simple Backup needs zstd (Zstandard) to be installed, usually with the package manager of your distribution. -
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VT Code
VT Code - semantic AI coding agent
...The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. VTCode operates as an agent rather than a simple autocomplete tool, meaning it can interpret user intent, navigate codebases, and assist with multi-step tasks. It is highly configurable, allowing developers to define behavior, prompts, and workflows tailored to their projects. The tool is especially useful for developers who prefer lightweight, local-first environments but still want advanced AI assistance comparable to modern IDE-based tools. -
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Coinbase Agentic Wallet Skills
npx skills add coinbase/agentic-wallet-skills
Coinbase Agentic Wallet Skills project is a modular skill library developed by Coinbase as part of its Agentic Wallet ecosystem, designed to give AI agents direct access to on-chain financial operations through a standardized and reusable interface. It provides a set of pre-built “skills” that abstract complex blockchain interactions into simple, callable capabilities, allowing agents to authenticate, manage funds, and execute transactions without requiring developers to implement low-level logic. These skills are designed to integrate seamlessly with the awal CLI and agent frameworks, enabling rapid deployment of wallet-enabled AI systems with minimal setup. The architecture is centered on composability, where each skill represents a discrete capability such as sending stablecoins, trading tokens, or interacting with paid APIs. ... -
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Build Your Own OpenClaw
A step-by-step guide to build your own AI agent
Build Your Own OpenClaw is a step-by-step educational framework that teaches developers how to construct a fully functional AI agent system from scratch, gradually evolving from a simple chat loop into a multi-agent, production-ready architecture. The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable code. It begins with foundational concepts like conversational loops and tool integration, then expands into more advanced capabilities such as dynamic skill loading, web interaction, and context management. ... -
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AI Marketing Skills
Open-source AI marketing skills for Claude Code
AI Marketing Skills is a comprehensive open-source framework designed to transform AI agents into fully operational marketing and sales systems by equipping them with structured, reusable “skills” that automate real business workflows. Instead of simple prompts, the project provides complete operational modules that include scripts, scoring systems, and decision-making logic, allowing AI tools like Claude Code to execute complex marketing tasks end-to-end. The system is organized into multiple domains such as growth experimentation, sales pipeline generation, content production, outbound marketing, SEO optimization, and financial analysis, effectively covering the entire revenue lifecycle of a business. ... -
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EverMemOS
Long-term memory OS for AI with structured recall and context awarenes
...Its architecture combines memory storage, indexing, and retrieval with agent-level reasoning, allowing AI systems to make informed decisions based on prior interactions. EverMemOS goes beyond simple retrieval by actively applying stored knowledge to current tasks, improving personalization and consistency. EverMemOS uses a multi-stage memory lifecycle to convert raw dialogue into structured semantic data, supporting long-horizon reasoning and adaptive behavior across sessions. -
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Generative AI for Beginners .NET
Hands-on .NET course for building real-world generative AI apps
...Developers can run examples locally or in cloud-based environments such as GitHub Codespaces. It focuses on practical implementation rather than theory, helping users move from simple experiments to complete AI-powered solutions while understanding responsible AI usage and modern development workflows. -
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Koila
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code
Koila is a lightweight Python library designed to help developers avoid memory errors when training deep learning models with PyTorch. The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward... -
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JamAI Base
The collaborative spreadsheet for AI
...It includes built-in orchestration for large language models, vector search, and reranking pipelines so that AI applications can retrieve relevant information before generating responses. JamAI Base exposes its functionality through a simple REST API and a spreadsheet-style interface that allows users to manage AI workflows visually. One of the key ideas behind the platform is the concept of generative tables, which allow database columns to automatically populate with AI-generated content. The system also supports action tables and chat tables that simplify the creation of interactive AI features such as conversational interfaces and dynamic workflows. -
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autoresearch
AI agents autonomously run and improve ML experiments overnight
...Each experiment runs for a fixed five-minute training window, enabling rapid iteration and consistent comparison across architectural or hyperparameter changes. The system centers on a simple workflow where the agent modifies a single training file while human researchers guide the process through a program.md instruction file. Designed to run on a single GPU, it keeps the research loop minimal and self-contained to make autonomous experimentation practical. Over time, the agent logs experiments, evaluates improvements, and gradually evolves the model through automated trial-and-error. -
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Pal
A personal context-agent that learns how you work
...The system acts as an AI-powered “second brain” capable of capturing, organizing, and retrieving personal knowledge such as notes, bookmarks, research findings, people, and meeting information. Instead of acting as a simple chatbot, Pal continuously builds a structured database of a user’s knowledge and context so it can answer questions, recall information, and assist with future tasks more effectively. The agent can perform web research, summarize information, and store insights so that useful discoveries are not lost across conversations or sessions. ... -
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handy-ollama
Implement CPU from scratch and play with large model deployments
...A key focus of the project is enabling users to run large models even without GPUs by leveraging optimized CPU-based inference pipelines. The project includes step-by-step guides that walk learners through tasks such as installing Ollama, managing local models, calling model APIs, and building simple AI applications on top of locally hosted models. Through hands-on exercises and practical examples, the tutorial demonstrates how developers can create applications like chat assistants or retrieval systems using locally deployed models. -
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Anthony Fu's Skills
Anthony Fu's curated collection of agent skills
Anthony Fu's Skills is an open-source collection of agent skills — modular instruction packages that teach AI coding assistants how to perform specific tasks automatically when relevant. These skills are typically simple, human-readable files that contain structured steps, rules, examples, and workflow logic, letting tools like Claude Code or Copilot CLI load and run them only when they apply to the user’s input. By offloading detailed task patterns into discrete skill modules, developers can greatly extend what coding agents can do without retraining the underlying language model itself. ... -
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Aimeos Laravel ecommerce package
Laravel ecommerce package for ultra fast online shops
...It is designed to be installed into an existing Laravel app within minutes, providing routes, views, configuration, and an admin backend that plugs into Laravel’s ecosystem. The package supports multi-vendor, multi-channel, and multi-warehouse setups, so you can build everything from simple single-storefront shops to large multi-tenant SaaS marketplaces with millions of products. Performance is a core focus: the platform is engineered for extremely fast response times, and it can scale to billions of items, making it suitable for high-traffic, enterprise deployments. Feature-wise, it covers a broad range of product types (bundles, vouchers, virtual, configurable, event products), subscription handling with recurring payments. -
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Cake
Distributed LLM and StableDiffusion inference
...The tool is designed to work with multiple protocols and supports dynamic rule definitions so that incoming and outgoing connections can be routed, rewritten, or logged according to user-defined policies. Unlike many simple proxies, Cake can act as a full connection broker: it can bind to arbitrary interfaces, handle simultaneous upstream/downstream sessions, and apply traffic rules on the fly. This makes it suitable for troubleshooting tricky network behavior, simulating network conditions, or chaining services in a modular test environment.
