fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
Comparison · Analytics
atrrr vs bayestools
A side-by-side editorial comparison of atrrr and bayestools — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
atrrr vs bayestools: at a glance
What is atrrr?
The R client for Bluesky adds a firehose and stops assuming Bluesky is the server
atrrr wraps the AT Protocol for R, covering posting, search, profiles, lists, direct messages and starter packs. The latest release adds an experimental firehose implementation and allows connecting to personal data servers other than Bluesky's — Eurosky is the example given. Earlier releases built out the posting surface: videos, multiple images, link preview cards, hashtags, and ggplot2 objects posted directly.
What is bayestools?
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
BayesTools provides the shared JAGS fitting, prior and summary infrastructure that the author's meta-analysis packages build on. The 0.2.x line filled in modeling primitives — prior_mixture() and mixed-posterior objects in 0.2.18, expression-valued priors and lme4-style uncorrelated random effects in 0.2.20, then a run of small diagnostic fixes for mixture and spike-and-slab priors. Version 0.3.0 in May 2026 adds automatic standardization of continuous predictors, default priors for unspecified factor and continuous terms, and functions to transform prior and posterior samples back to the original scale.
atrrr vs bayestools: editorial side-by-side
atrrr
0.0ANALYTICS
The R client for Bluesky adds a firehose and stops assuming Bluesky is the server
◆ Current state
atrrr wraps the AT Protocol for R, covering posting, search, profiles, lists, direct messages and starter packs. The latest release adds an experimental firehose implementation and allows connecting to personal data servers other than Bluesky's — Eurosky is the example given. Earlier releases built out the posting surface: videos, multiple images, link preview cards, hashtags, and ggplot2 objects posted directly.
◆ Where it's heading
Two years of work made atrrr a capable REST client for one network. This release starts undoing that second part. The firehose is a different access mode — a stream rather than a request — which is what researchers doing collection at scale need, and PDS-agnosticism means the package addresses the protocol rather than the company. The rest of the changelog is steadily maintenance-shaped: repeated httr2 compatibility work, endpoint changes tracked as they happen.
◆ Prediction
The firehose is labelled experimental, so the next release most likely stabilises it rather than opening another front — though the notes give no detail on what remains unfinished.
bayestools
0.0ANALYTICS
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
◆ Current state
BayesTools provides the shared JAGS fitting, prior and summary infrastructure that the author's meta-analysis packages build on. The 0.2.x line filled in modeling primitives — prior_mixture() and mixed-posterior objects in 0.2.18, expression-valued priors and lme4-style uncorrelated random effects in 0.2.20, then a run of small diagnostic fixes for mixture and spike-and-slab priors. Version 0.3.0 in May 2026 adds automatic standardization of continuous predictors, default priors for unspecified factor and continuous terms, and functions to transform prior and posterior samples back to the original scale.
◆ Where it's heading
This package's releases are best read against what depends on them. The 0.2.x fixes track features appearing in RoBMA one version later, and 0.3.0 landed a single day before RoBMA 4.0.0 — the standardization and sample-transformation functions are the substrate that rewrite needed. The direction of the work is toward sensible defaults: default priors by predictor type, automatic standardization for sampling stability, and transformation back to interpretable scale so the convenience does not cost the user their units.
◆ Prediction
Given how tightly its releases track downstream needs, the next version is most likely driven by gaps surfacing in RoBMA 4.0.x rather than by independent feature work.
Alternatives to atrrr and bayestools
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either atrrr or bayestools.
gcube
gcube's recent releases are all packaging metadata, not simulation code
cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
simStateSpace
State-space data simulation for R, filled in one function at a time
See all atrrr alternatives → · See all bayestools alternatives →
Recent activity from atrrr and bayestools
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoatrrrExperimental firehose and support for non-Bluesky PDS ⚡
- 3mo agobayestoolsAdds automatic predictor standardization and type-based default priors
- 8mo agobayestoolsBayesTools 0.2.23
- 8mo agobayestoolsBayesTools 0.2.22
- 11mo agobayestoolsBayesTools 0.2.21
- 1y agobayestoolsBayesTools 0.2.20
- 1y agoatrrrDirect messages and starter-pack queries
- 1y agobayestoolsBayesTools 0.2.19
- 1y agoatrrrPosting and auth fixes for httr2 1.1.0
- 1y agoatrrrVideo posting, multi-image support, and list retrieval
- 1y agoatrrrLanguage, tag and label options on posts
- 2y agoatrrrPreview cards, hashtags, and direct ggplot2 posting
Frequently asked questions
What is the difference between atrrr and bayestools?
Both compete on the same themes — r-package — within Analytics. atrrr and bayestools are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is atrrr better than bayestools?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. atrrr and bayestools are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to atrrr?
Top atrrr alternatives in Analytics are ranked by recent ship velocity. Browse the "atrrr alternatives" section above for the current picks, or visit /alternatives/atrrr for the full list with editorial commentary on each.
What are the best alternatives to bayestools?
Top bayestools alternatives in Analytics are ranked by recent ship velocity. Browse the "bayestools alternatives" section above for the current picks, or visit /alternatives/bayestools for the full list with editorial commentary on each.