Standard Library for JavaScript and Node.js offers a library of high-performance mathematical, statistical functions and data visualization tools. It is self-described as being designed for application and library development, including comprehensive documentation and examples.

Standard Library for JavaScript and Node.js

stdlib | 33 followers on LinkedIn. Open-source software for numerical and scientific computation with JavaScript and Node.js.

Open-Source, Scientific and Statistical Computing for the Web, Applied AI, Educational Technology

Philipp Burckhardt

GSoC'24 @stdlib-js | IIT Jodhpur

Aman Bhansali

GSoC '24 @stdlib | Speaker @JSNationUS '24 | AI @ Mercor | AIR 12, CodeKaze | FOSS Overflow Mentee @IIT Bhilai | GDSC WinterHacks 2022 Winner | Web…

Gunj Joshi

GSoC '24 @stdlib | Speaker @JSNationUS '24 | AI Engineer @Augment | AIR 12, Lpunest | FOSS Overflow Mentee @IIT Bhilai | GDSC WinterHacks 2022 Winner

Rejoan Sardar

stdlib

A bit late with this post, but better late than never! I'm excited to announce that I’ve successfully completed Google Summer of Code 2024, where I had the privilege to contribute to stdlib . Being part of such a vibrant and supportive community has been an amazing and enriching experience. A special thanks to Athan Reines and Philipp Burckhardt for their insightful guidance and mentorship throughout this journey. I couldn't have asked for better support. I’d also like to extend my heartfelt gratitude to project mentor Pranav Goswami for his invaluable support. Check out what I’ve been working on: Project: https://lnkd.in/d2TE-XNB Final Report: https://lnkd.in/dd9YFNSy

Jaysukh Makvana

Hey everyone! At stdlib , we leverage free-form Fortran code extensively to optimize the performance of various BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra Package) routines. In response, Athan and I decided to document our methodology on "How to Call Fortran Routines from JavaScript Using Node.js ". I would like to extend my gratitude to Quansight ; without their program, I would not have had the opportunity to engage with this technology. #blogs #opensourcedevelopment PS: get ready for action-packed quarter ahead ;)

Pranav Goswami

Heads up! My talk, "Advanced Mathematics and Data Analysis with JavaScript," has made it to the lineup for JSNation US Edition! 🎉 stdlib is the game-changer that’s taking JavaScript to new heights for complex math and data analysis. It’s like equipping your code with the ultimate toolkit! Experience how stdlib adds a touch of magic to JavaScript, enabling it to handle complex math and data analysis tasks right in your browser. Explore my talk here: https://lnkd.in/gHENK7-t Eager to see the magic unfold? Join me remotely on November 21st. Get your free access with my digital badge: 👉 https://lnkd.in/gZ2u4wq8 #JSNationUS #JavaScript #stdlib

Completed Google Summer of Code 2024 with stdlib . Grateful for the experience and the learning. Thanks to Athan Reines and Philipp Burckhardt . Check out what I have been working on: https://lnkd.in/gk9CDzCm

𝐁𝐚𝐬𝐢𝐜 𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 𝐒𝐮𝐛𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐬' 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 As an open-source contributor at stdlib , I’ve implemented two new functions: 𝐜𝐟𝐢𝐥𝐥 and 𝐳𝐟𝐢𝐥𝐥, designed to fill strided arrays with complex numbers. - 𝐜𝐟𝐢𝐥𝐥 fills single-precision complex floating-point arrays with a specified scalar constant. - 𝐳𝐟𝐢𝐥𝐥 fills double-precision complex floating-point arrays with a specified scalar constant. Both functions support specifying 𝐬𝐭𝐫𝐢𝐝𝐞 and 𝐨𝐟𝐟𝐬𝐞𝐭 for arrays, enabling precise control over which elements are filled. What's particularly exciting is that these JavaScript functions are implemented with their 𝐂 𝐀𝐏𝐈𝐬, utilizing 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐧𝐚𝐭𝐢𝐯𝐞 𝐚𝐝𝐝𝐨𝐧𝐬. This bridges the gap between high-level JavaScript and low-level C, offering optimal performance for numerical computations in JavaScript. These additions are part of a broader effort at 𝐒𝐭𝐝𝐥𝐢𝐛.𝐣𝐬, where some exciting work is being done on 𝐁𝐋𝐀𝐒. The goal is to equip JavaScript developers with fast and efficient tools for scientific and numerical computing, enabling better performance for mathematical operations. If you're interested in advancing numerical and scientific computing within the JavaScript ecosystem, check out 𝐒𝐭𝐝𝐥𝐢𝐛.𝐣𝐬: 𝐆𝐢𝐭𝐇𝐮𝐛: https://lnkd.in/dTjbNmvX 𝐜𝐟𝐢𝐥𝐥( 𝐍, 𝐚𝐥𝐩𝐡𝐚, 𝐱, 𝐬𝐭𝐫𝐢𝐝𝐞 ): https://lnkd.in/dnR7humm 𝐳𝐟𝐢𝐥𝐥( 𝐍, 𝐚𝐥𝐩𝐡𝐚, 𝐱, 𝐬𝐭𝐫𝐢𝐝𝐞 ): https://lnkd.in/dX6bF-wh #opensource #javascript #complexarrays #blas #numericalcomputing #nodejs #nativeaddons #complexnumbers

Muhammad Haris

𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗼𝗳 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁'𝘀 𝗠𝘂𝗹𝘁𝗶𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝗔𝗿𝗿𝗮𝘆𝘀 I'm excited to share my recent work as an open-source contributor at stdlib , a robust JavaScript standard library focused on numerical and scientific computation. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝘁𝗵𝗲 𝗺𝗮𝗽 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗡-𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝗔𝗿𝗿𝗮𝘆𝘀 My latest contribution is the implementation of a 𝗺𝗮𝗽 function for 𝗻𝗱𝗮𝗿𝗿𝗮𝘆𝘀. This function enables developers to apply a callback to each element of an input 𝗻𝗱𝗮𝗿𝗿𝗮𝘆 and assign the results to an output 𝗻𝗱𝗮𝗿𝗿𝗮𝘆. It’s similar to the JavaScript 𝗔𝗿𝗿𝗮𝘆.𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲.𝗺𝗮𝗽 but specifically designed to efficiently handle data manipulation for Multidimensional arrays. 𝗪𝗵𝗮𝘁 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗲𝗻𝗮𝗯𝗹𝗲? - The function works with 𝗻𝗱𝗮𝗿𝗿𝗮𝘆𝘀 of any shape and strides. - Supports 𝗻𝗼𝗻-𝗰𝗼𝗻𝘁𝗶𝗴𝘂𝗼𝘂𝘀 memory layouts. - Supports an optional 𝘁𝗵𝗶𝘀𝗔𝗿𝗴 parameter, allowing you to specify the callback function execution context. - Handles both 𝗿𝗼𝘄-𝗺𝗮𝗷𝗼𝗿 and 𝗰𝗼𝗹𝘂𝗺𝗻-𝗺𝗮𝗷𝗼𝗿 formats. I am excited to see how this function will be utilized within the community. Feel free to check out the 𝗦𝘁𝗱𝗹𝗶𝗯.𝗷𝘀 GitHub repository and the implementation of the 𝗺𝗮𝗽 function. 𝗦𝘁𝗱𝗹𝗶𝗯.𝗷𝘀: https://lnkd.in/dTjbNmvX 𝗺𝗮𝗽( 𝗮𝗿𝗿𝗮𝘆𝘀, 𝗳𝗰𝗻[, 𝘁𝗵𝗶𝘀𝗔𝗿𝗴] ): https://lnkd.in/dqhz_gUX #OpenSource #JavaScript #MultiDimensionalArrays #DataScience #DataManipulation #ScientificComputation

STDL

IO:STDLIB

Standard Library for JavaScript and Node.js

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