Search Results for "structure" - Page 11
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Showing 968 open source projects for "structure"
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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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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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MooseStack
The developer framework for building analytical backends
MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around linting, testing, and packaging are prewired so developers can focus on features rather than wiring. ... -
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YData Synthetic
Synthetic data generators for tabular and time-series data
...Several example Jupyter Notebooks and Python scripts are included, to show how to use the different architectures. YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards. -
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Refine
Build your React-based CRUD applications, without constraints
With Refine you can have it all without compromising your freedom or facing constraints. Refine is headless by design. It doesn’t ship with any pre-styled components or UI by default. Instead, you can use any custom design or UI framework for 100% control over styling. Not ready for going headless yet? No problem. Refine supports four powerful UI frameworks out-of-the box. Refine is a React-based framework for the rapid development of web applications. It eliminates repetitive tasks demanded... -
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Goyave
Elegant Golang REST API Framework (v5 WIP)
...It has a philosophy of cleanliness and conciseness to make programs more elegant, easier to maintain and more focused. Get started quickly and master all its powerful functionalities thanks to its extensive documentation. Goyave has an expressive, elegant syntax, a robust structure and conventions. Minimalist calls and reduced redundancy are among Goyave's core principles. Develop faster and concentrate on the business logic of your application thanks to the many helpers and built-in functions. Goyave is accessible, yet powerful. The framework includes routing, request parsing, validation, localization, testing, authentication, error handling and more! -
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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Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
...Also, contains separate JSON files with additional country Emoji flags data. This version changes a lot in the data structures and placement of the files. So, if your projects depend on the old structure — specify previous versions, <2.0.0. Country item languages field is an Array in JSON files to easily count and match items with a Language item. But currency and phone calling codes may be a comma-separated String. Languages list only contains languages used in Countries data. Full list of known languages is exported as languagesAll from .... -
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Rancher UI
Rancher UI
...If there is no way for you to get to what you want to change from an addon, PRs to this repo that add generalized hooks so that you can are accepted. Rancher UI uses Ember CLI Pods for its project structure. We suggest reading the documentation if you have questions about the layout of the Rancher UI project. -
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Elixir Language Server
A frontend-independent IDE "smartness" server for Elixir
...These pages contain all the information needed to configure your favorite text editor or IDE and to work with the ElixirLS. You will also find instructions on how to configure the server to recognize the structure of your projects and to troubleshoot your installation when things do not work as expected. -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured JSON responses, making it easy for developers, scripts, and AI agents to process results programmatically. ... -
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VT Code
VT Code - semantic AI coding agent
...It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. 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. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Python-Spider
Python3 web crawler practice
Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe... -
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Jenkins-Zero-To-Hero
Install Jenkins and configure Docker
...The course is designed around running Jenkins on an AWS EC2 instance, guiding you through installing Java, configuring Jenkins, and exposing it safely via security group rules. From there, it covers installing plugins like Docker Pipeline, configuring Docker as an agent, and wiring up multi-stage and multi-agent pipelines. The folder structure includes practical examples such as java-maven-sonar-argocd-helm-k8s and python-jenkins-argocd-k8s, showing real CI/CD flows that build, test, analyze, containerize, and deploy apps to Kubernetes via Argo CD in a GitOps style. The README walks through detailed step-by-step commands and screenshots, making it accessible to beginners who are unfamiliar with Jenkins, AWS, or pipelines. -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
EasyR1 is a streamlined training framework for building “R1-style” reasoning models from open-source LLMs with minimal boilerplate. It focuses on the full reasoning stack—data preparation, supervised fine-tuning, preference or outcome-based optimization, and lightweight evaluation—so you can iterate quickly on chain-of-thought–heavy tasks. The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments... -
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guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
The guide-rpc-framework is a Java implementation of a Remote Procedure Call (RPC) framework built on Netty, Kyro (for serialization), and Zookeeper (for service discovery and coordination). It’s aimed primarily at learners and practitioners of distributed systems who want to see how you might build an RPC system from first principles rather than just use an existing library. The project provides code for client-side stubs, server-side skeletons, method dispatching, serialization, load... -
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Infosec Reference
An Information Security Reference That Doesn't Suck
Infosec Reference is a curated knowledge base and resource repository for information security practitioners. It aggregates cheat sheets, tooling guides, protocol deep dives, incident response playbooks, and threat actor profiles—all organized under accessible categories (network, web, host, cryptography, auditing). The repo is built as a living wiki of sorts: practitioners contribute updates, expand sections, or refine explanations as the threat landscape evolves. Because security spans... -
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Scalaz
Principled Functional Programming in Scala
...It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. ... -
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Kotlin Dataframe
Structured data processing in Kotlin
Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data... -
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GraphQL Tools
Build, mock, and stitch a GraphQL schema using the schema language
GraphQL Tools is a set of NPM packages and an opinionated structure for how to build a GraphQL schema and resolvers in JavaScript, following the GraphQL-first development workflow. Use the GraphQL schema definition language to generate a schema with full support for resolvers, interfaces, unions, and custom scalars. With GraphQL Tools, you can mock your GraphQL API with fine-grained per-type mocking for fast prototyping without any data sources. -
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Zotonic
The Erlang Web Framework & CMS
...Your data outlives your website. Grow your data and share your data. The Zotonic content management system excels in managing structured data from multiple sources. It brings structure to your documents and makes semantic data manageable for normal humans. Real-time connectivity is deeply integrated using the Internet of Things publish/subscribe protocol MQTT. You can rapidly develop CMS-based sites on top of Zotonic. If you need more flexibility, you can customize all aspects of Zotonic. The included web server means can start working with Zotonic right away, without the need for installing Apache or Nginx separately. ... -
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Pastel
Next.js-like framework for CLIs made with Ink
Pastel is a framework for building rich command-line applications using React (via Ink), offering a Next.js-like developer experience for CLIs. Instead of wiring up argument parsers, help output, and subcommands manually, you structure your CLI as a file-based command tree and focus on writing components that render the interface. Pastel parses and validates command options using Zod schemas, giving you typed, declarative option definitions that also power automatic help messages. It wraps up common CLI concerns such as argument parsing, routing to the appropriate command component, validation, and error handling, so you can concentrate on the command’s behavior and UI. ... -
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_s
Inactive project
...It provides semantic templates, accessibility-minded markup, and a minimal stylesheet that sets sensible defaults without imposing a visual identity. The codebase includes template tags, custom header and menu scaffolding, widget areas, and translation-ready strings to speed up common theme tasks. Its structure is intentionally opinionated about where code lives and how templates compose, which makes large customizations predictable and maintainable. Developers can opt into Sass and build helpers, but the theme is usable as a lightweight baseline even without a complex toolchain. Because it avoids design flourishes, Underscores encourages teams to layer their branding and components on top of a solid, well-documented skeleton that tracks WordPress best practices. -
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box
Write reusable, composable and modular R code
box is an R package providing a modular system / module loader for organizing reusable R code outside of full packages. It allows users to treat R scripts (files/folders) as modules — possibly nested — with explicit exports, imports, and scoping. The idea is to let users structure code in a more modular, composable way, without needing every reusable component to be a full CRAN-style package. It also provides a cleaner syntax for importing functions or modules (via box::use) that allows scoping control and avoids global pollution. Such modules can be stored in a central module search path (configured via options('box.path')) analogous to the R package library, or locally in individual projects. ... -
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CodeBehind Framework
CodeBehind is a modern back-end framework under ASP.NET Core.
...CodeBehind is an engineering masterpiece that simultaneously provides the possibility of development based on MVC, Model-View, Controller-View, only View, and Web-Forms. The type of structure and naming in CodeBehind is nostalgia and reminds me of former Microsoft Web-Forms. The aspx extension is the files of the view section in the CodeBehind framework and they support standard syntax (<%=Standard%>) and Razor syntax (@Razor). This framework guarantees the separation of server-side codes from the design part (HTML) and there is no need to write server-side codes in the view. -
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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. It's certainly easy... -
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AWX
A web-based user interface built on top of Ansible
...AWX can also alternatively be installed and run in Docker, but this install path is only recommended for development/test-oriented deployments, and has no official published release. Uses naming and structure consistent with the AWX HTTP API. Provides consistent output formats with optional machine-parsable formats. To the extent possible, auto-detects API versions, available endpoints, and feature support across multiple versions of AWX. Potential uses include configuring and launching jobs/playbooks, checking on the status and output of job runs, and managing objects like organizations, users, teams, etc. -
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LangChain for .NET
C# implementation of LangChain
...The framework supports integration with multiple providers, including OpenAI and other compatible APIs, and includes tools for embeddings, document loading, and vector database interaction. It also provides both low-level async APIs and higher-level chain abstractions, giving developers flexibility in how they structure their applications. With built-in support for retrieval-augmented generation and structured pipelines, LangChain .NET is designed for production-ready AI systems.
