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bbotk vs pins

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

bbotk vs pins: at a glance

Featurebbotkpins
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesblack-box optimization, mlr3, async execution, api deprecationdata-versioning, cloud-storage, databricks, serialization
Last editorial update56m ago1h ago
WebsiteVisit →Visit →

What is bbotk?

bbotk is generalizing from an optimizer toolkit into an evaluation framework.

bbotk is the black-box optimization backend behind mlr3 tuning: search spaces, terminators, archives, and an async layer built on rush. Recent releases pair steady async-API buildout with removal of the deprecated arguments that preceded it. The 1.9.0 release introduced EvalInstance as a base class for OptimInstance, separating evaluating an objective from optimizing one.

Read the full bbotk trajectory →

What is pins?

pins keeps adding a storage backend per release while retiring its original API

pins publishes and versions R objects to a board, where a board is whatever storage you have. The recent releases read as a steady list of new boards - Google Cloud Storage, Google Drive, Databricks Volumes, Connect vanity URLs - alongside serialization changes that track which formats R users actually want: parquet via nanoparquet, and qs replaced by qs2.

Read the full pins trajectory →

bbotk vs pins: editorial side-by-side

B
bbotk
ANALYTICS
2.5

bbotk is generalizing from an optimizer toolkit into an evaluation framework.

◆ Current state

bbotk is the black-box optimization backend behind mlr3 tuning: search spaces, terminators, archives, and an async layer built on rush. Recent releases pair steady async-API buildout with removal of the deprecated arguments that preceded it. The 1.9.0 release introduced EvalInstance as a base class for OptimInstance, separating evaluating an objective from optimizing one.

◆ Where it's heading

Two threads run through the visible history. The first is async optimization maturing: ArchiveAsync gained a full push/finish/fail vocabulary over rush tasks in 1.11.0, and 1.12.0 deleted the deprecated extra arguments it replaced. The second is dependency consolidation, with custom C hypervolume code handed to moocore and rush pinned to 1.0.0, trimming maintenance surface as the async path becomes the default.

◆ Prediction

The deprecation removals in 1.12.0 suggest the async archive API is now treated as settled; the next releases most likely build on EvalInstance rather than continuing to churn ArchiveAsync.

P
pins
ANALYTICS
0.0

pins keeps adding a storage backend per release while retiring its original API

◆ Current state

pins publishes and versions R objects to a board, where a board is whatever storage you have. The recent releases read as a steady list of new boards - Google Cloud Storage, Google Drive, Databricks Volumes, Connect vanity URLs - alongside serialization changes that track which formats R users actually want: parquet via nanoparquet, and qs replaced by qs2.

◆ Where it's heading

Two long-running processes, neither dramatic. Backend coverage expands toward wherever teams already store artifacts, which increasingly means Databricks and cloud object storage rather than a shared drive. Meanwhile the legacy pin() API from before the board model has been in a staged deprecation across at least three releases, escalated each time rather than removed.

◆ Prediction

Expect another board or two as storage platforms are requested, and the legacy pin() functions to finally become errors; the format list will keep tracking whichever serializer the R community settles on.

Alternatives to bbotk and pins

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 bbotk or pins.

See all bbotk alternatives → · See all pins alternatives →

Recent activity from bbotk and pins

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

  1. 24d agobbotkDeprecated extra argument removed from ArchiveAsync methods
  2. 1mo agobbotkArchiveAsync gains full push/finish/fail task API over rush
  3. 2mo agobbotkDominance and hypervolume computation moved to moocore
  4. 4mo agobbotkmlr_test_functions adds standard optimization benchmarks
  5. 5mo agopinsqs2 replaces qs; pins can be written in multiple formats
  6. 5mo agobbotkEvalInstance base class separates evaluation from optimization
  7. 8mo agobbotkFix: conditions now work with OptimizerLocalSearch
  8. 1y agopinsPin previews on Connect; Databricks host normalization
  9. 1y agopinsAdds board_databricks() and switches parquet to nanoparquet
  10. 2y agopinspin_write() arguments must be named; Connect caches removed
  11. 2y agopinsMessage clarity and Google Drive dribble handling
  12. 2y agopinsboard_gdrive() added; cache location configurable

Frequently asked questions

What is the difference between bbotk and pins?

They serve adjacent needs but don't currently overlap on shipped themes. bbotk is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 bbotk better than pins?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bbotk is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 bbotk?

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

What are the best alternatives to pins?

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