tealeaves
A leaf-temperature model that finished its job in 2020 and has stayed finished
A side-by-side editorial comparison of gh and saros — release velocity, themes, recent moves, and the top alternatives to consider.
gh spent its last two releases making failures and interruptions recoverable.
The GitHub API client rebuilt on httr2 in 1.4.0, then took a security-driven breaking change in 1.5.0: response headers are no longer stored in returned objects, because they can carry sensitive information. The 1.6.0 release made interrupted pagination recoverable and downgraded personal access token format validation from an error to a warning.
Survey reporting automation moves past charts and starts writing the sentences about them.
saros generates survey reports semi-automatically, turning questionnaire data into the plots, tables and Quarto structure a report needs. Version 1.6.0 adds txt_from_cat_mesos_plots(), which produces textual summaries of two categorical plots and calls out where groups differ significantly, plus crowd_plots_as_tabset() to fold a set of plots into Quarto tabsets with computed heights and download links. An interactive interval plot type arrives alongside.
The GitHub API client rebuilt on httr2 in 1.4.0, then took a security-driven breaking change in 1.5.0: response headers are no longer stored in returned objects, because they can carry sensitive information. The 1.6.0 release made interrupted pagination recoverable and downgraded personal access token format validation from an error to a warning.
The direction is tolerance for partial and unusual outcomes rather than new endpoint coverage. Interrupting a paginated call now raises a classed condition carrying the records already fetched; a 304 Not Modified returns an empty response with headers intact instead of erroring; an unrecognised token format warns and proceeds. A fake_github_app() built on webfakes ships for testing, and is offered to other package authors.
Token format handling is now configurable rather than fixed, so the next likely work is following GitHub's credential formats as they change, not expanding the client surface.
saros generates survey reports semi-automatically, turning questionnaire data into the plots, tables and Quarto structure a report needs. Version 1.6.0 adds txt_from_cat_mesos_plots(), which produces textual summaries of two categorical plots and calls out where groups differ significantly, plus crowd_plots_as_tabset() to fold a set of plots into Quarto tabsets with computed heights and download links. An interactive interval plot type arrives alongside.
The package consolidated its interface first and is now spending that consolidation. The embed_* family collapsed into a single makeme() generic with S3 dispatch in 1.2.0, and every output type since has been an S3 method rather than a new exported function, which is why 1.5.0 and 1.6.0 could add violin plots and interactive interval plots cheaply. The 1.6.0 notes are heavy with internal modularisation, splitting makeme() into argument setup, crowd processing, assembly and validation without touching the public API. Text generation is the newest direction and the one that changes what the package produces.
Expect the textual summary work to extend beyond the two-plot categorical case it currently handles, and the tabset and download-link helpers to spread across the remaining output types. The public surface should stay stable while the internals keep being split.
Other Infra & APIs 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 gh or saros.
A leaf-temperature model that finished its job in 2020 and has stayed finished
A credential platform assembled two or three pull requests at a time, never a headline
Search without knowing the field — SigNoz keeps lowering the cost of not knowing your schema
A NOAA Fisheries colour palette that ships when the branding guide changes
A genetic-mapping mainstay that now points new users toward MAPpoly at load time
Relative-risk regression that converges where glm fails, under an unreadable tag order
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. gh is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gh is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top gh alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "gh alternatives" section above for the current picks, or visit /alternatives/gh for the full list with editorial commentary on each.
Top saros alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "saros alternatives" section above for the current picks, or visit /alternatives/saros for the full list with editorial commentary on each.