involved in understanding the gender diversity in some OSS communities (OpenStack gender report) Involved in some analytics dashboards: OPNFV, Wikimedia, Eclipse... Disclaimer: not involved in any Python working group, own analysis and interest, I may have missed some stuff...
approach in the WOO related talks (Women of OpenStack) (Tokyo and Austin) Produced some numbers that gained some attention In the end this is all about transparency and improvement We need data to make decisions Diversity is a challenge in any OSS project
include (but are not limited to): age, culture, ethnicity, gender identity or expression, national origin, physical or mental difference, politics, race, religion, sex, sexual orientation, socio-economic status, and subculture. We welcome people regardless of the values of these or other attributes.”
of the workforce in tech companies. - And between 10% and 20% if focused on tech teams. - OpenStack: 11% of the population - Linux Kernel shows a 10% of the population - Hadoop ecosystem around 8%. - What about some projects in the Python ecosystem?
diversity by company, fairness in the code review among organizations and genders, transparency in the process Available but sensitive info: affiliation, countries, time to review Focus on the Python Interpreter
best practices and learn from those • This may be biased by external factors I’m not aware of (eg: version control system migrations…) VS All Contributors: Cpython Typeshed Mypy Peps Devguide Planet Pythondotorg Asyncio Psf-chef Typing
Recommendations from OpenStack • Policies impact study • Collaboration with PTLs • Bring women to key positions • Keep supporting the WOO group • Enforce the CoC • Documentation, onboarding process and mentoring as a baseline for any project
merge fairness, companies women %, previous Outreachy follow ups, quarterly reports, updated data, specific policies ROI and others. This [hopefully] helps to have a better picture Other minorities analysis could be done Gender diversity is not binary