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quantmod vs rempsyc

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

Shared themes:r-package

quantmod vs rempsyc: at a glance

Featurequantmodrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesquantitative-finance, market-data, r-package, api-maintenanceapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update5h ago43m ago
WebsiteVisit →Visit →

What is quantmod?

The R finance workhorse spends its releases absorbing what data vendors break

quantmod pulls market data into R and charts it, and has been in maintenance for years. The last six releases are dominated by upstream breakage: Yahoo Finance crumb authentication, a batch-size ceiling dropping from 199 to 99 symbols, GDPR consent failures, repeated URL changes at FRED and OANDA. Genuine additions are rare and small — a ClOp() return function, an intraday endpoint, better ambiguous-column detection.

Read the full quantmod trajectory →

What is rempsyc?

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

Read the full rempsyc trajectory →

quantmod vs rempsyc: editorial side-by-side

Q
quantmod
ANALYTICS
0.0

The R finance workhorse spends its releases absorbing what data vendors break

◆ Current state

quantmod pulls market data into R and charts it, and has been in maintenance for years. The last six releases are dominated by upstream breakage: Yahoo Finance crumb authentication, a batch-size ceiling dropping from 199 to 99 symbols, GDPR consent failures, repeated URL changes at FRED and OANDA. Genuine additions are rare and small — a ClOp() return function, an intraday endpoint, better ambiguous-column detection.

◆ Where it's heading

The pattern is a package whose cadence is set by other people's API changes rather than its own roadmap. Releases arrive when a data source breaks, and the changelog reads as a list of reports from users who hit the failure first. The FRED API key requirement in the latest release is the same story again — a free source adding registration, and quantmod adding an argument and a nudge to comply. Deprecation work on as.zoo.data.frame has been running since at least 0.4.27 without completing.

◆ Prediction

Nothing in these entries points to a planned feature; the next release will most likely be triggered by whichever vendor endpoint changes first.

R
rempsyc
ANALYTICS
0.0

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

◆ Current state

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

◆ Where it's heading

Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.

◆ Prediction

The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.

Alternatives to quantmod and rempsyc

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 quantmod or rempsyc.

See all quantmod alternatives → · See all rempsyc alternatives →

Recent activity from quantmod and rempsyc

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

  1. 1mo agoquantmodFRED API key support after the source requires registration
  2. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  3. 1y agoquantmodFRED URL fix and documentation cleanup
  4. 1y agoquantmodYahoo batch limit halved, ambiguous column detection fixed
  5. 1y agorempsycExcel correlation export delegated to the correlation package
  6. 2y agorempsycTable spacing control and a fix for name collision with afex
  7. 2y agoquantmodChart and option-chain fixes
  8. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  9. 2y agorempsycLegend and standardization-check fixes
  10. 2y agoquantmodYahoo intraday endpoint and GDPR-aware quote failures
  11. 2y agorempsycnice_table starts coercing model objects automatically
  12. 3y agoquantmodOANDA URL fix

Frequently asked questions

What is the difference between quantmod and rempsyc?

Both compete on the same themes — r-package — within Analytics. quantmod and rempsyc 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 quantmod better than rempsyc?

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

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

What are the best alternatives to rempsyc?

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