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igoR vs parglm

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

Shared themes:r

igoR vs parglm: at a glance

FeatureigoRparglm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, political science, data access, documentationr, glm, parallel computing, c++
Last editorial update35m ago35m ago
WebsiteVisit →Visit →

What is igoR?

igoR reached 1.0.0 with no user-visible change, then spent three releases on AI-assisted cleanup

igoR provides access to Intergovernmental Organizations (IGO) databases from the Correlates of War project. The dataset and public API have been stable for years; recent releases are almost entirely maintenance. 1.0.0 in January 2026 raised the minimum R version to 3.6.0 and stated explicitly that users would see no change.

Read the full igoR 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 →

igoR vs parglm: editorial side-by-side

I
igoR
ANALYTICS
0.0

igoR reached 1.0.0 with no user-visible change, then spent three releases on AI-assisted cleanup

◆ Current state

igoR provides access to Intergovernmental Organizations (IGO) databases from the Correlates of War project. The dataset and public API have been stable for years; recent releases are almost entirely maintenance. 1.0.0 in January 2026 raised the minimum R version to 3.6.0 and stated explicitly that users would see no change.

◆ Where it's heading

Development has shifted to documentation and internal consistency, and the mechanism is notable: 1.0.2 and 1.0.3 both describe AI-assisted editing and refactoring, part of a sweep the same maintainer ran across several packages in mid-2026. The one substantive fix in the window is igo_dyadic() computing dyadid from both state codes as documented. Everything else is dependency bumps and message wording.

◆ Prediction

With the internals refactored and documentation reviewed, further releases are likely to track upstream Correlates of War data updates rather than change the API. The entries give no indication of a pending data revision.

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 igoR 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 igoR or parglm.

See all igoR alternatives → · See all parglm alternatives →

Recent activity from igoR 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. 1mo agoigoRigo_dyadic() fixes dyadid computation; internals refactored
  3. 2mo agoigoRDocumentation reviewed with AI-assisted editing
  4. 2mo agoparglmBuild fixes for macOS SDK and thread pool includes
  5. 3mo agoparglmAdd missing <thread> include for older Apple SDKs
  6. 3mo agoparglmThreading overhaul, quasi families, and sandwich/gtsummary compatibility
  7. 3mo agoparglmNew maintainer takes over; C++17 now required
  8. 5mo agoigoRCOPYRIGHTS updated; vignettes migrated to Quarto
  9. 7mo agoigoRFirst major version; minimum R raised to 3.6.0
  10. 1y agoigoRRoutine documentation update
  11. 2y agoigoRRecode helpers for IGO year, state year and dyadic data

Frequently asked questions

What is the difference between igoR and parglm?

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

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

Top igoR alternatives in Analytics are ranked by recent ship velocity. Browse the "igoR alternatives" section above for the current picks, or visit /alternatives/igor 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.