← Back to home
Comparison · Analytics

r-ledger vs modeltime.resample

A side-by-side editorial comparison of r-ledger and modeltime.resample — release velocity, themes, recent moves, and the top alternatives to consider.

r-ledger vs modeltime.resample: at a glance

Featurer-ledgermodeltime.resample
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesplain-text-accounting, r-package, beancount, hledgertime series, cross-validation, tidymodels, compatibility maintenance
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is r-ledger?

ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.

An R package that imports plain-text accounting files — ledger, hledger and beancount — into data frames. Releases are sparse and driven almost entirely by changes in the external command-line tools it shells out to: date format shifts, decimal mark handling, binaries being removed from upstream projects. The last two releases show more activity than the several years preceding them.

Read the full r-ledger trajectory →

What is modeltime.resample?

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

Read the full modeltime.resample trajectory →

r-ledger vs modeltime.resample: editorial side-by-side

R
r-ledger
ANALYTICS
0.0

ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.

◆ Current state

An R package that imports plain-text accounting files — ledger, hledger and beancount — into data frames. Releases are sparse and driven almost entirely by changes in the external command-line tools it shells out to: date format shifts, decimal mark handling, binaries being removed from upstream projects. The last two releases show more activity than the several years preceding them.

◆ Where it's heading

The package's job is absorbing churn in an ecosystem it does not control, and the recent releases show that ecosystem fragmenting and then being backfilled. bean-report disappeared from beancount in 2020 and its toolchains were finally deprecated in v2.0.13; v2.1.1 responds to the arrival of rustledger by adding rledger and bean-query as explicit toolchain choices and making the beancount path fall back to rledger when bean-query is absent. The other steady thread is column parity — code, id and comment columns arriving one at a time across the three register functions, so that whichever toolchain a user has produces comparable output.

◆ Prediction

Expect the remaining deprecated toolchains to be removed outright, and further column-parity work so the rledger path returns the same fields as the established ones.

M0.0

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

◆ Current state

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

◆ Where it's heading

Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.

◆ Prediction

Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.

Alternatives to r-ledger and modeltime.resample

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 r-ledger or modeltime.resample.

See all r-ledger alternatives → · See all modeltime.resample alternatives →

Recent activity from r-ledger and modeltime.resample

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

  1. 2mo agor-ledgerrustledger supported as a beancount toolchain, with automatic fallback
  2. 4mo agor-ledgerbean-report toolchains deprecated; transaction code column imported
  3. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  4. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  5. 2y agor-ledgerTransaction id column for beancount and hledger; date coercion aligned
  6. 3y agomodeltime.resampleFixes workflows in regression mode
  7. 4y agomodeltime.resampleUpdates for hardhat 1.0.0
  8. 4y agor-ledgerrio moved from Imports to Suggests
  9. 6y agor-ledgerhledger date import fixed for newer hledger versions
  10. 6y agor-ledgerComma decimal marks and commodity prefixes parse correctly

Frequently asked questions

What is the difference between r-ledger and modeltime.resample?

They serve adjacent needs but don't currently overlap on shipped themes. r-ledger and modeltime.resample 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 r-ledger better than modeltime.resample?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. r-ledger and modeltime.resample 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 r-ledger?

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

What are the best alternatives to modeltime.resample?

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