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ieegio vs parglm

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

Shared themes:r

ieegio vs parglm: at a glance

Featureieegioparglm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, neuroimaging, ieeg, file formatsr, glm, parallel computing, c++
Last editorial update33m ago33m ago
WebsiteVisit →Visit →

What is ieegio?

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.

Read the full ieegio trajectory →

What is parglm?

Under a new maintainer, parglm traded raw speed work for glm parity and memory safety

parglm fits generalized linear models using parallel QR decomposition, targeting datasets where glm() is too slow. Tom Palmer took over maintenance at 0.1.8 in April 2026, and the package has released five times since — a burst of activity after a long quiet period. 0.2.0 in July 2026 is the first release to focus on correctness rather than throughput.

Read the full parglm trajectory →

ieegio vs parglm: editorial side-by-side

I
ieegio
ANALYTICS
0.0

ieegio's first release lands electrode trajectory burning and a WebGL-free surface plot

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

P
parglm
ANALYTICS
0.0

Under a new maintainer, parglm traded raw speed work for glm parity and memory safety

◆ Current state

parglm fits generalized linear models using parallel QR decomposition, targeting datasets where glm() is too slow. Tom Palmer took over maintenance at 0.1.8 in April 2026, and the package has released five times since — a burst of activity after a long quiet period. 0.2.0 in July 2026 is the first release to focus on correctness rather than throughput.

◆ Where it's heading

The arc runs from performance to trustworthiness. 0.1.9 was a large optimization release — deque-based task queues, fused memory passes, upper-triangle-only Fisher information, thread_local IDs — plus ecosystem integration with sandwich and gtsummary. 0.2.0 then fixed an out-of-bounds write triggered by small block_size values and a path where a non-finite working response could poison the QR decomposition, and brought response-type handling in line with glm().

◆ Prediction

With the memory-safety issues addressed and glm parity closed for binomial responses, further work is likely to extend family coverage or the benchmark suite rather than revisit the threading model. The C++17 requirement set at 0.1.8 gives room for more aggressive optimization if the maintainer returns to that.

Alternatives to ieegio and parglm

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 parglm.

See all ieegio alternatives → · See all parglm alternatives →

Recent activity from ieegio and parglm

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

  1. 1mo agoparglmglm-compatible response types plus out-of-bounds and QR safety fixes
  2. 2mo agoieegioburn_curve() writes electrode trajectories into volumes
  3. 2mo agoparglmBuild fixes for macOS SDK and thread pool includes
  4. 3mo agoparglmAdd missing <thread> include for older Apple SDKs
  5. 3mo agoparglmThreading overhaul, quasi families, and sandwich/gtsummary compatibility
  6. 3mo agoparglmNew maintainer takes over; C++17 now required

Frequently asked questions

What is the difference between ieegio and parglm?

Both compete on the same themes — r — within Analytics. ieegio and parglm 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 ieegio better than parglm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ieegio and parglm 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 ieegio?

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.

What are the best alternatives to parglm?

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