aire

Modern form builder for Laravel

Stars: 537

Visit

Aire is a modern Laravel form builder with a focus on expressive and beautiful code. It allows easy configuration of form components using fluent method calls or Blade components. Aire supports customization through config files and custom views, data binding with Eloquent models or arrays, method spoofing, CSRF token injection, server-side and client-side validation, and translations. It is designed to run on Laravel 5.8.28 and higher, with support for PHP 7.1 and higher. Aire is actively maintained and under consideration for additional features like read-only plain text, cross-browser support for custom checkboxes and radio buttons, support for Choices.js or similar libraries, improved file input handling, and better support for content prepending or appending to inputs.

README:

Aire is a modern Laravel form builder (demo) with a focus on the same expressive and beautiful code you expect from the Laravel ecosystem.

Basic Usage

The most common usage is via the Aire facade in your blade templates. All method calls are fluent, allowing for easy configuration of your form components:

{{ Aire::open()
  ->route('users.update')
  ->bind($user) }}

{{ Aire::input('given_name', 'First/Given Name')
    ->id('given_name') }}
    
{{ Aire::input('family_name', 'Last/Family Name')
    ->id('family_name')
    ->autoComplete('off') }}
  
{{ Aire::email('email', 'Email Address')
    ->helpText('Please use your company email address.') }}
  
{{ Aire::submit('Update User') }}
  
{{ Aire::close() }}

Blade Components

As of Aire 2.4.0, you can also use all Aire elements as Blade Components. The above form is identical to:

<x-aire::form route="users.update" :bind="$user">

    <x-aire::input 
        name="given_name" 
        label="First/Given Name" 
        id="given_name" 
    />
    <x-aire::input 
        name="family_name" 
        label="Last/Family Name" 
        id="family_name" 
        auto-complete="off" 
    />
    <x-aire::email 
        name="email" 
        label="Email Address" 
        help-text="Please use your company email address." 
    />
    
    <x-aire::submit label="Update User" />
    
</x-aire::form>

Installation

Install via composer with:

composer require glhd/aire

Customization

Aire comes with classes that should work with the default Tailwind class names out of the box (.bg-blue-600 etc). If you need to change the default class names for any given element, there are two different ways to go about it.

The first is to publish the aire.php config file via php artisan vendor:publish --tag=aire-config and update the default_classes config for the element you'd like to change:

return [
  'default_classes' => [
    'input' => 'text-gray-900 bg-white border rounded-sm',
  ],
];

The second option is to publish custom views via php artisan vendor:publish --tag=aire-views which gives you total control over component rendering. There's a view file for each component type (input.blade.php etc) as well as for component grouping. This gives you the most flexibility, but means that you have the maintain your views as Aire releases add new features or change component rendering.

Configuration

When you publish the aire.php config file via php artisan vendor:publish --tag=aire-config, there are a handful of other configuration options. The config file is fully documented, so go check it out!

Data Binding

Aire automatically binds old input to your form so that values are preserved if a validation error occurs. You can also bind data with the bind() method.

// Bind Eloquent models
Aire::bind(User::find(1));

// Bind an array
Aire::bind(['given_name' => 'Chris']);

// Bind any object
Aire::bind((object) ['given_name' => 'Chris']);

Binding Precedence

Binding is applied in the following order:

Values set with value() are applied no matter what
Old input is applied if available
Bound data is applied last

Method Spoofing & Inference

Aire will automatically add the Laravel _method field for forms that are not GET or POST. It will also automatically infer the intended method from the route if possible.

// In routes
Route::delete('/photos/{photo}', 'PhotosController@destroy')
	->name('photos.destroy');

// In your view
{{ Aire::open()->route('photos.destroy', $photo) }}
{{ Aire::close() }}

Will generate the resulting HTML:

<form action="/photos/1" method="POST">
<input type="hidden" name="_method" value="DELETE" />
</form>

Automatic CSRF Field

Aire will automatically inject a CSRF token if one exists and the form is not a GET form. Simply enable the session and a hidden _token field will be injected for you.

Server-Side Validation

If you run validations on the server, Aire will pick up any errors and automatically apply error classes and show error messages within the associated input's group.

You can also include an error summary, which provides an easy way to show your users an error at the top of the page if validation failed.

// Print "There are X errors on this page that you must fix before continuing."
{{ Aire::summary() }}

// Also include an itemized list of errors
{{ Aire::summary()->verbose() }}

Client-Side Validation

Javascript validation in Aire is in its early stages. Browser testing is limited, and the Javascript code hasn't had an performance optimizations applied. That said, Aire supports automatic client-side validation—simply pass an array of rules or a FormRequest object and Aire will automatically apply most rules on the client side (thanks to validatorjs!).

Laravel Version Support

Aire should run on Laravel 5.8.28 and higher, and PHP 7.1 and higher. Our policy is to test the last two major releases of PHP and Laravel, so support below that is not guaranteed.

Translations

Aire comes with support for a handful of languages (feel free to submit a PR!). If you would like to add your own translations, you can do so by publishing them with:

php artisan vendor:publish --tag=aire-translations

Under Consideration / Feature Ideas

There are a few things that are still either in-the-works or being considered for a later release. These include:

Read-only plain text
Cross-browser support for custom checkboxes and radio buttons via a config option
Support for Choices.js or similar <select> UI libraries
Better handling of file inputs
Better support for prepending or appending content to inputs

For Tasks:

Click tags to check more tools for each tasks

create forms customize form elements validate form inputs translate form content handle file inputs

For Jobs:

web developer software engineer full stack developer php developer laravel developer

Alternative AI tools for aire

Similar Open Source Tools

aire

github

: 537

web-llm

WebLLM is a modular and customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. WebLLM is fully compatible with OpenAI API. That is, you can use the same OpenAI API on any open source models locally, with functionalities including json-mode, function-calling, streaming, etc. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration.

github

: 13.1k

pg_vectorize

pg_vectorize is a Postgres extension that automates text to embeddings transformation, enabling vector search and LLM applications with minimal function calls. It integrates with popular LLMs, provides workflows for vector search and RAG, and automates Postgres triggers for updating embeddings. The tool is part of the VectorDB Stack on Tembo Cloud, offering high-level APIs for easy initialization and search.

github

: 711

HuggingFaceGuidedTourForMac

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

github

: 79

LLMUnity

LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine, allowing users to create intelligent characters for immersive player interactions. The tool supports major LLM models, runs locally without internet access, offers fast inference on CPU and GPU, and is easy to set up with a single line of code. It is free for both personal and commercial use, tested on Unity 2021 LTS, 2022 LTS, and 2023. Users can build multiple AI characters efficiently, use remote servers for processing, and customize model settings for text generation.

github

: 822

gen.nvim

gen.nvim is a tool that allows users to generate text using Language Models (LLMs) with customizable prompts. It requires Ollama with models like `llama3`, `mistral`, or `zephyr`, along with Curl for installation. Users can use the `Gen` command to generate text based on predefined or custom prompts. The tool provides key maps for easy invocation and allows for follow-up questions during conversations. Additionally, users can select a model from a list of installed models and customize prompts as needed.

github

: 1.1k

neocodeium

NeoCodeium is a free AI completion plugin powered by Codeium, designed for Neovim users. It aims to provide a smoother experience by eliminating flickering suggestions and allowing for repeatable completions using the `.` key. The plugin offers performance improvements through cache techniques, displays suggestion count labels, and supports Lua scripting. Users can customize keymaps, manage suggestions, and interact with the AI chat feature. NeoCodeium enhances code completion in Neovim, making it a valuable tool for developers seeking efficient coding assistance.

github

: 160

lantern

Lantern is an open-source PostgreSQL database extension designed to store vector data, generate embeddings, and handle vector search operations efficiently. It introduces a new index type called 'lantern_hnsw' for vector columns, which speeds up 'ORDER BY ... LIMIT' queries. Lantern utilizes the state-of-the-art HNSW implementation called usearch. Users can easily install Lantern using Docker, Homebrew, or precompiled binaries. The tool supports various distance functions, index construction parameters, and operator classes for efficient querying. Lantern offers features like embedding generation, interoperability with pgvector, parallel index creation, and external index graph generation. It aims to provide superior performance metrics compared to other similar tools and has a roadmap for future enhancements such as cloud-hosted version, hardware-accelerated distance metrics, industry-specific application templates, and support for version control and A/B testing of embeddings.

github

: 756

ollama-r

The Ollama R library provides an easy way to integrate R with Ollama for running language models locally on your machine. It supports working with standard data structures for different LLMs, offers various output formats, and enables integration with other libraries/tools. The library uses the Ollama REST API and requires the Ollama app to be installed, with GPU support for accelerating LLM inference. It is inspired by Ollama Python and JavaScript libraries, making it familiar for users of those languages. The installation process involves downloading the Ollama app, installing the 'ollamar' package, and starting the local server. Example usage includes testing connection, downloading models, generating responses, and listing available models.

github

: 69

experts

Experts.js is a tool that simplifies the creation and deployment of OpenAI's Assistants, allowing users to link them together as Tools to create a Panel of Experts system with expanded memory and attention to detail. It leverages the new Assistants API from OpenAI, which offers advanced features such as referencing attached files & images as knowledge sources, supporting instructions up to 256,000 characters, integrating with 128 tools, and utilizing the Vector Store API for efficient file search. Experts.js introduces Assistants as Tools, enabling the creation of Multi AI Agent Systems where each Tool is an LLM-backed Assistant that can take on specialized roles or fulfill complex tasks.

github

: 964

llmgraph

llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.

github

: 271

LeanCopilot

Lean Copilot is a tool that enables the use of large language models (LLMs) in Lean for proof automation. It provides features such as suggesting tactics/premises, searching for proofs, and running inference of LLMs. Users can utilize built-in models from LeanDojo or bring their own models to run locally or on the cloud. The tool supports platforms like Linux, macOS, and Windows WSL, with optional CUDA and cuDNN for GPU acceleration. Advanced users can customize behavior using Tactic APIs and Model APIs. Lean Copilot also allows users to bring their own models through ExternalGenerator or ExternalEncoder. The tool comes with caveats such as occasional crashes and issues with premise selection and proof search. Users can get in touch through GitHub Discussions for questions, bug reports, feature requests, and suggestions. The tool is designed to enhance theorem proving in Lean using LLMs.

github

: 1.0k

rtdl-num-embeddings

This repository provides the official implementation of the paper 'On Embeddings for Numerical Features in Tabular Deep Learning'. It focuses on transforming scalar continuous features into vectors before integrating them into the main backbone of tabular neural networks, showcasing improved performance. The embeddings for continuous features are shown to enhance the performance of tabular DL models and are applicable to various conventional backbones, offering efficiency comparable to Transformer-based models. The repository includes Python packages for practical usage, exploration of metrics and hyperparameters, and reproducing reported results for different algorithms and datasets.

github

: 287

zml

ZML is a high-performance AI inference stack built for production, using Zig language, MLIR, and Bazel. It allows users to create exciting AI projects, run pre-packaged models like MNIST, TinyLlama, OpenLLama, and Meta Llama, and compile models for accelerator runtimes. Users can also run tests, explore examples, and contribute to the project. ZML is licensed under the Apache 2.0 license.

github

: 1.9k

langserve

LangServe helps developers deploy `LangChain` runnables and chains as a REST API. This library is integrated with FastAPI and uses pydantic for data validation. In addition, it provides a client that can be used to call into runnables deployed on a server. A JavaScript client is available in LangChain.js.

github

: 1.9k

SpeziLLM

The Spezi LLM Swift Package includes modules that help integrate LLM-related functionality in applications. It provides tools for local LLM execution, usage of remote OpenAI-based LLMs, and LLMs running on Fog node resources within the local network. The package contains targets like SpeziLLM, SpeziLLMLocal, SpeziLLMLocalDownload, SpeziLLMOpenAI, and SpeziLLMFog for different LLM functionalities. Users can configure and interact with local LLMs, OpenAI LLMs, and Fog LLMs using the provided APIs and platforms within the Spezi ecosystem.

github

: 131

For similar tasks

forms-flow-ai

formsflow.ai is a Free, Open-Source, Low Code Development Platform for rapidly building powerful business applications. It combines leading Open-Source applications including form.io forms, Camunda’s workflow engine, Keycloak’s security, and Redash’s data analytics into a seamless, integrated platform. Check out the installation documentation for installation instructions and features documentation to explore features and capabilities in detail.

github

: 346

morgana-form

MorGana Form is a full-stack form builder project developed using Next.js, React, TypeScript, Ant Design, PostgreSQL, and other technologies. It allows users to quickly create and collect data through survey forms. The project structure includes components, hooks, utilities, pages, constants, Redux store, themes, types, server-side code, and component packages. Environment variables are required for database settings, NextAuth login configuration, and file upload services. Additionally, the project integrates an AI model for form generation using the Ali Qianwen model API.

github

: 204

aire

github

: 537

ConvoForm

ConvoForm.com transforms traditional forms into interactive conversational experiences, powered by AI for an enhanced user journey. It offers AI-Powered Form Generation, Real-time Form Editing and Preview, and Customizable Submission Pages. The tech stack includes Next.js for frontend, tRPC for backend, GPT-3.5-Turbo for AI integration, and Socket.io for real-time updates. Local setup requires Node.js, pnpm, Git, PostgreSQL database, Clerk for Authentication, OpenAI key, Redis Database, and Sentry for monitoring. The project is open for contributions and is licensed under the MIT License.

github

: 53

For similar jobs

resonance

Resonance is a framework designed to facilitate interoperability and messaging between services in your infrastructure and beyond. It provides AI capabilities and takes full advantage of asynchronous PHP, built on top of Swoole. With Resonance, you can: * Chat with Open-Source LLMs: Create prompt controllers to directly answer user's prompts. LLM takes care of determining user's intention, so you can focus on taking appropriate action. * Asynchronous Where it Matters: Respond asynchronously to incoming RPC or WebSocket messages (or both combined) with little overhead. You can set up all the asynchronous features using attributes. No elaborate configuration is needed. * Simple Things Remain Simple: Writing HTTP controllers is similar to how it's done in the synchronous code. Controllers have new exciting features that take advantage of the asynchronous environment. * Consistency is Key: You can keep the same approach to writing software no matter the size of your project. There are no growing central configuration files or service dependencies registries. Every relation between code modules is local to those modules. * Promises in PHP: Resonance provides a partial implementation of Promise/A+ spec to handle various asynchronous tasks. * GraphQL Out of the Box: You can build elaborate GraphQL schemas by using just the PHP attributes. Resonance takes care of reusing SQL queries and optimizing the resources' usage. All fields can be resolved asynchronously.

github

: 164

aiogram_bot_template

Aiogram bot template is a boilerplate for creating Telegram bots using Aiogram framework. It provides a solid foundation for building robust and scalable bots with a focus on code organization, database integration, and localization.

github

: 117

pinecone-ts-client

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

github

: 173

ai-chatbot

Next.js AI Chatbot is an open-source app template for building AI chatbots using Next.js, Vercel AI SDK, OpenAI, and Vercel KV. It includes features like Next.js App Router, React Server Components, Vercel AI SDK for streaming chat UI, support for various AI models, Tailwind CSS styling, Radix UI for headless components, chat history management, rate limiting, session storage with Vercel KV, and authentication with NextAuth.js. The template allows easy deployment to Vercel and customization of AI model providers.

github

: 10.8k

freeciv-web

Freeciv-web is an open-source turn-based strategy game that can be played in any HTML5 capable web-browser. It features in-depth gameplay, a wide variety of game modes and options. Players aim to build cities, collect resources, organize their government, and build an army to create the best civilization. The game offers both multiplayer and single-player modes, with a 2D version with isometric graphics and a 3D WebGL version available. The project consists of components like Freeciv-web, Freeciv C server, Freeciv-proxy, Publite2, and pbem for play-by-email support. Developers interested in contributing can check the GitHub issues and TODO file for tasks to work on.

github

: 2.0k

nextpy

Nextpy is a cutting-edge software development framework optimized for AI-based code generation. It provides guardrails for defining AI system boundaries, structured outputs for prompt engineering, a powerful prompt engine for efficient processing, better AI generations with precise output control, modularity for multiplatform and extensible usage, developer-first approach for transferable knowledge, and containerized & scalable deployment options. It offers 4-10x faster performance compared to Streamlit apps, with a focus on cooperation within the open-source community and integration of key components from various projects.

github

: 2.1k

airbadge

Airbadge is a Stripe addon for Auth.js that provides an easy way to create a SaaS site without writing any authentication or payment code. It integrates Stripe Checkout into the signup flow, offers over 50 OAuth options for authentication, allows route and UI restriction based on subscription, enables self-service account management, handles all Stripe webhooks, supports trials and free plans, includes subscription and plan data in the session, and is open source with a BSL license. The project also provides components for conditional UI display based on subscription status and helper functions to restrict route access. Additionally, it offers a billing endpoint with various routes for billing operations. Setup involves installing @airbadge/sveltekit, setting up a database provider for Auth.js, adding environment variables, configuring authentication and billing options, and forwarding Stripe events to localhost.

github

: 84

ChaKt-KMP

ChaKt is a multiplatform app built using Kotlin and Compose Multiplatform to demonstrate the use of Generative AI SDK for Kotlin Multiplatform to generate content using Google's Generative AI models. It features a simple chat based user interface and experience to interact with AI. The app supports mobile, desktop, and web platforms, and is built with Kotlin Multiplatform, Kotlin Coroutines, Compose Multiplatform, Generative AI SDK, Calf - File picker, and BuildKonfig. Users can contribute to the project by following the guidelines in CONTRIBUTING.md. The app is licensed under the MIT License.

github

: 124