open source, machine-learning Maintaining open source in the age of generative AI: Recommendations for maintainers and contributors Adrin Jalali Tuesday, February 24 2026 Read or listen
machine-learning, data science Beyond the hype: Charting a new direction for enterprise data science François Méro Tuesday, February 17 2026 Read or listen
open source, machine-learning Demystifying table foundation models: The new models expanding the data scientist’s toolkit Gaël Varoquaux Thursday, February 12 2026 Read or listen
open source, scikit-learn The global pulse of open source: Insights from GitHub and scikit-learn Yann Lechelle Tuesday, February 3 2026 Read or listen
governance, corporate, open source, scikit-learn Strengthening Stewardship as Probabl Enters Its Scale-Up Phase Yann Lechelle Wednesday, January 14 2026 Read or listen
corporate Probabl Raises €13M in Seed to accelerate Enterprise Grade AI Yann Lechelle Thursday, October 16 2025 Read or listen
scikit-learn, certification, services, skolar, training Launching Skolar: a new platform for hands-on, structured and certified training in open-source data science. Pénélope Gittos Thursday, June 26 2025 Read or listen
open source, skore, product Introducing skore Yann Lechelle Wednesday, January 22 2025 Read or listen
open source, scikit-learn Open source software priorities at Probabl - Chapter 2 Guillaume Lemaitre Wednesday, November 27 2024 Read or listen
