ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Alternatives · analytics tools
qtl2fst alternatives
The best qtl2fst alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to qtl2fst? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, qtl2fst shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About qtl2fst
The out-of-memory backend for R/qtl2, feature-complete since 2020 and now purely on upkeep
qtl2fst backs R/qtl2 genotype probabilities with on-disk fst files so large crosses don't have to fit in RAM. Its defining release was 0.22 in 2020, which added calc_genoprob_fst() and genoprob_to_alleleprob_fst() to fuse calculation and storage in one step. The five releases since are documentation links, directory-creation robustness, a Windows example fix, and — in 0.32 — a change to how cores=0 is interpreted.
Velocity 0.0 · Last update 52m ago
Top 12 alternatives to qtl2fst
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
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The R client for Our World in Data found its search had been reading a tenth of the catalog.
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The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
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Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
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A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
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A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
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A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
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The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
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RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy
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A customer segmentation package that went quiet for six years and returned with dependency hygiene
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A k-means implementation that just told users their Spearman clustering on missing data was wrong
qtl2fst vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| qtl2fst (baseline) | 0.0 | 0 | r-packagegeneticsmemory-efficiency | — |
| trendseries | 3.8 | 1 | time-serieseconometricsr-package | Decomposition becomes a first-class operation, five methods deep |
| qtl2 | 2.5 | 0 | qtl-mappingstatistical-geneticsbioinformatics | A genome scan that takes your own likelihood function |
| r-owidapi | 2.5 | 0 | open-dataour-world-in-datar-package | — |
| nflreadr | 0.0 | 0 | r-packagesports-analyticsdata-access | — |
| susier | 0.0 | 0 | r-packagestatistical-geneticsfine-mapping | — |
| UCell | 0.0 | 0 | r-packagesingle-cellgene-signatures | — |
| detectseparation | 0.0 | 0 | r-packageregressiondiagnostics | — |
| brglm2 | 0.0 | 0 | r-packageregressionbias-reduction | 1.0.0 adds maximum DY-prior penalized likelihood for logistic regression |
| bayestools | 0.0 | 0 | r-packagebayesianjags | — |
| robma | 0.0 | 0 | r-packagemeta-analysisbayesian | Unifies six model constructors into one brma class hierarchy |
| rfm | 0.0 | 0 | r-packagecustomer-analyticssegmentation | — |
| tglkmeans | 0.0 | 0 | r-packageclusteringmissing-data | — |
The 12 best qtl2fst alternatives, in depth
1. trendseries · velocity 3.8
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Over the last 30 days trendseries shipped 1 meaningful update vs qtl2fst's 0, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than qtl2fst — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare qtl2fst vs trendseries →
2. qtl2 · velocity 2.5
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.
Where qtl2fst leans on r package, genetics and memory efficiency, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. r-owidapi · velocity 2.5
The R client for Our World in Data found its search had been reading a tenth of the catalog.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r-owidapi trajectory → · Compare qtl2fst vs r-owidapi →
4. nflreadr · velocity 0.0
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, nflreadr focuses on r package, sports analytics and data access.
nflreadr and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. susier · velocity 0.0
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, susier focuses on r package, statistical genetics and fine mapping.
susier and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. UCell · velocity 0.0
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, UCell focuses on r package, single cell and gene signatures.
UCell and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. detectseparation · velocity 0.0
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, detectseparation focuses on r package, regression and diagnostics.
detectseparation and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full detectseparation trajectory → · Compare qtl2fst vs detectseparation →
8. brglm2 · velocity 0.0
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 adds maximum DY-prior penalized likelihood for logistic regression”.
Where qtl2fst leans on r package, genetics and memory efficiency, brglm2 focuses on r package, regression and bias reduction.
brglm2 and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. bayestools · velocity 0.0
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, bayestools focuses on r package, bayesian and jags.
bayestools and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full bayestools trajectory → · Compare qtl2fst vs bayestools →
10. robma · velocity 0.0
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Unifies six model constructors into one brma class hierarchy”.
Where qtl2fst leans on r package, genetics and memory efficiency, robma focuses on r package, meta analysis and bayesian.
robma and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. rfm · velocity 0.0
A customer segmentation package that went quiet for six years and returned with dependency hygiene.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, rfm focuses on r package, customer analytics and segmentation.
rfm and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. tglkmeans · velocity 0.0
A k-means implementation that just told users their Spearman clustering on missing data was wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where qtl2fst leans on r package, genetics and memory efficiency, tglkmeans focuses on r package, clustering and missing data.
tglkmeans and qtl2fst have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tglkmeans trajectory → · Compare qtl2fst vs tglkmeans →
Frequently asked questions
What are the best alternatives to qtl2fst?
The top qtl2fst alternatives we currently track in analytics tools are trendseries, qtl2, r-owidapi, nflreadr, susier, ranked by recent ship velocity.
How is this list of qtl2fst alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare qtl2fst directly with one of these alternatives?
Yes — every card has a "Compare with qtl2fst" link to a side-by-side /compare page.