← Back to home
Comparison · Analytics

hoardr vs tern

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

Shared themes:r-package

hoardr vs tern: at a glance

Featurehoardrtern
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescaching, r-package, ropensci, infrastructureclinical-trials, tables, r-package, pharmaverse
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 tern?

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

tern builds the clinical-trial tables, listings, and graphs layer on top of rtables — occurrence counts, survival summaries, ANCOVA, incidence rates, subgroup and biomarker tabulations. The visible work across the window is a systematic refactor: dozens of analysis functions rewritten to drop make_afun() and adopt a common analysis-function style driven by rtables' additional_fun_params. Feature additions ride along with it.

Read the full tern trajectory →

hoardr vs tern: 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.

T
tern
ANALYTICS
0.0

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

◆ Current state

tern builds the clinical-trial tables, listings, and graphs layer on top of rtables — occurrence counts, survival summaries, ANCOVA, incidence rates, subgroup and biomarker tabulations. The visible work across the window is a systematic refactor: dozens of analysis functions rewritten to drop make_afun() and adopt a common analysis-function style driven by rtables' additional_fun_params. Feature additions ride along with it.

◆ Where it's heading

This is a multi-release architectural migration, not incremental polish. Each release converts another batch of functions, and the count is large — roughly two dozen in the most recent entry alone, after a comparable batch the release before. Alongside it, the denom parameter is being threaded through counting functions and g_lineplot is accumulating layout control, both patterns of standardising arguments that previously varied per function.

◆ Prediction

The refactor should continue until the make_afun() dependency is gone entirely, with the remaining tabulate_* and biomarker functions the likely next batch; the entries give no date for completion.

Alternatives to hoardr and tern

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 tern.

See all hoardr alternatives → · See all tern alternatives →

Recent activity from hoardr and tern

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

  1. 1y agoternTwo dozen more analysis functions drop make_afun()
  2. 1y agohoardrPaths use forward slashes on every platform
  3. 1y agoterndenom threading, custom statistics, and compare_vars merged in
  4. 1y agoternRisk-difference columns for subgroup tables
  5. 2y agoterng_lineplot gains faceting and axis controls
  6. 2y agohoardrTest-only patch for a CRAN failure
  7. 3y agohoardrPatch release for maintainer handover
  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 tern?

Both compete on the same themes — r-package — within Analytics. hoardr and tern 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 tern?

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

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