NumPy VS bundlejs
Compare NumPy VS bundlejs and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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NumPy
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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}]
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Based on our record, NumPy seems to be a lot more popular than bundlejs. While we know about 107 links to NumPy, we've tracked only 6 mentions of bundlejs. 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.
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months 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 / 10 months ago
Still, I'm not really sure about its dependencies: it lists react and @tanstack/react-query (as opposed to @tanstack/query-core) and bundlejs reports 124KB gzipped. Also, while using it, you still need to refer to their react docs (that documentation is really good and has a lot of examples) but not everyone will be thrilled about checking a react documentation when they're using an angular package. Source: 10 months ago
It's somewhere in between. React as a lib and architecture _is_ platform-agnostic. The core logic is defined in the `react-reconciler` package. It contains all the implementation of rendering components, diffing trees, managing state, and running effects, as well as all the "Suspense" implementation. However, the way `react-reconciler` works is that it's built _into_ each platform-specific renderer... - Source: Hacker News / 10 months ago
React Hook Form has no dependencies and a small bundle size. It has a gzipped bundle size of 12.12KB, according to bundlejs. - Source: dev.to / over 1 year ago
These are shameless plugs, but https://bundlejs.com and https://inthistweet.app. I built both tools specifically because I didn't find any other tools that solved the problems I kept running into. Source: over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
BundlePhobia - Find the performance impact of adding a npm package to your bundle.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
esbuild - An extremely fast JavaScript bundler and minifier
OpenCV - OpenCV is the world's biggest computer vision library
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more