Bun.sh
Deno
Vite
Node.js
Next.js
Zig
Svelte
npm
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Bun is a new JavaScript runtime built from scratch to serve the modern JavaScript ecosystem. It has three major design goals:
Speed. Bun starts fast and runs fast. It extends JavaScriptCore, the performance-minded JS engine built for Safari. As computing moves to the edge, this is critical.
Elegant APIs. Bun provides a minimal set of highly-optimimized APIs for performing common tasks, like starting an HTTP server and writing files.
Cohesive DX. Bun is a complete toolkit for building JavaScript apps, including a package manager, test runner, and bundler.
Bun is designed as a drop-in replacement for Node.js. It natively implements hundreds of Node.js and Web APIs, including fs, path, Buffer and more.
The goal of Bun is to run most of the world's server-side JavaScript and provide tools to improve performance, reduce complexity, and multiply developer productivity.
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Based on our record, Bun.sh should be more popular than Matplotlib. It has been mentiond 227 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.
The Node.js ecosystem has powered bots for a decade via discord.js. However, the Bun runtime has completely changed the game. Bun acts as an all-in-one JavaScript toolkit that starts up significantly faster and utilizes memory far more efficiently than standard Node.js. - Source: dev.to / 20 days ago
The binary had a #!/usr/bin/env bun shebang and imported bun:sqlite. I had developed the whole thing under Bun, so on my machine it was perfect. On a normal machine with only Node installed, there is no bun to run the shebang, the entry was a .ts file Node would not execute, and even if it got that far, bun:sqlite is a built-in that only exists inside Bun. Three separate ways to fail before any of my code ran.... - Source: dev.to / about 2 months ago
The CLI is a thin Bun wrapper; the engine is the Rust binary it shells out to. Pipe-friendly by design โ transcript on stdout, errors on stderr. - Source: dev.to / about 2 months ago
The numbers are striking. According to benchmarks published on bun.sh, Bun handles 59,026 Express.js "hello world" HTTP requests per second on Linux x64, compared to 25,335 for Deno and 19,039 for Node.js. For WebSocket throughput, Bun clocks 2,536,227 messages per second against Deno's 1,320,525 and Node's 435,099. Bun also bundles 10,000 React components in 269ms. Rolldown completes the same job in 495ms.... - Source: dev.to / 2 months ago
Toolchains: I use SDKMAN! For JDKs, NVM for Node.js, rustup for Rust, Bun, Go, Python, Deno, and the usual Linux build tools. - Source: dev.to / 2 months ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Deno - A secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Vite - Next Generation Frontend Tooling
NumPy - NumPy is the fundamental package for scientific computing with Python
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
