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A grammar for experimental design that learned to compose designs and track its own provenance.
Alternatives · analytics tools
segregatr alternatives
The best segregatr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 16, 2026
Looking for the best alternatives to segregatr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, segregatr 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 segregatr
A segregation-analysis tool that keeps widening which pedigrees it can actually handle.
segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.
Velocity 0.0 · Last update 31m ago
Top 12 alternatives to segregatr
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
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Brazil's flight-data package keeps working around what ANAC publishes and when.
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A star-schema modelling package grew a query language, a deployment path, and then a map layer.
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A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
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PACTA's loan-book matcher opened up to sector taxonomies other than its own.
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PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
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An ensemble sampler just admitted its walkers were barely talking to each other.
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Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.
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UNHCR's chart theme re-based itself on a new house standard, then lost its font pipeline to CRAN attrition.
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The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
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The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
segregatr 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 |
|---|---|---|---|---|
| segregatr (baseline) | 0.0 | 0 | statistical-geneticspedigree-analysisvariant-classification | segregatr 0.3.0 |
| edibble | 0.0 | 0 | experimental-designgrammar-of-designreproducibility | edibble 1.1.0 |
| secuTrialR | 0.0 | 0 | clinical-trialsdata-importcdms | — |
| flightsbr | 0.0 | 0 | open-dataaviationbrazil | — |
| rolap | 0.0 | 0 | olapstar-schemadata-warehousing | rolap 2.4.0 |
| kwb.db | 0.0 | 0 | database-accessodbcresearch-infrastructure | — |
| r2dii.match | 0.0 | 0 | climate-financeentity-matchingpacta | r2dii.match 0.3.0 |
| r2dii.plot | 0.0 | 0 | climate-financedata-visualizationpacta | r2dii.plot 0.4.0 |
| mcmcensemble | 0.0 | 0 | mcmcbayesian-inferenceensemble-sampling | Walker correlation bug fixed, changing results at any seed |
| remora | 0.0 | 0 | acoustic-telemetrymarine-sciencequality-control | remora 0.8-0 |
| unhcrthemes | 0.0 | 0 | data-visualizationggplot2-themebrand-standards | Theme and palettes rebuilt on the 2025 UNHCR guidelines |
| broom.helpers | 0.0 | 0 | regression-tidyingr-packagegtsummary | broom.helpers 1.17.0 |
| hubVis | 0.0 | 0 | forecast-visualizationhubverser-package | — |
The 12 best segregatr alternatives, in depth
1. edibble · velocity 0.0
A grammar for experimental design that learned to compose designs and track its own provenance.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “edibble 1.1.0”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, edibble focuses on experimental design, grammar of design and reproducibility.
edibble and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. secuTrialR · velocity 0.0
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, secuTrialR focuses on clinical trials, data import and cdms.
secuTrialR and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full secuTrialR trajectory → · Compare segregatr vs secuTrialR →
3. flightsbr · velocity 0.0
Brazil's flight-data package keeps working around what ANAC publishes and when.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, flightsbr focuses on open data, aviation and brazil.
flightsbr and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full flightsbr trajectory → · Compare segregatr vs flightsbr →
4. rolap · velocity 0.0
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “rolap 2.4.0”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, rolap focuses on olap, star schema and data warehousing.
rolap and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. kwb.db · velocity 0.0
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, kwb.db focuses on database access, odbc and research infrastructure.
kwb.db and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. r2dii.match · velocity 0.0
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “r2dii.match 0.3.0”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, r2dii.match focuses on climate finance, entity matching and pacta.
r2dii.match and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r2dii.match trajectory → · Compare segregatr vs r2dii.match →
7. r2dii.plot · velocity 0.0
PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “r2dii.plot 0.4.0”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, r2dii.plot focuses on climate finance, data visualization and pacta.
r2dii.plot and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r2dii.plot trajectory → · Compare segregatr vs r2dii.plot →
8. mcmcensemble · velocity 0.0
An ensemble sampler just admitted its walkers were barely talking to each other.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Walker correlation bug fixed, changing results at any seed”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, mcmcensemble focuses on mcmc, bayesian inference and ensemble sampling.
mcmcensemble and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mcmcensemble trajectory → · Compare segregatr vs mcmcensemble →
9. remora · velocity 0.0
Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “remora 0.8-0”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, remora focuses on acoustic telemetry, marine science and quality control.
remora and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. unhcrthemes · velocity 0.0
UNHCR's chart theme re-based itself on a new house standard, then lost its font pipeline to CRAN attrition.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Theme and palettes rebuilt on the 2025 UNHCR guidelines”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, unhcrthemes focuses on data visualization, ggplot2 theme and brand standards.
unhcrthemes and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full unhcrthemes trajectory → · Compare segregatr vs unhcrthemes →
11. broom.helpers · velocity 0.0
The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “broom.helpers 1.17.0”.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, broom.helpers focuses on regression tidying, r package and gtsummary.
broom.helpers and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full broom.helpers trajectory → · Compare segregatr vs broom.helpers →
12. hubVis · velocity 0.0
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where segregatr leans on statistical genetics, pedigree analysis and variant classification, hubVis focuses on forecast visualization, hubverse and r package.
hubVis and segregatr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to segregatr?
The top segregatr alternatives we currently track in analytics tools are edibble, secuTrialR, flightsbr, rolap, kwb.db, ranked by recent ship velocity.
How is this list of segregatr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare segregatr directly with one of these alternatives?
Yes — every card has a "Compare with segregatr" link to a side-by-side /compare page.