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dfms vs textshaping

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

dfms vs textshaping: at a glance

Featuredfmstextshaping
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnowcasting, state-space-models, econometrics, ropenscitypography, text-shaping, bidi, graphics-stack
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is dfms?

Peer-reviewed, feature-complete, and now able to hand its models to other forecasting engines.

dfms estimates dynamic factor models in R, the workhorse for nowcasting economic activity from ragged, mixed-frequency data. The package worked through the Banbura and Modugno (2014) specification in stages — quarterly variables in 0.3.0, AR(1) idiosyncratic errors combined with mixed frequency in 0.4.0 — then declared 1.0.0 feature-complete on completing rOpenSci peer review, adding news decomposition to attribute forecast revisions to specific data releases. Version 1.0.1 adds convert(), which exports fitted models to dlm or KFAS state-space objects.

Read the full dfms trajectory →

What is textshaping?

Rewrote its shaping engine for bidirectional text, then spent a year fixing what that broke.

textshaping is the text layout layer beneath R's modern graphics stack, feeding ragg, ggplot2 and marquee. Version 1.0.0 rewrote the shaping engine to honour the global direction of text, adding a direction argument that defaults to automatic detection, align settings that resolve against that direction, and ICU-based soft break locations that handle ideographic scripts properly. The five releases since have been consecutive bug fixes against that rewrite — bidi embedding arrangement, line positioning with mixed sizes, a weak hash in the shape cache, a signed integer overflow, and font fallback regressions.

Read the full textshaping trajectory →

dfms vs textshaping: editorial side-by-side

D
dfms
ANALYTICS
0.0

Peer-reviewed, feature-complete, and now able to hand its models to other forecasting engines.

◆ Current state

dfms estimates dynamic factor models in R, the workhorse for nowcasting economic activity from ragged, mixed-frequency data. The package worked through the Banbura and Modugno (2014) specification in stages — quarterly variables in 0.3.0, AR(1) idiosyncratic errors combined with mixed frequency in 0.4.0 — then declared 1.0.0 feature-complete on completing rOpenSci peer review, adding news decomposition to attribute forecast revisions to specific data releases. Version 1.0.1 adds convert(), which exports fitted models to dlm or KFAS state-space objects.

◆ Where it's heading

The package has finished the implementation programme it set out in its 2023 vignette and is now working on the edges: interoperability with other state-space packages rather than more estimation methods of its own. The convert() function is the clearest signal — instead of implementing smoothing and prediction intervals natively, it hands the model to packages that already have them. The rOpenSci move also puts it on a review-backed, documented footing that research users can cite.

◆ Prediction

Expect continued interoperability and diagnostic work rather than new estimators, since the maintainer has explicitly scoped the package as complete. Bug fixes against RcppArmadillo releases will likely remain the other recurring driver.

T
textshaping
ANALYTICS
0.0

Rewrote its shaping engine for bidirectional text, then spent a year fixing what that broke.

◆ Current state

textshaping is the text layout layer beneath R's modern graphics stack, feeding ragg, ggplot2 and marquee. Version 1.0.0 rewrote the shaping engine to honour the global direction of text, adding a direction argument that defaults to automatic detection, align settings that resolve against that direction, and ICU-based soft break locations that handle ideographic scripts properly. The five releases since have been consecutive bug fixes against that rewrite — bidi embedding arrangement, line positioning with mixed sizes, a weak hash in the shape cache, a signed integer overflow, and font fallback regressions.

◆ Where it's heading

The package has moved from Latin-first layout to script-agnostic layout in two rewrites, 0.4.0 and 1.0.0, and is now in the long correctness tail that follows. The bug reports arriving from ggplot2, ragg and marquee issue numbers show how it works in practice: textshaping bugs surface as rendering defects in the packages above it, which is why so many fixes here cite another package's issue tracker.

◆ Prediction

Expect continued fixes driven by downstream rendering reports rather than new layout features, as the 1.0.x series stabilises. The font fallback path has produced two of the recent bugs and is the most likely source of the next.

Alternatives to dfms and textshaping

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 dfms or textshaping.

See all dfms alternatives → · See all textshaping alternatives →

Recent activity from dfms and textshaping

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

  1. 1mo agodfmsconvert() exports models to dlm and KFAS state-space objects
  2. 5mo agotextshapingFixes reverting between font fallbacks
  3. 6mo agodfms1.0: rOpenSci review passed, news decomposition added
  4. 6mo agodfmsMixed-frequency estimation gains AR(1) idiosyncratic errors
  5. 9mo agodfmsC++ compatibility with RcppArmadillo 15.0.2
  6. 9mo agotextshapingGuards against freetype version mismatches with systemfonts
  7. 11mo agotextshapingFixes a signed integer overflow in the previous fix
  8. 11mo agotextshapingFixes bidi single-line shaping and a weak shape-cache hash
  9. 1y agodfmsFixes estimation with a single quarterly variable
  10. 1y agodfmsAdds mixed-frequency estimation via quarterly.vars
  11. 1y agotextshapingFixes hard line breaks across multiple embeddings
  12. 1y agotextshapingShaping engine rewritten to honour global text direction

Frequently asked questions

What is the difference between dfms and textshaping?

They serve adjacent needs but don't currently overlap on shipped themes. dfms and textshaping 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 dfms better than textshaping?

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

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

What are the best alternatives to textshaping?

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