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Comparison · Analytics
ibdsim2 vs rpymat
A side-by-side editorial comparison of ibdsim2 and rpymat — release velocity, themes, recent moves, and the top alternatives to consider.
ibdsim2 vs rpymat: at a glance
What is ibdsim2?
A pedigree IBD simulator that absorbed its own web app and now optimises for dense marker panels.
ibdsim2 simulates identity-by-descent sharing along chromosomes for arbitrary pedigrees, in both autosomal and X-chromosomal form, with downstream tools for segment statistics, pattern finding and distribution plots. Since 2.1.0 the Shiny front end lives inside the package and launches via launchApp() rather than sitting in a separate repository. The latest release is performance work, with profileSimIBD() substantially sped up for dense marker panels and ibdsim() skipping recombination in pedigree branches that cannot affect the result.
What is rpymat?
After three dormant years, rpymat returned to fix the OpenMP crash that breaks R and conda together
rpymat manages an isolated conda-based Python environment for R packages, providing a reproducible bridge without touching the user's system Python. It released steadily through 2022-2023 and then went quiet for nearly three years. 0.1.9 in May 2026 is the first release since, and it addresses a specific and long-standing failure mode.
ibdsim2 vs rpymat: editorial side-by-side
ibdsim2
2.5ANALYTICS
A pedigree IBD simulator that absorbed its own web app and now optimises for dense marker panels.
◆ Current state
ibdsim2 simulates identity-by-descent sharing along chromosomes for arbitrary pedigrees, in both autosomal and X-chromosomal form, with downstream tools for segment statistics, pattern finding and distribution plots. Since 2.1.0 the Shiny front end lives inside the package and launches via launchApp() rather than sitting in a separate repository. The latest release is performance work, with profileSimIBD() substantially sped up for dense marker panels and ibdsim() skipping recombination in pedigree branches that cannot affect the result.
◆ Where it's heading
Two long-running threads. One is the app as a first-class part of the package, which has been getting input validation, dependency checks and plotting fixes release after release, treating a research GUI as software to be maintained rather than a demo. The other is numerical care: the built-in recombination map was rebuilt in 2.3.0 with better chromosome endpoints and a thinning algorithm that cut it from about 38,000 points to 14,000 without losing accuracy, and IBD segment merging has been made consistent across the realised-coefficient functions. The maintainer flags repeatedly that seeded results may differ across versions, which is the right disclosure for a simulator used in published analyses.
◆ Prediction
The recent work points at further speed on dense panels and continued hardening of app input handling, both of which have appeared in each of the last several releases. Nothing here signals a new modelling capability on the way.
rpymat
0.0ANALYTICS
After three dormant years, rpymat returned to fix the OpenMP crash that breaks R and conda together
◆ Current state
rpymat manages an isolated conda-based Python environment for R packages, providing a reproducible bridge without touching the user's system Python. It released steadily through 2022-2023 and then went quiet for nearly three years. 0.1.9 in May 2026 is the first release since, and it addresses a specific and long-standing failure mode.
◆ Where it's heading
The work is about surviving the seams between two runtimes. 0.1.9 addresses OpenMP double-initialization — the error users hit when R's OpenMP and conda's disagree — by setting KMP_DUPLICATE_LIB_OK as a compromise, and adds fix_omp_conflict() to symlink over conda's built-in version as the recommended real fix. The caveat is stated plainly: users must re-run it whenever R is updated, and the ABI versions must match. Earlier releases followed the same pattern, with 0.1.2 fixing segfaults from incompatible BLAS between numpy and R.
◆ Prediction
The recurring theme across releases is native library conflicts between the R and conda stacks, so further releases are likely to keep patching that surface as Python versions move. The three-year gap makes cadence unpredictable.
Alternatives to ibdsim2 and rpymat
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 ibdsim2 or rpymat.
spsurvey
spsurvey has spent four years consolidating after its 5.0.0 rewrite rather than adding to it
StreamCatTools
StreamCatTools is quietly moving off web services and onto cloud-native GeoParquet
reproducible
reproducible added a windowed read path so remote GeoTiffs never fully download
qcTAF
qcTAF is building an automated checklist for reproducible fisheries assessments, one criterion at a time
ieegio
ieegio's first release lands electrode trajectory burning and a WebGL-free surface plot
See all ibdsim2 alternatives → · See all rpymat alternatives →
Recent activity from ibdsim2 and rpymat
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11d agoibdsim2profileSimIBD() sped up for dense marker panels; segment merging fixed
- 2mo agorpymatOpenMP conflict workaround and fix_omp_conflict() helper
- 8mo agoibdsim2Segment-distribution merge argument, and function-valued parameters
- 1y agoibdsim2Built-in decode19 recombination map rebuilt, cutting 38k points to 14k
- 1y agoibdsim2Consistent IBD segment merging across the realised-coefficient functions
- 1y agoibdsim2Built-in pedigree labels revised; extra inbred examples added
- 1y agoibdsim2The Shiny front end moves into the package and gains X-chromosomal simulation ⚡
- 3y agorpymatFix installation regression from 0.1.5
- 3y agorpymatFile choosers, reticulate conversion ports and reusable conda detection
- 4y agorpymatWindows support and BLAS segfault fix
Frequently asked questions
What is the difference between ibdsim2 and rpymat?
They serve adjacent needs but don't currently overlap on shipped themes. ibdsim2 is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ibdsim2 better than rpymat?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ibdsim2 is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to ibdsim2?
Top ibdsim2 alternatives in Analytics are ranked by recent ship velocity. Browse the "ibdsim2 alternatives" section above for the current picks, or visit /alternatives/ibdsim2 for the full list with editorial commentary on each.
What are the best alternatives to rpymat?
Top rpymat alternatives in Analytics are ranked by recent ship velocity. Browse the "rpymat alternatives" section above for the current picks, or visit /alternatives/rpymat for the full list with editorial commentary on each.