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Comparison · Analytics

bayesplot vs Neo4j

A side-by-side editorial comparison of bayesplot and Neo4j — release velocity, themes, recent moves, and the top alternatives to consider.

bayesplot vs Neo4j: at a glance

FeaturebayesplotNeo4j
SectorAnalyticsAnalytics
Velocity score0.07.5
Sparks · 30d02
Top themesbayesian workflow, stan, posterior predictive checks, ggplot2 compatibilitygraph-database, graph-data-science, free-tier, access-control
Last editorial update54m ago16h ago
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What is bayesplot?

bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.

bayesplot supplies the plotting layer for Stan-adjacent Bayesian workflows: posterior predictive checks, MCMC diagnostics and LOO diagnostics. Releases through 2025 alternate between new plot families and keeping pace with ggplot2, which changed behavior twice in the visible window. Contributions increasingly arrive from outside the core Stan team.

Read the full bayesplot trajectory →

What is Neo4j?

Neo4j moves its full graph algorithm catalog onto the free tier and adds attribute-based access control.

Neo4j is pushing capability downward and outward at the same time. The complete Graph Data Science catalog — 65+ algorithms — now runs on AuraDB Free in isolated, unbilled sessions, while Business Critical and Virtual Dedicated Cloud tiers gain attribute-based access control with time-windowed permissions and IdP claim mapping. Around those, the Aura platform continues its monthly cadence: Cypher 25 picked up GROUP BY and a GQL cardinality function, quantized vector search reached general availability, and the Query editor gained persistent tabs.

Read the full Neo4j trajectory →

bayesplot vs Neo4j: editorial side-by-side

B
bayesplot
ANALYTICS
0.0

bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.

◆ Current state

bayesplot supplies the plotting layer for Stan-adjacent Bayesian workflows: posterior predictive checks, MCMC diagnostics and LOO diagnostics. Releases through 2025 alternate between new plot families and keeping pace with ggplot2, which changed behavior twice in the visible window. Contributions increasingly arrive from outside the core Stan team.

◆ Where it's heading

Two forces drive the release line: expanding what can be checked visually, and absorbing upstream ggplot2 churn. The 1.13-1.14 pair shows the first, adding LOO-PIT ECDF plots, quantile dot plots and discrete-data handling across the stat family, while 1.12 and 1.15 are largely spent on ggplot2 3.6 and 4.0 compatibility. The recurring new-contributor lists suggest maintenance load is being spread rather than concentrated.

◆ Prediction

Discrete-data support has rolled out plot family by plot family across three releases; the next release most likely continues that sweep and finishes the ggplot2 v4 adaptation.

N
Neo4j
ANALYTICS
7.5

Neo4j moves its full graph algorithm catalog onto the free tier and adds attribute-based access control.

◆ Current state

Neo4j is pushing capability downward and outward at the same time. The complete Graph Data Science catalog — 65+ algorithms — now runs on AuraDB Free in isolated, unbilled sessions, while Business Critical and Virtual Dedicated Cloud tiers gain attribute-based access control with time-windowed permissions and IdP claim mapping. Around those, the Aura platform continues its monthly cadence: Cypher 25 picked up GROUP BY and a GQL cardinality function, quantized vector search reached general availability, and the Query editor gained persistent tabs.

◆ Where it's heading

The shape here is a funnel. Free-tier users get the algorithm catalog and hosted MCP access with no billing and no setup, which lowers the cost of the first serious graph experiment to nothing; enterprise tiers get the governance controls that make an expansion defensible. Cypher is simultaneously being pulled toward the GQL standard and extended with new surfaces — auth rules, grouping clauses — so the query language is absorbing work that used to sit in configuration and driver code.

◆ Prediction

Expect ABAC to descend to Professional tiers and the Aura Graph Analytics free session limits to become the pressure point Neo4j uses to convert experiments into paid capacity. The unresolved question from these entries is whether MCP for Aura reaches Virtual Dedicated Cloud, which is listed as pending.

Alternatives to bayesplot and Neo4j

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 bayesplot or Neo4j.

See all bayesplot alternatives → · See all Neo4j alternatives →

Recent activity from bayesplot and Neo4j

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

  1. 22h agoNeo4jAura Graph Analytics is now available on AuraDB Free
  2. 1d agoNeo4jDynamic & Time-Based Access Control with ABAC, now in Neo4j Aura!
  3. 8d agoNeo4jQuery Tabs: A new way to work with your queries
  4. 9d agoNeo4jCypher 25 gains GROUP BY; quantized vector search hits GA
  5. 13d agoNeo4jEnterprise Studio: dashboard parameters and concurrent editing
  6. 22d agoNeo4jMCP for Aura Now Available
  7. 8mo agobayesplotmcmc_scatter gains shape; pre-ggplot2 v4 theme behavior restored
  8. 11mo agobayesplotQuantile dot plots and broader discrete-data support
  9. 1y agobayesplotppc_loo_pit_ecdf() added; KM overlays gain truncation control
  10. 1y agobayesplotggplot2 3.6 compatibility and a run of plot-data fixes
  11. 2y agobayesplotPatch caps ppc_pit_ecdf evaluation points at 1000
  12. 2y agobayesplotbins/breaks across histograms; all LOO plots accept psis_object

Frequently asked questions

What is the difference between bayesplot and Neo4j?

They serve adjacent needs but don't currently overlap on shipped themes. Neo4j is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 bayesplot better than Neo4j?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Neo4j is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 bayesplot?

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

What are the best alternatives to Neo4j?

Top Neo4j alternatives in Analytics are ranked by recent ship velocity. Browse the "Neo4j alternatives" section above for the current picks, or visit /alternatives/neo4j for the full list with editorial commentary on each.