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geodist vs TwoSampleMR

A side-by-side editorial comparison of geodist and TwoSampleMR — release velocity, themes, recent moves, and the top alternatives to consider.

geodist vs TwoSampleMR: at a glance

FeaturegeodistTwoSampleMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, distance-calculation, zero-dependency, c-codemendelian-randomization, genetic-epidemiology, correctness-fixes, opengwas
Last editorial update1h ago7h ago
WebsiteVisit →Visit →

What is geodist?

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

Read the full geodist trajectory →

What is TwoSampleMR?

The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.

TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.

Read the full TwoSampleMR trajectory →

geodist vs TwoSampleMR: editorial side-by-side

G
geodist
ANALYTICS
0.0

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

◆ Current state

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

◆ Where it's heading

Development has been about making the speed-accuracy trade visible rather than hiding it. The 0.0.6 release added messages telling users to pick a different measure once the default cheap approximation is applied beyond 100km, where its error stops being negligible. Around that, the work is input handling — tibble support, better lon/lat column matching, vector inputs — and hardening the C code. It is a package that treats being small and correct as the feature.

◆ Prediction

Expect continued low-frequency maintenance: compiler warnings and geodesic source updates account for three of the last six releases, and the function surface has grown by only two entries in five years.

T
TwoSampleMR
ANALYTICS
0.0

The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.

◆ Current state

TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.

◆ Where it's heading

The pattern across these releases is a package being read line by line — a copy-paste weight vector in ldsc_rg(), chunking that produced zero splits for short SNP lists, penalisation recycled across the wrong SNPs, dead code paths removed, and regression tests added behind each fix. Alongside it runs a mechanical modernization pass: seq_len() for loop indices, tidyr in place of reshape2, current ggplot2 idioms, and the OpenGWAS URL migration. Feature work is limited to forest plot presentation.

◆ Prediction

Expect the audit to continue through the remaining bootstrap and jackknife routines, with releases staying in the 0.7.x patch range and each fix arriving with its own regression test.

Alternatives to geodist and TwoSampleMR

Other Analytics 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 geodist or TwoSampleMR.

See all geodist alternatives → · See all TwoSampleMR alternatives →

Recent activity from geodist and TwoSampleMR

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoTwoSampleMRBootstrap standard errors corrected in mode and Rucker estimators
  2. 2mo agoTwoSampleMRWrong weight vector and chunking fixes across the estimator set
  3. 2mo agoTwoSampleMRDeprecated ggplot2 idioms and dead code removed
  4. 3mo agoTwoSampleMROpenGWAS URLs migrated and Wald ratio warnings quieted
  5. 4mo agoTwoSampleMRCategorized forest plots aligned with the published figures
  6. 4mo agoTwoSampleMRFurther internal code optimizations
  7. 1y agogeodistgeodist 0.1.1 clears a clang warning in geodesic.c
  8. 2y agogeodistgeodist 0.1.0 adds geodist_min() for nearest matches
  9. 3y agogeodistgeodist 0.0.8 updates geodesic source, fixes clang warnings
  10. 5y agogeodistgeodist 0.0.7 improves lon/lat column matching and tibbles
  11. 5y agogeodistgeodist 0.0.6 warns when cheap distances exceed 100km
  12. 6y agogeodistgeodist 0.0.4 adds geodist_vec() for vector inputs

Frequently asked questions

What is the difference between geodist and TwoSampleMR?

They serve adjacent needs but don't currently overlap on shipped themes. geodist and TwoSampleMR are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is geodist better than TwoSampleMR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geodist and TwoSampleMR are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to geodist?

Top geodist alternatives in Analytics are ranked by recent ship velocity. Browse the "geodist alternatives" section above for the current picks, or visit /alternatives/geodist-r for the full list with editorial commentary on each.

What are the best alternatives to TwoSampleMR?

Top TwoSampleMR alternatives in Analytics are ranked by recent ship velocity. Browse the "TwoSampleMR alternatives" section above for the current picks, or visit /alternatives/twosamplemr for the full list with editorial commentary on each.