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hoardr vs posteriordb

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

hoardr vs posteriordb: at a glance

Featurehoardrposteriordb
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescaching, r-package, ropensci, infrastructurebayesian, benchmarking, reference-data, stan
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is hoardr?

A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.

hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.

Read the full hoardr trajectory →

What is posteriordb?

A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.

posteriordb distributes Bayesian models with data and reference posterior draws so inference algorithms can be benchmarked against a common target. It reached 1.0.0 alongside a published paper, and ships both R and Python access. Recent work is about the metadata around the draws — licences, machine-readable dataset descriptors, and additional summary statistics.

Read the full posteriordb trajectory →

hoardr vs posteriordb: editorial side-by-side

H
hoardr
ANALYTICS
0.0

A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.

◆ Current state

hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.

◆ Where it's heading

This is infrastructure that has reached its final shape. Three of the last three releases were reactive: two responses to CRAN test-failure notifications, one to a maintainer handover. The single behavioural change in that stretch — forward slashes in paths on every operating system — is a consistency fix for downstream packages rather than a feature. Its release cadence is set by CRAN's checks, not by demand.

◆ Prediction

Expect the next release to be triggered by another CRAN check failure rather than by new functionality, matching every release since 2018.

P
posteriordb
ANALYTICS
0.0

A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.

◆ Current state

posteriordb distributes Bayesian models with data and reference posterior draws so inference algorithms can be benchmarked against a common target. It reached 1.0.0 alongside a published paper, and ships both R and Python access. Recent work is about the metadata around the draws — licences, machine-readable dataset descriptors, and additional summary statistics.

◆ Where it's heading

The database is maturing from a model collection into a citable benchmark asset: licence information per model, a Croissant metadata file for dataset discovery, and summary statistics like mean squared value and lag-1 autocorrelation that let users judge whether reference draws are good enough for their comparison. Earlier releases were about content and correctness; current ones are about making the content machine-readable and verifiable.

◆ Prediction

Further work should continue on draw-quality diagnostics and metadata rather than model count, since the last two releases both added ways to assess the reference draws instead of adding posteriors.

Alternatives to hoardr and posteriordb

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 hoardr or posteriordb.

See all hoardr alternatives → · See all posteriordb alternatives →

Recent activity from hoardr and posteriordb

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

  1. 1y agoposteriordb1.0.0: licences, Croissant metadata, and draw diagnostics
  2. 1y agohoardrPaths use forward slashes on every platform
  3. 2y agohoardrTest-only patch for a CRAN failure
  4. 2y agoposteriordbStan code updated to 2.26 syntax; posterior tags cleaned
  5. 3y agohoardrPatch release for maintainer handover
  6. 3y agoposteriordbNew posteriors and a corrected dogs model
  7. 5y agoposteriordbPython module gains GitHub-backed and env-var database paths
  8. 7y agohoardrFixes cache paths leaking between HoardClient instances
  9. 7y agohoardrFile-existence checks and full-path cache configuration
  10. 9y agohoardrCRAN disk-writing policy compliance

Frequently asked questions

What is the difference between hoardr and posteriordb?

They serve adjacent needs but don't currently overlap on shipped themes. hoardr and posteriordb 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 hoardr better than posteriordb?

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

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

What are the best alternatives to posteriordb?

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