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Comparison · Infra & APIs

ggdist vs NetBox

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

ggdist vs NetBox: at a glance

FeatureggdistNetBox
SectorInfra & APIsInfra & APIs
Velocity score0.06.3
Sparks · 30d01
Top themesdata-visualization, uncertainty, bayesian-statistics, ggplot2dcim, cooling, liquid-cooling, breaking-changes
Last editorial update20h ago6h ago
WebsiteVisit →Visit →

What is ggdist?

The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.

ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.

Read the full ggdist trajectory →

What is NetBox?

NetBox adds a cooling data model — the first new infrastructure domain since power

After a 4.6 patch cycle spent almost entirely on GraphQL query cost and permission correctness, NetBox has opened its 4.7 line with a beta that is the opposite kind of release. It introduces cooling infrastructure as a first-class modeling domain, migrates nested group models off django-mptt onto a PostgreSQL ltree column, replaces the Service protocol/ports fields with a unified port_mappings structure, and raises the floor to PostgreSQL 15 and Redis 6. The breaking-change list runs longer than most NetBox releases run in total.

Read the full NetBox trajectory →

ggdist vs NetBox: editorial side-by-side

G
ggdist
INFRA · APIS
0.0

The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.

◆ Current state

ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.

◆ Where it's heading

Two threads run in parallel and keep converging. One is statistical: pluggable density estimators arrived first, then became the default, then gained weights and quantile histograms. The other is compositional: sub-geometries acquired their own guides, then their own scales, so a slab's thickness axis is now a first-class annotated dimension. Cadence has stretched from twice-yearly to roughly annual, with the recent work tightening existing surface rather than opening new.

◆ Prediction

Subguides gained subscales a release later, so the remaining asymmetry is in the sub-geometry system rather than the statistics; expect the next release to continue that fill-in work.

N
NetBox
INFRA · APIS
6.3

NetBox adds a cooling data model — the first new infrastructure domain since power

◆ Current state

After a 4.6 patch cycle spent almost entirely on GraphQL query cost and permission correctness, NetBox has opened its 4.7 line with a beta that is the opposite kind of release. It introduces cooling infrastructure as a first-class modeling domain, migrates nested group models off django-mptt onto a PostgreSQL ltree column, replaces the Service protocol/ports fields with a unified port_mappings structure, and raises the floor to PostgreSQL 15 and Redis 6. The breaking-change list runs longer than most NetBox releases run in total.

◆ Where it's heading

The cooling model is deliberately shaped as a mirror of the existing power model — CoolingSource and CoolingFeed parallel PowerPanel and PowerFeed, CoolingIntake and CoolingOutflow parallel PowerPort and PowerOutlet, with CDUs and manifolds modeled as ordinary devices carrying those components. That symmetry says NetBox intends liquid cooling to be documented with the same rigor as power distribution, not bolted on as attributes. Underneath it, the ltree migration and the deferred search-index rebuild continue the performance thread of 4.6 by other means: instead of trimming queries inside the ORM, 4.7 is changing what the ORM sits on.

◆ Prediction

Expect at least one more 4.7 beta or release candidate before general availability, with the deprecated NestedGroupModel base class and the retained protocol/ports API fields the most likely sources of follow-up fixes as plugins migrate.

Alternatives to ggdist and NetBox

Other Infra & APIs 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 ggdist or NetBox.

See all ggdist alternatives → · See all NetBox alternatives →

Recent activity from ggdist and NetBox

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

  1. 1d agoNetBoxNetBox 4.7 beta models cooling plant the way it models power
  2. 7d agoNetBoxGraphQL N+1 fixes and permission corrections in 4.6.8
  3. 15d agoNetBox4.6.8 release candidate refreshes translation strings
  4. 19d agoNetBox4.6.7 trims GraphQL and scope-rebuild query overhead
  5. 21d agoNetBoxCluster-scoped VLANs, tag "any" lookup, audit-trail hardening
  6. 1mo agoNetBoxMDC connectors, script-module REST updates, Korean support
  7. 1y agoggdistPer-geometry thickness subscales and settable defaults
  8. 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator
  9. 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
  10. 3y agoggdistBounded density becomes the default; existing charts change
  11. 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
  12. 4y agoggdistComputed variables shared across sub-geometries

Frequently asked questions

What is the difference between ggdist and NetBox?

They serve adjacent needs but don't currently overlap on shipped themes. NetBox 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 ggdist better than NetBox?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. NetBox 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ggdist?

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

What are the best alternatives to NetBox?

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