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ggraph vs timetk

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

ggraph vs timetk: at a glance

Featureggraphtimetk
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnetwork-visualization, ggplot2, r-stats, maintenancetime-series, anomaly-detection, visualization, feature-engineering
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is ggraph?

ggraph has settled into ggplot2 compatibility duty

ggraph provides the grammar of graphics for network and tree data. Its recent releases are compatibility and bug-fix work — a collapse fix in get_edges() alongside ggplot2 v4.0.0 upkeep, and before that a pipe rollback. The last release with real content was 2.2.0, a long list of layout and edge-geom corrections.

Read the full ggraph trajectory →

What is timetk?

timetk swallowed anomalize whole, then went quiet for two years

timetk handles time series wrangling, visualization, and feature engineering in a tidyverse idiom. Its defining recent move was absorbing the anomalize package outright in 2.9.0, bringing anomaly detection, cleaning, and the associated plots inside timetk rather than leaving them in a sibling package. Development then paused for nearly two years before 2.9.1, a robustness and documentation release.

Read the full timetk trajectory →

ggraph vs timetk: editorial side-by-side

G
ggraph
ANALYTICS
0.0

ggraph has settled into ggplot2 compatibility duty

◆ Current state

ggraph provides the grammar of graphics for network and tree data. Its recent releases are compatibility and bug-fix work — a collapse fix in get_edges() alongside ggplot2 v4.0.0 upkeep, and before that a pipe rollback. The last release with real content was 2.2.0, a long list of layout and edge-geom corrections.

◆ Where it's heading

The feature surface looks finished and the maintenance is about keeping it working under a moving ggplot2. The one architectural move in this window — pushing dendrogram layout into compiled code to escape R's recursion limits, back in 2.1.0 — was about scaling existing features, not adding new ones.

◆ Prediction

Expect the next release to follow ggplot2 4.0.0 rather than introduce layouts or edge geoms.

T
timetk
ANALYTICS
0.0

timetk swallowed anomalize whole, then went quiet for two years

◆ Current state

timetk handles time series wrangling, visualization, and feature engineering in a tidyverse idiom. Its defining recent move was absorbing the anomalize package outright in 2.9.0, bringing anomaly detection, cleaning, and the associated plots inside timetk rather than leaving them in a sibling package. Development then paused for nearly two years before 2.9.1, a robustness and documentation release.

◆ Where it's heading

The trajectory before the pause was consolidation: fold in adjacent functionality, then make the visualization layer handle many series at once via trelliscopejs, then broaden feature generation with tk_tsfeatures(). The recent release works on the least glamorous layer — internal generics so date parsing and sequence generation behave consistently across Date, POSIXct, hms, yearmon, and yearqtr — which is the kind of foundation work a package does when it has accumulated too many special cases. The long gap and the CI-refresh content suggest maintenance attention rather than a new direction.

◆ Prediction

The stated gap is the unimplemented twitter method for anomalize(), which is the one concrete outstanding item the release notes name; beyond that the recent work points to consolidation rather than expansion.

Alternatives to ggraph and timetk

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 ggraph or timetk.

See all ggraph alternatives → · See all timetk alternatives →

Recent activity from ggraph and timetk

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

  1. 11mo agotimetktimetk 2.9.1 makes date parsing consistent across time classes
  2. 11mo agoggraphget_edges() collapse fix and ggplot2 v4 upkeep
  3. 2y agoggraphNative pipe usage rolled back
  4. 2y agoggraphLayout precision and edge geom fixes across the package
  5. 2y agotimetktimetk 2.9.0 absorbs the anomalize package
  6. 3y agoggraphBinned edge scales and compiled dendrogram layouts
  7. 4y agotimetktimetk 2.8.1 exposes trelliscope plotting parameters
  8. 4y agotimetktimetk 2.8.0 adds trelliscopejs support for many-series plots
  9. 4y agotimetktimetk 2.7.0 adds tk_tsfeatures() for grouped feature matrices
  10. 4y agotimetktimetk 2.6.2 adds .week_start and facet direction controls
  11. 5y agoggraphC++11 pinned to fix std::random_shuffle deprecation
  12. 5y agoggraphFaceting and edge geom bug fixes

Frequently asked questions

What is the difference between ggraph and timetk?

They serve adjacent needs but don't currently overlap on shipped themes. ggraph and timetk 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 ggraph better than timetk?

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

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

What are the best alternatives to timetk?

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