ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Alternatives · analytics tools
condformat alternatives
The best condformat alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to condformat? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, condformat shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 46m ago
Top 12 alternatives to condformat
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
ANALYTICS
The R client for Our World in Data found its search had been reading a tenth of the catalog.
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The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
ANALYTICS
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
ANALYTICS
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
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A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
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A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
ANALYTICS
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
ANALYTICS
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy
ANALYTICS
A customer segmentation package that went quiet for six years and returned with dependency hygiene
ANALYTICS
A k-means implementation that just told users their Spearman clustering on missing data was wrong
condformat vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| condformat (baseline) | 0.0 | 0 | r-packagetable-formattingtest-coverage | — |
| trendseries | 3.8 | 1 | time-serieseconometricsr-package | Decomposition becomes a first-class operation, five methods deep |
| qtl2 | 2.5 | 0 | qtl-mappingstatistical-geneticsbioinformatics | A genome scan that takes your own likelihood function |
| r-owidapi | 2.5 | 0 | open-dataour-world-in-datar-package | — |
| nflreadr | 0.0 | 0 | r-packagesports-analyticsdata-access | — |
| susier | 0.0 | 0 | r-packagestatistical-geneticsfine-mapping | — |
| UCell | 0.0 | 0 | r-packagesingle-cellgene-signatures | — |
| detectseparation | 0.0 | 0 | r-packageregressiondiagnostics | — |
| brglm2 | 0.0 | 0 | r-packageregressionbias-reduction | 1.0.0 adds maximum DY-prior penalized likelihood for logistic regression |
| bayestools | 0.0 | 0 | r-packagebayesianjags | — |
| robma | 0.0 | 0 | r-packagemeta-analysisbayesian | Unifies six model constructors into one brma class hierarchy |
| rfm | 0.0 | 0 | r-packagecustomer-analyticssegmentation | — |
| tglkmeans | 0.0 | 0 | r-packageclusteringmissing-data | — |
The 12 best condformat alternatives, in depth
1. trendseries · velocity 3.8
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Over the last 30 days trendseries shipped 1 meaningful update vs condformat's 0, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than condformat — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare condformat vs trendseries →
2. qtl2 · velocity 2.5
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.
Where condformat leans on r package, table formatting and test coverage, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. r-owidapi · velocity 2.5
The R client for Our World in Data found its search had been reading a tenth of the catalog.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r-owidapi trajectory → · Compare condformat vs r-owidapi →
4. nflreadr · velocity 0.0
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, nflreadr focuses on r package, sports analytics and data access.
nflreadr and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full nflreadr trajectory → · Compare condformat vs nflreadr →
5. susier · velocity 0.0
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, susier focuses on r package, statistical genetics and fine mapping.
susier and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. UCell · velocity 0.0
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, UCell focuses on r package, single cell and gene signatures.
UCell and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. detectseparation · velocity 0.0
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, detectseparation focuses on r package, regression and diagnostics.
detectseparation and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full detectseparation trajectory → · Compare condformat vs detectseparation →
8. brglm2 · velocity 0.0
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 adds maximum DY-prior penalized likelihood for logistic regression”.
Where condformat leans on r package, table formatting and test coverage, brglm2 focuses on r package, regression and bias reduction.
brglm2 and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. bayestools · velocity 0.0
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, bayestools focuses on r package, bayesian and jags.
bayestools and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full bayestools trajectory → · Compare condformat vs bayestools →
10. robma · velocity 0.0
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Unifies six model constructors into one brma class hierarchy”.
Where condformat leans on r package, table formatting and test coverage, robma focuses on r package, meta analysis and bayesian.
robma and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. rfm · velocity 0.0
A customer segmentation package that went quiet for six years and returned with dependency hygiene.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, rfm focuses on r package, customer analytics and segmentation.
rfm and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. tglkmeans · velocity 0.0
A k-means implementation that just told users their Spearman clustering on missing data was wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where condformat leans on r package, table formatting and test coverage, tglkmeans focuses on r package, clustering and missing data.
tglkmeans and condformat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tglkmeans trajectory → · Compare condformat vs tglkmeans →
Frequently asked questions
What are the best alternatives to condformat?
The top condformat alternatives we currently track in analytics tools are trendseries, qtl2, r-owidapi, nflreadr, susier, ranked by recent ship velocity.
How is this list of condformat alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare condformat directly with one of these alternatives?
Yes — every card has a "Compare with condformat" link to a side-by-side /compare page.