QuantStack developers are behind major open-source scientific computing project which you already use and love, including Jupyter, Xtensor, Voilà, and many others.

Project Jupyter

The QuantStack team comprises five core contributors and maintainers of Project Jupyter, including JupyterLab, the classic notebook, JupyterHub, ipywidgets, and more.

The team also includes the main authors of popular Jupyter widget packages, such as ipyleaflet (interactive maps visualization toolkit), bqplot (2-D plotting), ipympl (Jupyter-Matplotlib integration), ipyvolume (3-D data visualization and volume rendering).

We are also responsible for the development of the JupyterLab visual debugger, and other Lab extensions such as the JupyterLab sidecar, and the drawio integration.

For our customers, we have integrated, customized, and developed complex JupyterLab front-end extensions, widget libraries. We have deployed JupyterHub in large enterprise settings, integrating with corporate SSOs.


QuantStack is the main organization behind the Xtensor project, a fast N-D array library in modern C++, with Python, R, and Julia bindings.

With the Xtensor project, we strive to offer high-level C++ API similar to the NumPy API, but the performance of fine-tuned SIMD-accelerated code.


We started the RoboStack initiative, a project to bring together the PyData, Jupyter, and ROS stack, into a unified toolkit, including a rich ROS and Jupyter integration and the packaging of ROS packages with conda.


We are the team the Xeus framework, which comprises a reference implementation of the Jupyter kernel protocol in C++, and several new Jupyter kernels, such as xeus-cling, the C++ Jupyter kernel, and xeus-python, an alternative Python kernel implementing the Jupyter debugger protocol.

Xeus is now officially part of the Jupyter project.


We are the creators of Voilà, which can transform Jupyter notebooks into standalone web applications and dashboards.

Voilà has been incorporated as a Jupyter subproject.


Our latest endeavor is the Mamba project, a fast drop-in replacement for the conda package manager.

Mamba can be several orders of magnitude faster than conda to resolve compatibility contraints of conda environment, especially when dealing with large package repositories such as conda-forge.

Mamba is currently being adopted in large corporate settings.