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Comparison · Analytics

Plotly vs timeplyr

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

Plotly vs timeplyr: at a glance

FeaturePlotlytimeplyr
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesai-app-building, plotly-cloud, metered-billing, custom-domainstime-series, r, dplyr, data.table
Last editorial update8h ago3d ago
WebsiteVisit →Visit →

What is Plotly?

Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.

Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.

Read the full Plotly 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 →

Plotly vs timeplyr: editorial side-by-side

P
Plotly
ANALYTICS
6.3

Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.

◆ Current state

Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.

◆ Where it's heading

The Cloud releases are assembling the standard pieces of a hosting business in order — identity first (domain verification, explicitly framed as the step before SSO), then billing (viewer seats, then metered compute credits), and now production-grade serving (custom domains, automatic certificate renewal). Studio is being hardened as the authoring front end that feeds it: Universal Deployment pushed beyond Dash apps, credentials saved once and reused, a Winget channel to widen Windows installs, and in v0.0.86 a rebuilt session engine plus automatic retries so agent runs survive expired tokens. The two tracks converge on one funnel — author in Studio, deploy to Cloud, pay by compute consumed.

◆ Prediction

The Domain Verification entry names SSO as the next step and places it in the Enterprise tier, so single sign-on is the most likely Cloud release next. Studio should hold its one-to-two-week cadence, with the newly added app thumbnails pointing toward more work on browsing and organizing generated apps.

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 Plotly 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 Plotly or timeplyr.

See all Plotly alternatives → · See all timeplyr alternatives →

Recent activity from Plotly and timeplyr

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

  1. 14d agoPlotlyCustom Domains in Plotly Cloud
  2. 24d agoPlotlyPlotly Studio v0.0.85: Breadcrumbs & minor bug fixes
  3. 1mo agoPlotlyPlotly Studio v0.0.84: Faster AI, Saved Credentials, and Winget Support
  4. 1mo agoPlotlyCompute Modes and App Sizing in Plotly Cloud
  5. 1mo agoPlotlyPlotly Studio 0.0.83: Dash Update and macOS Fixes
  6. 2mo agoPlotlyPlotly Studio v0.0.82: Override for credential redaction, stability fixes
  7. 4mo agotimeplyrLeap-day and time_complete(.by=) bug fixes
  8. 10mo agotimeplyrtime_breakpoints added; rolling calcs realigned to data.table
  9. 1y agotimeplyrFixed-width time intervals; non-time functions removed
  10. 2y agotimeplyrtime_intervals on by default; year_month/year_quarter ggplot2 scales
  11. 2y agotimeplyrRegression fixes after the 0.8.0 refactor
  12. 2y agotimeplyrC++ layer moved to cheapr; time_interval class introduced

Frequently asked questions

What is the difference between Plotly and timeplyr?

They serve adjacent needs but don't currently overlap on shipped themes. Plotly is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Plotly better than timeplyr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Plotly is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Plotly?

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