← Back to analytics tools
Alternatives · analytics tools

posteriordb alternatives

The best posteriordb alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 14, 2026

Looking for the best alternatives to posteriordb? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, posteriordb shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About 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.

Velocity 0.0 · Last update 59m ago

Read the full posteriordb trajectory →

Top 12 alternatives to posteriordb

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

Browse all analytics tools products →

posteriordb vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
posteriordb (baseline)0.00bayesianbenchmarkingreference-data
tidytlg0.00clinical-trialstablesr-package
Tplyr0.00clinical-trialstablestraceability1.0.0 introduces the traceability metadata framework
rlistings0.00clinical-trialslistingspagination
hoardr0.00cachingr-packageropensci
gigs0.00growth-standardsneonatal-healthr-packageConversion API rewritten around data frames and classify_growth()
riem0.00weather-dataapi-clientr-package
datasetjson0.00clinical-datacdiscjsonDataset-JSON 1.1.0 support with a redesigned object model
ijtiff0.00imagingtiffr-package
tern0.00clinical-trialstablesr-packageTwo dozen more analysis functions drop make_afun()
tinkr0.00markdownxmlr-packageFirst release: the extensible yarn R6 class
excluder0.00survey-datadata-cleaningr-package
geotargets0.00geospatialpipelinesr-packagestars backend and dynamically branched raster tiles

The 12 best posteriordb alternatives, in depth

1. tidytlg · velocity 0.0

A tables-listings-graphs package that reached CRAN and then went quiet.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where posteriordb leans on bayesian, benchmarking and reference data, tidytlg focuses on clinical trials, tables and r package.

tidytlg and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

2. Tplyr · velocity 0.0

Tplyr made clinical summary tables explain where every number came from.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 introduces the traceability metadata framework”.

Where posteriordb leans on bayesian, benchmarking and reference data, Tplyr focuses on clinical trials, tables and traceability.

Tplyr and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. rlistings · velocity 0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where posteriordb leans on bayesian, benchmarking and reference data, rlistings focuses on clinical trials, listings and pagination.

rlistings and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. hoardr · velocity 0.0

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

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where posteriordb leans on bayesian, benchmarking and reference data, hoardr focuses on caching, r package and ropensci.

hoardr and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. gigs · velocity 0.0

Gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Conversion API rewritten around data frames and classify_growth()”.

Where posteriordb leans on bayesian, benchmarking and reference data, gigs focuses on growth standards, neonatal health and r package.

gigs and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. riem · velocity 0.0

A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where posteriordb leans on bayesian, benchmarking and reference data, riem focuses on weather data, api client and r package.

riem and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. datasetjson · velocity 0.0

Datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Dataset-JSON 1.1.0 support with a redesigned object model”.

Where posteriordb leans on bayesian, benchmarking and reference data, datasetjson focuses on clinical data, cdisc and json.

datasetjson and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. ijtiff · velocity 0.0

A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where posteriordb leans on bayesian, benchmarking and reference data, ijtiff focuses on imaging, tiff and r package.

ijtiff and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. tern · velocity 0.0

Tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Two dozen more analysis functions drop make_afun()”.

Where posteriordb leans on bayesian, benchmarking and reference data, tern focuses on clinical trials, tables and r package.

tern and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. tinkr · velocity 0.0

Markdown round-tripping through XML, where every release is another thing it learned not to mangle.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “First release: the extensible yarn R6 class”.

Where posteriordb leans on bayesian, benchmarking and reference data, tinkr focuses on markdown, xml and r package.

tinkr and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. excluder · velocity 0.0

A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where posteriordb leans on bayesian, benchmarking and reference data, excluder focuses on survey data, data cleaning and r package.

excluder and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. geotargets · velocity 0.0

Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “stars backend and dynamically branched raster tiles”.

Where posteriordb leans on bayesian, benchmarking and reference data, geotargets focuses on geospatial, pipelines and r package.

geotargets and posteriordb have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to posteriordb?

The top posteriordb alternatives we currently track in analytics tools are tidytlg, Tplyr, rlistings, hoardr, gigs, ranked by recent ship velocity.

How is this list of posteriordb alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare posteriordb directly with one of these alternatives?

Yes — every card has a "Compare with posteriordb" link to a side-by-side /compare page.