tibblify
tibblify learned to derive its own specs from OpenAPI, removing the step users disliked most
A side-by-side editorial comparison of ieegio and pedmut — release velocity, themes, recent moves, and the top alternatives to consider.
ieegio's first release lands electrode trajectory burning and a WebGL-free surface plot
ieegio handles file I/O and volume manipulation for intracranial EEG and neuroimaging data in R. Only one release is on record, 0.1.0 from May 2026, so there is no cadence to read yet. Its content is a mix of new volume-authoring capability and format-level correctness fixes.
pedmut turns awkward mutation models into ones the likelihood engine can actually handle.
pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().
ieegio handles file I/O and volume manipulation for intracranial EEG and neuroimaging data in R. Only one release is on record, 0.1.0 from May 2026, so there is no cadence to read yet. Its content is a mix of new volume-authoring capability and format-level correctness fixes.
The release points at two audiences at once: burn_curve() writes electrode trajectories — depth/sEEG leads, DBS shafts — into a volume from start and end positions in native RAS coordinates, with a merge mode so trajectories compost onto an existing volume rather than overwriting it. Separately, a base R graphics plot method for surfaces provides a path for environments without WebGL, where the default r3js renderer cannot run. Format work covers BCI2000 and BrainVision channel lookup by label and a quaternion handedness fix aligning with FreeSurfer conventions.
A single release gives no basis for predicting cadence. The FreeSurfer alignment and multi-format channel handling suggest interoperability with established neuroimaging toolchains is the near-term priority.
pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().
The consistent goal is making models satisfy the mathematical properties downstream algorithms require. Reversibility, stationarity, and lumpability each unlock something in pedprobr, and the package keeps adding ways to coerce an arbitrary model into having them. lumpMutSpecial() is explicitly incomplete, described as covering only some cases with more possibly to follow, which sets up the main open thread.
Expect additional special lumping cases to be implemented, since the package documents the current coverage as partial and pedprobr's likelihood performance depends directly on it.
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 ieegio or pedmut.
tibblify learned to derive its own specs from OpenAPI, removing the step users disliked most
spsurvey has spent four years consolidating after its 5.0.0 rewrite rather than adding to it
StreamCatTools is quietly moving off web services and onto cloud-native GeoParquet
reproducible added a windowed read path so remote GeoTiffs never fully download
qcTAF is building an automated checklist for reproducible fisheries assessments, one criterion at a time
After three dormant years, rpymat returned to fix the OpenMP crash that breaks R and conda together
See all ieegio alternatives → · See all pedmut alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ieegio and pedmut 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ieegio and pedmut 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.
Top ieegio alternatives in Analytics are ranked by recent ship velocity. Browse the "ieegio alternatives" section above for the current picks, or visit /alternatives/ieegio for the full list with editorial commentary on each.
Top pedmut alternatives in Analytics are ranked by recent ship velocity. Browse the "pedmut alternatives" section above for the current picks, or visit /alternatives/pedmut for the full list with editorial commentary on each.