The highlights of this release are multiple parallel Markov chains and splitting data and/or chains across multiple devices. The repository has been moved to bartz-org to welcome the first contributor @miaoqingyu2. New features New interface bartz.Bart intended to supersede bartz.BART.gbart. gbart will continue to match the R package BART3, while new functionality will be added in bartz.Bart. Built-in support for running multiple independent chains in parallel. At the interface level, this is available through bartz.Bart and bartz.BART.mc_gbart. Support for multiple devices. Data and/or chains can be split across gpus. This can be controlled only through the new interface bartz.Bart, while mc_gbart will shard chains automatically on cpu but otherwise not provide settings. Multivariate regression thanks to @miaoqingyu2. This is currently only implemented at low level, not in the easy to use interface. Performance improvements Generally faster, in particular on gpu at low $n$ and on cpu with heteroskedasticity. Fixed a performance regression in v0.7.0 where the running time per iteration would grow with the total number of iterations because the full trace array was duplicated on each iteration. Undid the weird thing where if the number of iterations is not a multiple of printevery there are leftover iterations which are performed but not saved. run_mcmc will raise an error if for any reason the MCMC code is compiled twice. This can be triggered by internal errors or by misconfiguration. Bugs fixed Fixed wrong rare misspecified corner cases in the MCMC. Fixed binary regression producing nans/infs on gpu. Fixed slightly out of sync MCMC iteration logging on gpu. Usability improvements Convenience attribute bartz.BART.mc_gbart.sigma_ for accessing the post-burnin sigma samples. Extras bartz[cuda12] and bartz[cuda13] to easily install dependencies for working with nvidia gpus; they simply mirror the corresponding jax extras. Variable selection has been integrated into bartz.mcmcstep.step. The MCMC state class bartz.mcmcstep.State has a new config attribute that, amongst other things, tracks the number of steps done on the state.