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Comparison · Analytics
distributions3 vs quantmod
A side-by-side editorial comparison of distributions3 and quantmod — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
distributions3 vs quantmod: at a glance
What is distributions3?
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.
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.
distributions3 vs quantmod: editorial side-by-side
distributions3
6.3ANALYTICS
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
◆ Current state
An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.
◆ Where it's heading
Growth used to arrive as new distribution families contributed from outside - the extreme-value set, Erlang, later the Poisson binomial. This release changes the axis: alongside two new distributions it adds an inference layer (score, hessian) and a forecast-evaluation one (crps() methods against scoringRules), which are capabilities about distributions rather than more of them. Dependency weight is being cut at the same time, with ggplot2 demoted to Suggests and glue replaced by base R sprintf().
◆ Prediction
With numeric fallbacks and the derivative generics in place, expect analytic score() and hessian() methods to be filled in across more of the distribution catalogue. The constructor-default change is the likeliest source of follow-up fixes, since calls like Poisson() now return a length-zero distribution where they previously errored.
quantmod
0.0ANALYTICS
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.
Alternatives to distributions3 and quantmod
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 distributions3 or quantmod.
Lightdash
Lightdash keeps handing authoring to outside agents and keeping the governed layer for itself.
Delta Lake
A 4.4.0 tag appears, but the feed carries only its release plumbing
Basedash
Basedash keeps pushing its data out of the workspace — now to people without accounts
RStudio
RStudio ships through release branches, and the notes are commit messages
dbt Core
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
See all distributions3 alternatives → · See all quantmod alternatives →
Recent activity from distributions3 and quantmod
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6h agodistributions3Empirical distributions, plus score and hessian generics ⚡
- 29d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
- 1mo agoquantmodFRED API key support after the source requires registration
- 10mo agodistributions3ggplot2 compatibility for the plotting functions
- 1y agoquantmodFRED URL fix and documentation cleanup
- 1y agoquantmodYahoo batch limit halved, ambiguous column detection fixed
- 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
- 2y agoquantmodChart and option-chain fixes
- 2y agoquantmodYahoo intraday endpoint and GDPR-aware quote failures
- 3y agoquantmodOANDA URL fix
- 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
- 4y agodistributions3Extreme-value family, Erlang, and a plotting generic
Frequently asked questions
What is the difference between distributions3 and quantmod?
Both compete on the same themes — r-package — within Analytics. distributions3 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 distributions3 better than quantmod?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributions3 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 distributions3?
Top distributions3 alternatives in Analytics are ranked by recent ship velocity. Browse the "distributions3 alternatives" section above for the current picks, or visit /alternatives/distributions3-r for the full list with editorial commentary on each.
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.