Athan Reines
@areines.bsky.social
Core developer of stdlib. Engineering manager at Quansight. PhD in Biophysics. https://github.com/stdlib-js/stdlib
Does JavaScript really need another plotting library? Probably not. But scientific JavaScript needs something different. We're building plotting for ndarrays, REPLs, servers, browsers, and the command line, all on top of Vega. Here's why: blog.stdlib.io/why-another-...
Why another plotting library?
Why another JavaScript plotting library? Learn what we're building for scientific computing and data analysis—and why.
blog.stdlib.io
AI agents learn from more than prompts. They learn from examples already in your repository. @anandkaranubc.bsky.social explains why consistency is infrastructure and why every stale convention is a wrong answer waiting to be copied. blog.stdlib.io/the-codebase...
The Codebase is the Prompt
Every inconsistency in your repository is a bug in the specification you are handing your AI agent.
blog.stdlib.io
We've been taught that being indispensable is a sign of success. In open source, it can also be a liability. The healthiest projects aren't built around heroes. They're built so that others can eventually take the work farther than we could alone. blog.stdlib.io/build-for-in...
Build for Inheritance
Building for inheritance means ensuring others can carry on the work of open source without you and thrive in your absence.
blog.stdlib.io
Not every open-source project wants more contributors right now, and that's fine. Four shapes maintainers run — walled castle, clique, university, hippie commune — and your `CONTRIBUTING.md` is saying the quiet part out loud. No wrong answer, just an honest one. blog.stdlib.io/do-you-want-...
Do you WANT contributors?
Four ways to run an open-source project—castle, clique, university, commune—and which one you're really running.
blog.stdlib.io
Most people still think of browsers as thin clients. They're not. Modern browsers can run scientific computing, ML, and GPU workloads locally with no servers and no data leaving your device. A post by @gunjjoshi.bsky.social explains why that changes everything: blog.stdlib.io/the-largest-...
The Largest Compute Platform on Earth
Browsers can run machine learning and GPU-accelerated workloads locally. Here's why that changes everything.
blog.stdlib.io
Open source doesn't survive because the install gets smoother. It survives when users feel invited to become caretakers. We wrote about the Stakeholder Journey and the hard, human work of turning use into commitment. blog.stdlib.io/the-stakehol...
The Stakeholder Journey
A bowtie-shaped map of how open-source contributors move from first discovery to ecosystem leadership.
blog.stdlib.io
A tool for mapping your #opensource ecosystem and its saboteurs: The Ecosystem and Stakeholder Map. blog.stdlib.io/mapping-your...
Mapping Your Ecosystem (and Its Saboteurs)
Naming everyone in your open-source ecosystem—both competitors and colleagues—and following where value flows.
blog.stdlib.io
A surprising thing we learned when mapping our community: the people who contribute to an open-source project aren't always the people who use it. This post from @dataandme.bsky.social explores the Open-Source Ecosystem Canvas & the questions it surfaced for stdlib. blog.stdlib.io/open-source-...
The Open-Source Ecosystem Canvas
An ecosystem canvas makes an open-source project say who it's really for. Here's what ours surfaced about stdlib's value propositions for contributors and users—and why they're not the same.
blog.stdlib.io
For years, open source communities relied on visible friction: people got stuck, asked questions in public, and became part of a community. AI is changing that. What happens when newcomers are no longer visible—and neither side knows the other is there? blog.stdlib.io/ai-and-the-i...
What We're No Longer Seeing: AI and the Invisible Newcomer in Open Source
How AI is absorbing the visible friction that open-source communities have always relied on to see—and welcome—newcomers.
blog.stdlib.io
We're excited to share stdlib's 2026 Google Summer of Code cohort! This year, we were awarded 5 contributor slots. The projects span machine learning, LAPACK/BLAS, and scientific visualization for the web. Huge thanks to everyone who contributed and applied! blog.stdlib.io/gsoc-2026-se... #GSoC
GSoC 2026 Selected Projects
We're thrilled to share that stdlib will have five contributors participating in Google Summer of Code 2026.
blog.stdlib.io
Today we're publishing the "Zen of stdlib": a philosophy of simplicity, modularity, consistency, and craft, which guides stdlib's development. If you're interested in scientific computing, library design, or sustainable software engineering, we think you'll enjoy it. blog.stdlib.io/zen-of-stdlib/
Zen of stdlib
A philosophy of simplicity, modularity, consistency, and craft.
blog.stdlib.io
Athan Reines explores JavaScript's technical computing with stdlib -https://buff.ly/50WOdgF
An insider’s view on the heart of NumPy: a conversation with Ralf Gommers - Inspiring Computing
In this episode, I have a wonderful conversation with Ralf Gommers, a director of Quansight Labs, and he's a key contributor to NumPy. He shares his journey of how he started working on and…
buff.ly
Happy International Podcast Day! 🎙️ Celebrating with some amazing episodes featuring our @quansight team: 🎧 Athan Reines on stdlib 🎧 Marco Gorelli on Narwhals 🎧 Ralf Gommers on NumPy 🎧 Travis Oliphant on SciPy & scientific Python Links 🧵👇 What's your favorite tech podcast? Share with us!
Six years ago, Athan Reines joined Quansight! As a core developer of stdlib, Athan has helped bridge the gap between JavaScript and scientific applications. The future of open source is bright with contributors like Athan leading the way. Here's to many more years of innovation together! 🥂
