The Statistical Python project was launched with support from a grant from the NSF, titled “POSE: Phase I: An open-source ecosystem for statistical Python.”
Our aim is to help:
Educators teach statistics using a comprehensive, free computational ecosystem with clear user interfaces and accessible learning materials.
Researchers produce reliable results through an extensive collection of well-engineered and tested computational libraries, featuring intuitive APIs and comprehensive documentation.
Method developers share their innovations easily with a wide audience through standardized packaging and distribution channels.
Practicing statisticians and data scientists access powerful tools to compute results efficiently, without the friction of switching between different software ecosystems.
We foster a sustainable ecosystem, aiming to attract statisticians who actively participate in developing the tools they use daily.
Phase I¶
We have now completed Phase I, which focused on scoping activities to inform the transition into a sustainable open-source ecosystem. During this phase, we conducted interviews with stakeholders across the statistical and scientific Python communities, engaged with related domain-specific OSEs to learn from their experiences, led group discussions at national and international conferences, and organized a workshop to gather input on community needs and technical priorities.
You may read our 2024 Landscape Analysis, a primary output of the Phase I activities.
Phase II¶
The above activities led to the development of a Phase II proposal to implement the formation of the Statistical Python Open Source Ecosystem.