mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of Kinsta and PINstimation — release velocity, themes, recent moves, and the top alternatives to consider.
Kinsta is moving MyKinsta's controls into its API, one surface per month
Kinsta's feed is a blog, so releases arrive as truncated posts, but the pattern underneath is consistent: management surfaces that used to require the MyKinsta dashboard keep reappearing in the Kinsta API. Domains, HTTPS, logs, and backups moved in July; visitor analytics — user agents, browsers, request origins — followed in August. Around that sits a year of bot-traffic work and a file manager in the dashboard, and the newest post extends resilience past backups into a named disaster-recovery offering.
A market-microstructure toolkit that keeps adding estimators as the papers land.
PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.
Kinsta's feed is a blog, so releases arrive as truncated posts, but the pattern underneath is consistent: management surfaces that used to require the MyKinsta dashboard keep reappearing in the Kinsta API. Domains, HTTPS, logs, and backups moved in July; visitor analytics — user agents, browsers, request origins — followed in August. Around that sits a year of bot-traffic work and a file manager in the dashboard, and the newest post extends resilience past backups into a named disaster-recovery offering.
The direction is toward WordPress hosting that can be operated entirely programmatically, with MyKinsta as one client among others rather than the control plane. Bot handling and now disaster recovery show the second thread: absorbing operational risk customers would otherwise manage themselves. The blog format hides scope — most posts are teasers — so direction is readable here but the size of any single release is not.
Expect the next API release to pick off another MyKinsta-only surface on the same roughly monthly rhythm, with the file manager the obvious candidate. How far disaster recovery goes beyond scheduled backups is the open question these posts do not answer.
PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.
Each release tracks the literature: a Bayesian PIN estimator from Griffin et al., an improved VPIN from Ke and Lin, initial-parameter generation realigned to Ersan and Ghachem. The other steady thread is data handling — matrix inputs so the estimators compose with rolling windows, user-specified aggregation frequencies, and now quote leads as well as lags. The three-year gap between 0.1.2 and 0.2.0 makes this a slow, publication-paced package rather than an actively developed one.
On this pattern the next release adds whatever estimator the authors publish next, since two of the three feature releases here implement a specific paper. Nothing in the entries points to a change in the package's structure.
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 Kinsta or PINstimation.
mice can finally predict, not just estimate, from multiply imputed data.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
A GENCODE annotation toolkit spent its first year getting out of CRAN's way.
See all Kinsta alternatives → · See all PINstimation alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Kinsta is currently shipping more aggressively (velocity 5.0 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. Kinsta is currently shipping more aggressively (velocity 5.0 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 Kinsta alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Kinsta alternatives" section above for the current picks, or visit /alternatives/kinsta for the full list with editorial commentary on each.
Top PINstimation alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PINstimation alternatives" section above for the current picks, or visit /alternatives/pinstimation for the full list with editorial commentary on each.