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condformat vs trendseries

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

Shared themes:r-package

condformat vs trendseries: at a glance

Featurecondformattrendseries
SectorAnalyticsAnalytics
Velocity score0.03.8
Sparks · 30d01
Top themesr-package, table-formatting, test-coverage, maintenance-debttime-series, econometrics, r-package, seasonal-decomposition
Last editorial update37m ago1h ago
WebsiteVisit →Visit →

What is condformat?

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

Read the full condformat trajectory →

What is trendseries?

A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.

trendseries extracts trends from economic time series through two pipe-friendly functions, backed by an unusually broad method set — Hodrick-Prescott in one- and two-sided variants, Baxter-King, Christiano-Fitzgerald, Hamilton regression, Beveridge-Nelson, unobserved components, plus the moving average and smoothing family. The 1.4 release adds decomposition proper: an exported decompose_series() that splits a series into trend, seasonal, and remainder across five methods and guarantees the components add back to the original values.

Read the full trendseries trajectory →

condformat vs trendseries: editorial side-by-side

C
condformat
ANALYTICS
0.0

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

◆ Current state

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

◆ Where it's heading

This is a maintenance-debt payoff rather than a change of direction. The bulk of 0.11.0 is test coverage — render_gtable, knit_print, theme_grob, render_xlsx and rule_fill_bar all gained tests — which reads as a maintainer establishing a safety net before touching anything further. The .col pronoun and scalar recycling in the text rules are the only real API additions, and both smooth inconsistencies rather than extend the rule vocabulary.

◆ Prediction

With coverage and CI now in place, the next release is more likely to extend rule or output-format support than to continue with fixes, though the three-year gap makes cadence hard to call from these entries alone.

T
trendseries
ANALYTICS
3.8

A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.

◆ Current state

trendseries extracts trends from economic time series through two pipe-friendly functions, backed by an unusually broad method set — Hodrick-Prescott in one- and two-sided variants, Baxter-King, Christiano-Fitzgerald, Hamilton regression, Beveridge-Nelson, unobserved components, plus the moving average and smoothing family. The 1.4 release adds decomposition proper: an exported decompose_series() that splits a series into trend, seasonal, and remainder across five methods and guarantees the components add back to the original values.

◆ Where it's heading

The package is moving from breadth of methods to rigour about what those methods produce. Recent work has been about defaults and guarantees rather than new filters: the unobserved components model now derives its signal-to-noise ratios from Hodrick-Prescott lambdas so the default output is economically interpretable, decomposition carries an exact additive identity, and a log transform gives a uniform multiplicative variant across every method. Naming is being tidied in the same spirit, with group_vars deprecated in favour of group_cols. Side-by-side method comparison — passing several methods and getting each one's components as separate columns — suggests an audience that treats method choice as a research question rather than a setting.

◆ Prediction

Expect the comparison and diagnostic side to keep developing, since the package now produces multiple decompositions of the same series and offers no ranking between them; the entries give no indication of new filters being queued.

Alternatives to condformat and trendseries

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 condformat or trendseries.

See all condformat alternatives → · See all trendseries alternatives →

Recent activity from condformat and trendseries

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

  1. 15d agotrendseriesDecomposition becomes a first-class operation, five methods deep
  2. 1mo agocondformatEnds a three-year gap with a 20-PR fix and coverage sweep
  3. 3mo agotrendseriesMulti-column trends and economically grounded UCM defaults
  4. 10mo agotrendseriesFirst production release with 21 trend extraction methods
  5. 2y agocondformatDocumentation fixes and internal S3 method registration
  6. 3y agocondformatcondformat2grob() gains a draw argument for composite figures
  7. 6y agocondformatDrops the lazyeval API and replaces xlsx with openxlsx
  8. 7y agocondformatAdds bar, bold and color rules plus grob rendering
  9. 8y agocondformatIntroduces the tidy-evaluation API alongside the old one

Frequently asked questions

What is the difference between condformat and trendseries?

Both compete on the same themes — r-package — within Analytics. trendseries is currently shipping more aggressively (velocity 3.8 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 condformat better than trendseries?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. trendseries is currently shipping more aggressively (velocity 3.8 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 condformat?

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

What are the best alternatives to trendseries?

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