Is thinkphp open source?
thinkphp is open source.
Introduction
ThinkPHP is a free, open source, fast and simple object-oriented lightweight PHP development framework. It was founded in early 2006 and follows Apache2 Open source protocol release was born for agile WEB application development and simplified enterprise application development. ThinkPHP has been adhering to the simple and practical design principle since its birth. While maintaining excellent performance and minimal code, it also focuses on ease of use. It has many original functions and features. With the active participation of the community team, it has been continuously optimized and improved in terms of ease of use, scalability and performance. It has grown into the most leading and influential WEB application development framework in China, with many Typical cases ensure that it can be stably used for commercial and portal-level development.
Comprehensive WEB development feature support
The latest ThinkPHP provides strong support for WEB application development, these supports include:
MVC support - Design pattern ORM support based on multi-layer model (M), view (V), controller (C) - Provides full-featured and high-performance ORM support, supports most database template engine support - Built-in high-performance based Compiled template engine RESTFul support for tag libraries and XML tags - RESTFul support is provided through the REST controller extension to create a new URL design and access experience for you. Cloud platform support - provides strong support for Sina SAE platform and Baidu BAE platform , with "span" and "smoothness", supports localized development and debugging as well as deployment switching, allowing you to easily transition and create a new development experience. CLI support - supports command line-based application development RPC support - provides remote calling solutions including PHPRpc, HProse, jsonRPC and Yar MongoDb support - provides NoSQL support Cache support - provides files, databases, Memcache, Xcache, Redis Various types of cache support
The development philosophy of simplicity
ThinkPHP has been adhering to the development philosophy of simplicity since its birth, no matter from the bottom implementation or application In development, we all advocate using the least amount of code to complete the same function. It is precisely because of our persistence in simplicity and code practice that we have maintained excellent performance and extremely fast development experience for a long time. Outstanding performance in the evaluation data of mainstream PHP development frameworks. Simple and rapid development is our constant purpose.
Security
The framework provides numerous security features at the system level to ensure that your website and products are safe and worry-free. These features include:
XSS Security Protection Form Automatic Validation Forced Data Type Conversion Input Data Filtering Form Token Validation Anti-SQL Injection Image Upload Detection
Business Friendly Open Source Protocol
ThinkPHP is released under the Apache2 open source license. Apache License is a protocol adopted by Apache, a well-known non-profit open source organization. This protocol is similar to BSD and encourages code sharing and respecting the copyright of the original author. It also allows code modification and release as open source or commercial software.
For more ThinkPHP related technical articles, please visit the ThinkPHP usage tutorial column to learn!
The above is the detailed content of Is thinkphp open source?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Text annotation is the work of corresponding labels or tags to specific content in text. Its main purpose is to provide additional information to the text for deeper analysis and processing, especially in the field of artificial intelligence. Text annotation is crucial for supervised machine learning tasks in artificial intelligence applications. It is used to train AI models to help more accurately understand natural language text information and improve the performance of tasks such as text classification, sentiment analysis, and language translation. Through text annotation, we can teach AI models to recognize entities in text, understand context, and make accurate predictions when new similar data appears. This article mainly recommends some better open source text annotation tools. 1.LabelStudiohttps://github.com/Hu

Image annotation is the process of associating labels or descriptive information with images to give deeper meaning and explanation to the image content. This process is critical to machine learning, which helps train vision models to more accurately identify individual elements in images. By adding annotations to images, the computer can understand the semantics and context behind the images, thereby improving the ability to understand and analyze the image content. Image annotation has a wide range of applications, covering many fields, such as computer vision, natural language processing, and graph vision models. It has a wide range of applications, such as assisting vehicles in identifying obstacles on the road, and helping in the detection and diagnosis of diseases through medical image recognition. . This article mainly recommends some better open source and free image annotation tools. 1.Makesens

To run the ThinkPHP project, you need to: install Composer; use Composer to create the project; enter the project directory and execute php bin/console serve; visit http://localhost:8000 to view the welcome page.

ThinkPHP has multiple versions designed for different PHP versions. Major versions include 3.2, 5.0, 5.1, and 6.0, while minor versions are used to fix bugs and provide new features. The latest stable version is ThinkPHP 6.0.16. When choosing a version, consider the PHP version, feature requirements, and community support. It is recommended to use the latest stable version for best performance and support.

Face detection and recognition technology is already a relatively mature and widely used technology. Currently, the most widely used Internet application language is JS. Implementing face detection and recognition on the Web front-end has advantages and disadvantages compared to back-end face recognition. Advantages include reducing network interaction and real-time recognition, which greatly shortens user waiting time and improves user experience; disadvantages include: being limited by model size, the accuracy is also limited. How to use js to implement face detection on the web? In order to implement face recognition on the Web, you need to be familiar with related programming languages and technologies, such as JavaScript, HTML, CSS, WebRTC, etc. At the same time, you also need to master relevant computer vision and artificial intelligence technologies. It is worth noting that due to the design of the Web side

Steps to run ThinkPHP Framework locally: Download and unzip ThinkPHP Framework to a local directory. Create a virtual host (optional) pointing to the ThinkPHP root directory. Configure database connection parameters. Start the web server. Initialize the ThinkPHP application. Access the ThinkPHP application URL and run it.

New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.

Let me introduce to you the latest AIGC open source project-AnimagineXL3.1. This project is the latest iteration of the anime-themed text-to-image model, aiming to provide users with a more optimized and powerful anime image generation experience. In AnimagineXL3.1, the development team focused on optimizing several key aspects to ensure that the model reaches new heights in performance and functionality. First, they expanded the training data to include not only game character data from previous versions, but also data from many other well-known anime series into the training set. This move enriches the model's knowledge base, allowing it to more fully understand various anime styles and characters. AnimagineXL3.1 introduces a new set of special tags and aesthetics
