We’re pleased to announce two new YAML 1.2 packages: yaml12 for R and py-yaml12 for Python. Both are implemented in Rust and designed for fast, predictable YAML 1.2 parsing, with safe opt-in tag handling and document stream support. Read more ...

The tidymodels ecosystem is prepared for big xgboost CRAN release. Read more ...

tidypredict 1.0.0 brings faster computations for tree-based models, more efficient tree representations, glmnet model support, and a change in how random forests are handled. Read more ...

Two new tidymodels packages focus on supervised feature selection. Read more ...

ellmer 0.4.0 includes important lifecycle updates, new Claude features (caching, file uploads, web tools), OpenAI improvements, and enhancements to error handling, pricing tracking, and security. Read more ...

A summary of what has been going on for the tidymodels group in the mid 2025. Read more ...

testthat 3.3.0 brings improved expectations with better error messages, new expectations for common testing patterns, and lifecycle changes including the removal of local_mock() and with_mock(). It also includes a write-up of my experience doing package development with Claude Code. Read more ...

Posit is hiring a Python open-source developer to create more data analysis tools. Read more ...

The latest version of pkgdown automatically builds markdown files that make it easy for LLMs to use your website. Read more ...

A new version of tune brings significant updates for model tuning and parallel processing. Read more ...