rtflite
rtflite stopped being an RTF writer and became the conversion layer for clinical table output.
A side-by-side editorial comparison of mirai and qualtRics — release velocity, themes, recent moves, and the top alternatives to consider.
mirai removed its dispatcher process and added memory backpressure to the queue.
The async evaluation framework releases roughly monthly and moves fast at the architecture level. In 2.7.0 the dispatcher stopped being a separate process and became a thread, after its loop had already been rewritten in C inside nanonext one release earlier. The same release added an opt-in memory budget for queued task payloads and try_mirai(), which returns NULL immediately rather than blocking when that budget is exhausted.
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
qualtRics is the R client for the Qualtrics v3 API — fetching survey responses, definitions, distributions, and contact lists into tidy data frames. Version 3.3.0 migrated all_mailinglists() and fetch_mailinglist() from the deprecated Research Core Contacts endpoints to XM Directory, ahead of Qualtrics retiring the old ones on June 30, 2026. Authentication and directory discovery are handled automatically, but the new endpoints return a different data shape, so column names changed. Before that, releases had been steady maintenance for two years, mostly around how survey response archives are unpacked.
The async evaluation framework releases roughly monthly and moves fast at the architecture level. In 2.7.0 the dispatcher stopped being a separate process and became a thread, after its loop had already been rewritten in C inside nanonext one release earlier. The same release added an opt-in memory budget for queued task payloads and try_mirai(), which returns NULL immediately rather than blocking when that budget is exhausted.
Two threads of work run together: cutting overhead out of the task path — thread-based dispatcher, in-process transport for synchronous daemons, lower per-element dispatch cost in mirai_map() — and making the framework safe to embed in an event loop, where blocking the host R thread is not acceptable. Deployment reach is growing too, with http_config() launching remote daemons over HTTP APIs and auto-configuring for Posit Workbench. Each release pins a minimum nanonext version, so the two packages advance as one unit.
With backpressure in place but opt-in, the open question these notes leave is whether a default memory budget arrives; continued overhead reduction and Shiny-facing non-blocking paths are the safer bet.
qualtRics is the R client for the Qualtrics v3 API — fetching survey responses, definitions, distributions, and contact lists into tidy data frames. Version 3.3.0 migrated all_mailinglists() and fetch_mailinglist() from the deprecated Research Core Contacts endpoints to XM Directory, ahead of Qualtrics retiring the old ones on June 30, 2026. Authentication and directory discovery are handled automatically, but the new endpoints return a different data shape, so column names changed. Before that, releases had been steady maintenance for two years, mostly around how survey response archives are unpacked.
This package's roadmap is set by Qualtrics, not by its maintainers, and the release history reads as a sequence of accommodations — endpoint changes, retired APIs, and edge cases in exported files. The team's own recurring theme is reducing surprise: caching was removed from fetch_survey() in 3.2.0 so results are never stale, error handling was standardized on retry semantics, and column mappings were made inspectable via extract_colmap(). Feature additions, when they come, are new endpoints wrapped rather than new abstractions.
With the Contacts migration complete, the next likely work is bringing the remaining Research Core-era functions onto XM Directory equivalents before Qualtrics retires more of the old surface.
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 mirai or qualtRics.
rtflite stopped being an RTF writer and became the conversion layer for clinical table output.
git2rdata keeps sharpening one idea: a data frame that produces a readable git diff.
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
nanoparquet is chasing byte-level agreement with the Java and Rust Parquet readers, not feature count.
poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.
S7 has stopped adding surface and started proving it holds up against R itself.
See all mirai alternatives → · See all qualtRics alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mirai 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. mirai 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 Analytics products to evaluate alongside.
Top mirai alternatives in Analytics are ranked by recent ship velocity. Browse the "mirai alternatives" section above for the current picks, or visit /alternatives/mirai for the full list with editorial commentary on each.
Top qualtRics alternatives in Analytics are ranked by recent ship velocity. Browse the "qualtRics alternatives" section above for the current picks, or visit /alternatives/qualtrics for the full list with editorial commentary on each.