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Comparison · Analytics
ROOT vs distributions3
A side-by-side editorial comparison of ROOT and distributions3 — release velocity, themes, recent moves, and the top alternatives to consider.
ROOT vs distributions3: at a glance
What is ROOT?
ROOT is shipping the pieces of its long-promised v7 inside the v6 release line
ROOT maintains an unusual number of parallel branches — patches for 6.26, 6.28, 6.30, 6.32, 6.36 and 6.38 all landed within weeks of each other in June 2026 — because CERN experiments pin to versions for years at a time. The 6.40 LTS released in May is where the actual work is: an opt-out from automatic object registration, experimental multithreaded histograms, a new RFile interface, an libcurl-based HTTP I/O layer with S3 support, and a rebuilt ML data loader. June's patch wave is the routine consequence, closing out the 6.26 and 6.38 series while fixing the first regressions in 6.40.
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.
ROOT vs distributions3: editorial side-by-side
ROOT
0.0ANALYTICS
ROOT is shipping the pieces of its long-promised v7 inside the v6 release line
◆ Current state
ROOT maintains an unusual number of parallel branches — patches for 6.26, 6.28, 6.30, 6.32, 6.36 and 6.38 all landed within weeks of each other in June 2026 — because CERN experiments pin to versions for years at a time. The 6.40 LTS released in May is where the actual work is: an opt-out from automatic object registration, experimental multithreaded histograms, a new RFile interface, an libcurl-based HTTP I/O layer with S3 support, and a rebuilt ML data loader. June's patch wave is the routine consequence, closing out the 6.26 and 6.38 series while fixing the first regressions in 6.40.
◆ Where it's heading
The ROOT 7 redesign is arriving piecemeal under ROOT::Experimental rather than as a version bump: RNTuple replacing TTree, RDataFrame replacing TTree::Draw, RFile replacing TFile, and now the ability to switch off the global-directory ownership model that has defined ROOT's ergonomics for decades. The team is easing migration with documentation rather than deprecation — 6.40 ships a TTree::Draw-to-RDataFrame translation guide instead of a removal notice. Build weight is being cut in the same pass, with bundled builtin packages reduced roughly fourfold in favour of system libraries.
◆ Prediction
Expect further 6.40.x patches through the year as experiments migrate onto the LTS, concentrated in RNTuple and the new histogram paths where the code is youngest. The experimental namespace is the thing to watch: features that stabilize there are the clearest available signal of what a ROOT 7 would actually contain.
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.
Alternatives to ROOT and distributions3
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 ROOT or distributions3.
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 ROOT alternatives → · See all distributions3 alternatives →
Recent activity from ROOT and distributions3
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8h agodistributions3Empirical distributions, plus score and hessian generics ⚡
- 29d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
- 2mo agoROOTROOT 6.32.24 patches the 6.32 maintenance branch
- 2mo agoROOTROOT 6.30.12 patches the 6.30 maintenance branch
- 2mo agoROOTROOT 6.28.16 patches the 6.28 maintenance branch
- 2mo agoROOTROOT 6.38.06 closes the 6.38 series, adds Python 3.15 support
- 2mo agoROOTROOT 6.40.02 fixes RNTuple model extension and SOFIE padding
- 2mo agoROOTROOT 6.26.20 is the final patch for the 6.26 series
- 10mo agodistributions3ggplot2 compatibility for the plotting functions
- 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
- 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 ROOT and distributions3?
They serve adjacent needs but don't currently overlap on shipped themes. 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 ROOT better than distributions3?
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 ROOT?
Top ROOT alternatives in Analytics are ranked by recent ship velocity. Browse the "ROOT alternatives" section above for the current picks, or visit /alternatives/cern-root for the full list with editorial commentary on each.
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.