For a long time, running NumPy in the browser meant running it without an accelerated BLAS. Matrix multiplications fell back to plain loops (portable, but blind to cache and SIMD). That just changed. The Emscripten-forge NumPy package now links OpenBLAS in WebAssembly.

We are thrilled to welcome Pablo Winant to QuantStack as a Scientific Advisor. Pablo joins us part-time while on a sabbatical year from his roles as a Professor at ESCP Business School and École Polytechnique.

By leveraging JupyterCAD and JupyterLite, the entire toolchain from parametric CAD design to kinematic description is delivered as instant, zero-install workspace in the browser.

Ten years ago, I founded QuantStack on a conviction: that we could build a sustainable business by supporting world-class open-source software to advance science. It was a bold bet. We had no outside funding, no guarantees—just the belief that…

Today, we are excited to share the first working version of the Numba JIT compiler running entirely in the browser with JupyterLite and emscripten-forge!

The new 0.8 release includes a number of new features, bug fixes, and enhancements. Highlights include a shareable REPL, a refreshed loading screen, file system reliability improvements, a terminal in the browser, and an update to JupyterLab 4.6 and Notebook 7.6.

We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2025 cohort of contributors.

We accelerated Parquet column reads on ARM by up to 80% in Apache Arrow C++, by adding support for the Scalable Vector Extension (SVE) and fixing a compiler optimization issue worth a 5x speedup on a dedicated routine.

We added top-level await support to xeus-python 🚀. You can now use toplevel async code directly in notebooks without extra boilerplate and without blocking the kernel.

We are thrilled to introduce Mamba 2.6, the first release of the package manager with support for sharded repodata, improving perfomance by a large factor, both in execution time and memory consumption.

If you work in the world of data engineering, you are probably familiar with Apache Arrow — the universal columnar format and multi-language toolbox that has become the gold standard for fast in-memory analytics and data interchange.

Notebook.link combines WebAssembly and the conda ecosystem to deliver scalable, serverless computing environments that run entirely in the browser.

By rewriting the SIMD optimizations of a critical low-level algorithm in Arrow C++, we have been able to deliver substantial speedups when reading Parquet data, up to 60% on some Arrow benchmarks with specific column encodings.

We introduce two new JupyterGIS features: a STAC browser integrated directly into JupyterGIS, and a new Story Map feature, which makes it possible to combine maps and narrative content in a single, interactive view.

We are thrilled to announce that JupyterLite is now an official part of Project Jupyter. This milestone marks a significant step forward for interactive computing in the browser and strengthens JupyterLite’s role within the Jupyter ecosystem.

Arbalister is a JupyterLab extension that enables seamless viewing of many tabular file formats, including Parquet, CSV, Avro, ORC, and SQLite.

We are excited to unveil notebook.link, a groundbreaking platform that simplifies sharing and running notebooks like never before.

The new 0.7 release includes a number of new features, bug fixes, and enhancements. This release also brings significant improvements to the user experience and new customization options for JupyterLite deployments.

QuantStack, an “almost accidental startup,” is building a serverless distro of JupyterLab for Jupyter’s global adoption.

JupyterLab 4.5 has been released! This new minor release of JupyterLab includes 51 new features and enhancements, 81 bug fixes, 44 maintenance tasks and 38 documentation improvements.