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.” We are now completing Phase I, which has 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.
Audience / Target Groups¶
We 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.
Landscape Analysis¶
Read our 2024 Landscape Analysis, a primary output from our Phase I activities.