ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Alternatives · analytics tools
antareseditobject alternatives
The best antareseditobject alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to antareseditobject? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, antareseditobject 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 antareseditobject
The write half of the Antares R toolchain, hitting 1.0 by tracking the simulator rather than stabilizing
antaresEditObject is the counterpart to antaresRead: it creates, edits and deletes Antares Simulator studies on disk or through the Antares Web API. Releases 0.9.0 through 0.9.3 each absorbed a simulator version — new short-term storage properties, dynamic cluster groups, changed time series dimensions, removed settings. Version 1.0.0 arrived in February 2026 carrying district endpoints and a dependency cut on antaresRead, and 1.0.1 followed with performance work on zip handling and job polling.
Velocity 0.0 · Last update 48m ago
Top 12 alternatives to antareseditobject
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
ANALYTICS
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
ANALYTICS
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
ANALYTICS
A k-means implementation that just told users their Spearman clustering on missing data was wrong
antareseditobject 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 |
|---|---|---|---|---|
| antareseditobject (baseline) | 0.0 | 0 | r-packageenergy-modelingstudy-authoring | — |
| 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 antareseditobject 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 antareseditobject'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 antareseditobject leans on r package, energy modeling and study authoring, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than antareseditobject — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare antareseditobject 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 antareseditobject leans on r package, energy modeling and study authoring, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and antareseditobject have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full qtl2 trajectory → · Compare antareseditobject vs qtl2 →
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 antareseditobject leans on r package, energy modeling and study authoring, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and antareseditobject 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 antareseditobject 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 antareseditobject leans on r package, energy modeling and study authoring, nflreadr focuses on r package, sports analytics and data access.
nflreadr and antareseditobject have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full nflreadr trajectory → · Compare antareseditobject vs nflreadr →
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 antareseditobject leans on r package, energy modeling and study authoring, susier focuses on r package, statistical genetics and fine mapping.
susier and antareseditobject have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full susier trajectory → · Compare antareseditobject vs susier →
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 antareseditobject leans on r package, energy modeling and study authoring, UCell focuses on r package, single cell and gene signatures.
UCell and antareseditobject have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full UCell trajectory → · Compare antareseditobject vs UCell →
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 antareseditobject leans on r package, energy modeling and study authoring, detectseparation focuses on r package, regression and diagnostics.
detectseparation and antareseditobject 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 antareseditobject 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 antareseditobject leans on r package, energy modeling and study authoring, brglm2 focuses on r package, regression and bias reduction.
brglm2 and antareseditobject have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full brglm2 trajectory → · Compare antareseditobject vs brglm2 →
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 antareseditobject leans on r package, energy modeling and study authoring, bayestools focuses on r package, bayesian and jags.
bayestools and antareseditobject 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 antareseditobject 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 antareseditobject leans on r package, energy modeling and study authoring, robma focuses on r package, meta analysis and bayesian.
robma and antareseditobject have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full robma trajectory → · Compare antareseditobject vs robma →
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 antareseditobject leans on r package, energy modeling and study authoring, rfm focuses on r package, customer analytics and segmentation.
rfm and antareseditobject 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 antareseditobject leans on r package, energy modeling and study authoring, tglkmeans focuses on r package, clustering and missing data.
tglkmeans and antareseditobject 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 antareseditobject vs tglkmeans →
Frequently asked questions
What are the best alternatives to antareseditobject?
The top antareseditobject alternatives we currently track in analytics tools are trendseries, qtl2, r-owidapi, nflreadr, susier, ranked by recent ship velocity.
How is this list of antareseditobject alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare antareseditobject directly with one of these alternatives?
Yes — every card has a "Compare with antareseditobject" link to a side-by-side /compare page.