The public-benefit division of Quansight, Labs was created to provide a home for a “PyData core team”, which consists of developers, community leads, designers, and writers. Together we create, contribute to, and maintain open-source technology for research and data science workflows.

We also understand the needs of companies that use these projects, and aim to connect them with communities, to accelerate development and guarantee its and the project’s health, focusing on technology that tens of millions of users rely on.

Sustaining the Future of Open Source

Projects like NumPy, SciPy, Pandas, Jupyter, Matplotlib, scikit-learn, Dask, Conda, and many others serve as a foundation for data science workflows and a launchpad for AI.

Mission

The mission of Quansight Labs is to sustain and grow community-driven open source projects and ecosystems, with a focus on the core of the PyData stack and on tools and digital infrastructure for data science, ML/AI, and scientific computing.

Vision

The majority of our efforts are aimed at maintaining and evolving existing open source projects that are critical to the PyData stack, including NumPy, Jupyter, Dask, SciPy, Pandas, and conda-forge. We aim to give talented maintainers time for necessary regular maintenance as well as for tackling hard problems that need weeks or months of dedicated time.

Our innovation activities are aimed at filling critical gaps in the PyData ecosystem.

We recognize that successful software projects require many skills and activities beyond software development: community building, technical writing, graphical design, UI/UX design, marketing, fundraising, and more. Most community-driven open source projects lack these skills. We employ writers, designers, community managers, and others with an interest in open source with the aim of growing the diversity of skills present in open source communities, and making projects more healthy and mature.