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Plotly vs tidyposterior

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

Plotly vs tidyposterior: at a glance

FeaturePlotlytidyposterior
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesai-app-building, plotly-cloud, metered-billing, custom-domainstidymodels, bayesian-analysis, model-comparison, maintenance-mode
Last editorial update6h ago5d 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 tidyposterior?

A finished Bayesian model-comparison package in pure maintenance mode

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

Read the full tidyposterior trajectory →

Plotly vs tidyposterior: 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
tidyposterior
ANALYTICS
0.0

A finished Bayesian model-comparison package in pure maintenance mode

◆ Current state

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

◆ Where it's heading

The package tracks its dependencies rather than developing on its own line, and the dependencies do the moving: rstanarm API changes, dplyr 1.0.0, testthat 3e, ggplot2. Its integration surface widened once, when perf_mod() gained methods for tuning parameter objects from tune, finetune, and workflowsets, and has been stable since. This is what a completed package in an active ecosystem looks like.

◆ Prediction

Expect the next release to be triggered by an upstream change rather than by anything tidyposterior wants to do differently.

Alternatives to Plotly and tidyposterior

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 tidyposterior.

See all Plotly alternatives → · See all tidyposterior alternatives →

Recent activity from Plotly and tidyposterior

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. 1y agotidyposteriortidyposterior 1.0.1.9000 prepares for an upcoming ggplot2 release
  8. 2y agotidyposteriortidyposterior 1.0.1 fixes a test broken under R-devel
  9. 4y agotidyposteriortidyposterior 1.0.0 modernizes internals to pivot_longer and testthat 3e
  10. 5y agotidyposteriortidyposterior 0.1.0 adds perf_mod() methods for tune and workflowsets
  11. 6y agotidyposteriortidyposterior 0.0.3 returns tibbles and adds a formula override
  12. 7y agotidyposteriortidyposterior 0.0.2 removes example RData files for CRAN

Frequently asked questions

What is the difference between Plotly and tidyposterior?

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 tidyposterior?

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 tidyposterior?

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