tibblify
tibblify learned to derive its own specs from OpenAPI, removing the step users disliked most
Comparison · Analytics
glystats vs rpymat
A side-by-side editorial comparison of glystats and rpymat — release velocity, themes, recent moves, and the top alternatives to consider.
glystats vs rpymat: at a glance
What is glystats?
glystats keeps deleting analyses it decided belong somewhere else.
glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.
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.
glystats vs rpymat: editorial side-by-side
glystats
0.0ANALYTICS
glystats keeps deleting analyses it decided belong somewhere else.
◆ Current state
glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.
◆ Where it's heading
The package is narrowing on purpose. The through-line across removals is a refusal to support two calling conventions or two homes for the same analysis: containers only, no bare matrices; one enrichment implementation, in glyfun. The additive work in the window went to statistical rigor rather than surface area, with effect sizes added to the four main tests, sign bugs fixed, and the log2 pseudo-count reduced.
◆ Prediction
With the interface pruning finished, the next releases are more likely to deepen the tests that remain than to add new analysis families.
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 glystats 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 glystats 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 glystats alternatives → · See all rpymat alternatives →
Recent activity from glystats and rpymat
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoglystatsDocs recommend the new SE containers
- 1mo agoglystatsTests recognize both container types consistently
- 1mo agoglystatsMatrix interfaces and enrichment functions removed
- 2mo agorpymatOpenMP conflict workaround and fix_omp_conflict() helper
- 2mo agoglystatsSmaller log2 pseudo-count across DEA and clustering
- 3mo agoglystatsWGCNA and clustering dropped, enrichment deprecated
- 4mo agoglystatsEffect sizes added and test statistic signs fixed
- 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 glystats and rpymat?
They serve adjacent needs but don't currently overlap on shipped themes. glystats and rpymat 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 glystats better than rpymat?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glystats and rpymat 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 glystats?
Top glystats alternatives in Analytics are ranked by recent ship velocity. Browse the "glystats alternatives" section above for the current picks, or visit /alternatives/glystats 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.