Is bootstrap open source?
bootstrap is open source. It is a set of open source front-end frameworks for website and network application development, including HTML, CSS and JavaScript frameworks, providing font typography, forms, buttons, navigation and other components and Javascript extensions.
Recommended: bootstrap tutorial
Bootstrap is a set of open source front-ends for website and web application development ( The so-called "front end" refers to the interface displayed to the end user. The corresponding "back end" is the code (code) framework running on the server, including HTML, CSS and JavaScript frameworks, providing font printing, forms, buttons , navigation and various other components and Javascript extensions designed to make the development of dynamic web pages and web applications easier.
Bootstrap is the fourth most "Starred" project on GitHub. Starred more than 133,000 times and branched more than 65,000 times.
Bootstrap is compatible with the latest versions of Google Chrome, Firefox, Internet Explorer, Opera and Safari browsers, although some browsers do not support all operating systems.
Starting from version 2.0, Bootstrap supports responsive web design (RWD). Page layout can be dynamically adjusted based on the device on which the web page is displayed (desktop, tablet, mobile phone).
Starting from version 3.0, Bootstrap prioritizes mobile devices as its design guideline, placing more emphasis on responsive design.
The 4.0 alpha version adds support for Sass and Flexbox.
Bootstrap is open source software and can be found on GitHub. Developers are encouraged to participate in the project and make their own contributions to the project.
The above is the detailed content of Is bootstrap 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

Introduce Bootstrap in Eclipse in five steps: Download the Bootstrap file and unzip it. Import the Bootstrap folder into the project. Add Bootstrap dependency. Load Bootstrap CSS and JS in HTML files. Start using Bootstrap to enhance your user interface.

Steps to introduce Bootstrap in IntelliJ IDEA: Create a new project and select "Web Application". Add "Bootstrap" Maven dependency. Create an HTML file and add Bootstrap references. Replace with the actual path to the Bootstrap CSS file. Run the HTML file to use Bootstrap styles. Tip: Use a CDN to import Bootstrap or customize HTML file templates.

Regarding Llama3, new test results have been released - the large model evaluation community LMSYS released a large model ranking list. Llama3 ranked fifth, and tied for first place with GPT-4 in the English category. The picture is different from other benchmarks. This list is based on one-on-one battles between models, and the evaluators from all over the network make their own propositions and scores. In the end, Llama3 ranked fifth on the list, followed by three different versions of GPT-4 and Claude3 Super Cup Opus. In the English single list, Llama3 overtook Claude and tied with GPT-4. Regarding this result, Meta’s chief scientist LeCun was very happy and forwarded the tweet and

Interpretation steps of Bootstrap mediation effect test in Stata: Check the sign of the coefficient: Determine the positive or negative direction of the mediation effect. Test p value: less than 0.05 indicates that the mediating effect is significant. Check the confidence interval: not containing zero indicates that the mediation effect is significant. Comparing the median p-value: less than 0.05 further supports the significance of the mediation effect.

The Bootstrap mediation test evaluates the mediation effect by resampling the data multiple times: Indirect effect confidence interval: indicates the estimated range of the mediation effect. If the interval does not contain zero, the effect is significant. p-value: Evaluates the probability that the confidence interval does not contain zero, with values less than 0.05 indicating significant. Sample size: The number of data samples used for analysis. Bootstrap subsampling times: the number of repeated samplings (500-2000 times). If the confidence interval does not contain zero and the p-value is less than 0.05, the mediation effect is significant, indicating that the mediating variable explains the relationship between the independent and dependent variables.

The Bootstrap test uses resampling technology to evaluate the reliability of the statistical test and is used to prove the significance of the mediation effect: first, calculate the confidence interval of the direct effect, indirect effect and mediation effect; secondly, calculate the significance of the mediation type according to the Baron and Kenny or Sobel method. significance; and finally estimate the confidence interval for the natural indirect effect.

The main difference between Bootstrap and Spring Boot is: Bootstrap is a lightweight CSS framework for website styling, while Spring Boot is a powerful, out-of-the-box backend framework for Java web application development. Bootstrap is based on CSS and HTML, while Spring Boot is based on Java and the Spring framework. Bootstrap focuses on creating the look and feel of a website, while Spring Boot focuses on back-end functionality. Spring Boot can be integrated with Bootstrap to create fully functional, beautiful

Export the results of the Bootstrap mediation effect test in Stata: Save the results: bootstrap post Create variable list: local vars: coef se ci Export the results (CSV): export delimited results.csv, varlist(`vars') replace comma nolabel
