bundlejs
esbuild
Webpack
BundlePhobia
rollup.js
Gulp.js
Vitest
Refine
Anycode AI
GitHub Copilot
bundle is a quick and easy way to bundle your projects, minify and see it's gzip size. It's an online tool similar to bundlephobia, but bundle does all the bundling locally on you browser and can treeshake and bundle multiple packages (both commonjs and esm) together, all without having to install any npm packages and with typescript support.
If there is something I missed, a mistake, or a feature you would like added please create an issue or a pull request and I'll try to get to it. You can contribute to this project at okikio/bundle.
You can join the discussion on Github discussions or Twitter.
You can now use search queries in bundle, all you need to do is add this to the url
?q={packages}&treeshake={methods to treeshake}
e.g.
You want react, react-dom, vue, and @okikio/animate, but only want the Animate and toStr methods exported from @okikio/animate.
You would add this to the url bundlejs.com/?q=react,react-dom,vue,@okikio/animate&treeshake=[*],[*],[*],[{Animate,toStr}]
Anycode AI is a platform designed to revolutionize code conversion and integration. It automates the process of converting legacy codebases to modern tech stacks, boosting coding speed and enabling rapid, compliant coding and testing. Anycode AI facilitates seamless upgrades from outdated systems, modernizes applications efficiently, and integrates effortlessly with existing workflows. The platform specializes in various areas including UI, APIs, integration, upgrades, ETL, model management, workflow conversion, and security, offering a comprehensive solution for accelerating development and modernizing technology stacksโโ.
bundlejs Anycode AIAnycode AI's answer:
AI-Powered Conversion: Anycode AI leverages advanced artificial intelligence algorithms to automate the process of code conversion, ensuring accuracy and efficiency in translating legacy code to modern languages and frameworks.
Language Agnostic Approach: The platform can handle a wide range of programming languages, both legacy and modern, making it a versatile tool for various codebase modernization projects.
Deep Learning Integration: It uses deep learning techniques to understand complex code structures and make intelligent decisions during the conversion process, resulting in optimized and high-quality code.
Customizable Conversion Rules: Anycode AI allows users to define custom conversion rules to meet specific organizational standards and requirements, ensuring that the converted code aligns with the desired practices.
Scalability: The platform is designed to scale, making it suitable for projects of all sizes, from small applications to large-scale legacy system overhauls.
Continuous Learning and Improvement: Anycode AI continuously learns from each conversion process, improving its efficiency and accuracy over time.
Collaborative Development Environment: It provides a collaborative environment for developers to work together on code conversion projects, fostering teamwork and alignment on goals.
Seamless Integration with DevOps Pipelines: Anycode AI can be integrated into existing DevOps pipelines, automating the code conversion and deployment process for a streamlined development workflow.
Anycode AI's answer:
Cutting-Edge AI Technology: Anycode AI employs state-of-the-art AI algorithms for code conversion, providing a level of sophistication and efficiency that surpasses many competitors.
Broad Programming Language Coverage: Unlike some competitors that focus on a limited set of languages, Anycode AI supports a wide array of both legacy and modern programming languages, offering greater flexibility for diverse projects.
Intelligent Code Optimization: Through its deep learning integration, Anycode AI not only converts code but also optimizes it for performance and maintainability, a feature not always available in other tools.
Tailored Conversion Processes: Anycode AI allows for the customization of conversion rules to adhere to specific coding standards and practices, offering a personalized conversion experience.
High Scalability: The platform is built to handle projects of varying sizes with ease, from small code snippets to large enterprise systems, ensuring consistent performance across the board.
Learning and Adaptation: Anycode AI continuously improves its conversion algorithms based on past projects, ensuring that it becomes more effective and accurate over time.
Collaborative Features: The platform provides features that enhance teamwork and collaboration, making it easier for development teams to coordinate on conversion projects.
Integration with DevOps Workflows: Anycode AI can seamlessly integrate into existing DevOps pipelines, automating the conversion and deployment processes, which can be a distinct advantage over competitors that lack this capability.
Efficiency Gains: By automating the code conversion process, Anycode AI significantly reduces the time and effort required, leading to faster project completion and cost savings.
Future-Proof Technology: Opting for Anycode AI ensures that your codebase stays current with the latest technological advancements, helping to future-proof your software assets.
Based on our record, bundlejs seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I think a neat route would be to use this as an authoring plugin in VS Code, like prettier: write Duper (or JSON5, or whatever), and then downlevel it to regular json automatically when pressing cmd-s. You wouldn't get to keep your comments (or they could be transformed to { "//": "comment text" }). Outside of that, it's tough to compete with JSON in the "human readable unschematized serialization format" market,... - Source: Hacker News / 9 months ago
React's bundling system and published packages has gotten noticeably more complicated over time. First, there's the separation between the generic cross-platform `react` package, and the platform-specific reconcilers like `react-dom` and `react-native. All the actual "React" logic is built into the reconciler packages (ie, each contains a complete copy of the actual `react-reconciler` package + all the... - Source: Hacker News / 9 months ago
These numbers don't reflect anything useful. This is the total size of the code in the package, most of which will be tree-shaken. In Zod's case, the package now contains three independent sub-libraries. I recommend plugging a script into bundlejs.com[0] to see bundle size numbers for a particular script [0] https://bundlejs.com. - Source: Hacker News / about 1 year ago
[bundlejs](https://bundlejs.com/) is the better alternative to check your dependency sizes with. - Source: Hacker News / over 1 year ago
I was closing out some long lived issues over on bundlejs, when issue #50 reminded me of the ongoing debate about how bundlejs should handle the ESM and CJS packages. - Source: dev.to / about 3 years ago
esbuild - An extremely fast JavaScript bundler and minifier
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
BundlePhobia - Find the performance impact of adding a npm package to your bundle.
rollup.js - Rollup is a module bundler for JavaScript which compiles small pieces of code into a larger piece such as application.
Gulp.js - Automate and enhance your workflow
