29 products Sparkpulse tracks are shipping around time series. The highest-velocity time series products right now are QuestDB, TimescaleDB and trendseries (ranked by Sparkpulse's velocity score). The theme runs across 3 sectors, so the momentum you see here is drawn from products competing in different corners of the market. Their velocity scores span 0.0 to 6.3 out of 10, a spread that shows how unevenly shipping cadence is distributed across the field. Below: every tracked product carrying this theme, updated from release data. Everything on this page is regenerated from verified release data, so the ranking reflects the latest changelogs rather than a static list.
#01QuestDBQuestDB 10.0 collapses ingest and egress into one binary protocol, then aims at agent-run notebooks.6.3alternatives →#02TimescaleDBTimescaleDB is paying down correctness debt in its columnstore query paths.5.0alternatives →#03trendseriesA trend-extraction toolkit grows a full decomposition engine, seasonal components and all.3.8alternatives →#04mlr3fdaA functional-data feature factory for mlr3, shipping a new extractor almost every month.2.5alternatives →#05Apache TsFileTsFile is quietly rebuilding itself as an Arrow-speaking interchange format2.5alternatives →#06fitVARMxIDA VAR-model fitting package acquiring the standard R methods it launched without2.5alternatives →#07tsibbletsibble shipped one release in five and a half years - the data structure is finished0.0alternatives →#08VictoriaMetricsFive of six VictoriaMetrics entries are scraped GitHub page furniture; one is a real LTS patch.0.0alternatives →#09ggdemetraA ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.0.0alternatives →#10xtsxts is finished software, and its releases now track R's C API more than user requests.0.0alternatives →#11healthyR.tshealthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.0.0alternatives →#12mantisThirteen months of rOpenSci review turned a pre-release into a 1.0 with a stable API0.0alternatives →#13svinesStationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.0.0alternatives →#14daiquiriA data-quality report generator that finished its API rewrite and has been coasting on small features since.0.0alternatives →#15GraphiteGraphite's answer to its own CVE backlog is a pre-release nobody calls official.0.0alternatives →#16timetktimetk swallowed anomalize whole, then went quiet for two years0.0alternatives →#17modeltime.resamplemodeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.0.0alternatives →#18rjd3highfreqrjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.0.0alternatives →#19Apache IoTDBThe table model is becoming a real SQL engine, and a C driver opens the industrial edge.0.0alternatives →#20forecastAfter years of pure maintenance, forecast 9.0.0 reopens the package0.0alternatives →#21timeplyrtimeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.0.0alternatives →#22fablefable keeps widening its model shelf, one econometric class at a time0.0alternatives →#23tbrfTime-based rolling statistics for water-quality data, finally getting plotting and padding built in.0.0alternatives →#24feastsfeasts is splitting itself in two, moving every plot into ggtime0.0alternatives →#25aedseoAn epidemic-onset detector that now brackets the whole season, not just its start0.0alternatives →#26fabletoolsThe tidyverts forecasting core rebuilt model combination on full residual covariance.0.0alternatives →#27finntsMicrosoft's automated forecasting framework, still mostly a one-maintainer effort.0.0alternatives →#28eiaapiA thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.0.0alternatives →#29tEDMThe temporal half of the stscl EDM pair, tracking its spatial sibling0.0alternatives →
Frequently asked questions about time series
Which SaaS tools ship time series in 2026?
QuestDB, TimescaleDB, trendseries, mlr3fda, Apache TsFile, and 24 more — the time series products Sparkpulse tracks, ranked by shipping velocity from verified changelogs.
Which time series product has the highest shipping velocity?
QuestDB, with the top velocity score (6.3/10) — Sparkpulse's velocity score is derived from verified release data.
How many products are shipping around time series?
Sparkpulse currently tracks 29 products carrying the time series theme, updated continuously from verified release data.