← Back to home
Comparison · Analytics

oblicubes vs timeplyr

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

Shared themes:r

oblicubes vs timeplyr: at a glance

Featureoblicubestimeplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, data-viz, grid-graphics, ggplot2time-series, r, dplyr, data.table
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is oblicubes?

A tiny grid renderer for oblique-projection cubes, complete since its first release.

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

Read the full oblicubes trajectory →

What is timeplyr?

timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.

timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.

Read the full timeplyr trajectory →

oblicubes vs timeplyr: editorial side-by-side

O
oblicubes
ANALYTICS
0.0

A tiny grid renderer for oblique-projection cubes, complete since its first release.

◆ Current state

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

◆ Where it's heading

The package is finished and its maintainer is treating it that way. 1.0.0 removed the R 4.1 native pipe from examples specifically so earlier R versions could use it — reaching backward, not forward — and added image alt text. The only change since is swapping a deprecated dplyr call in examples.

◆ Prediction

Expect nothing beyond occasional dependency deprecation fixes; the release pattern shows a small, deliberately complete package being kept installable.

T
timeplyr
ANALYTICS
0.0

timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.

◆ Current state

timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.

◆ Where it's heading

The arc is consolidation, not expansion. Each release since 1.0.0 trims arguments, renames functions toward a single vocabulary (width, timespan, grid), or fixes an interaction with data.table's own rolling functions. The package increasingly acts as a thin time layer over cheapr and data.table rather than carrying its own implementation.

◆ Prediction

Expect continued small releases tracking cheapr and data.table changes rather than new function families; the entries show no in-progress feature work beyond the ggplot2-friendly breakpoint helpers introduced in 1.1.1.

Alternatives to oblicubes and timeplyr

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 oblicubes or timeplyr.

See all oblicubes alternatives → · See all timeplyr alternatives →

Recent activity from oblicubes and timeplyr

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

  1. 4mo agotimeplyrLeap-day and time_complete(.by=) bug fixes
  2. 6mo agooblicubesExamples updated to dplyr::reframe()
  3. 10mo agotimeplyrtime_breakpoints added; rolling calcs realigned to data.table
  4. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  5. 1y agotimeplyrFixed-width time intervals; non-time functions removed
  6. 1y agotimeplyrtime_intervals on by default; year_month/year_quarter ggplot2 scales
  7. 2y agotimeplyrRegression fixes after the 0.8.0 refactor
  8. 2y agotimeplyrC++ layer moved to cheapr; time_interval class introduced
  9. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs

Frequently asked questions

What is the difference between oblicubes and timeplyr?

Both compete on the same themes — r — within Analytics. oblicubes and timeplyr 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 oblicubes better than timeplyr?

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

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

What are the best alternatives to timeplyr?

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