mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
dbparser vs see
A side-by-side editorial comparison of dbparser and see — release velocity, themes, recent moves, and the top alternatives to consider.
dbparser vs see: at a glance
What is dbparser?
dbparser shed its database and CSV writers to become just a DrugBank parser.
dbparser reads DrugBank's XML release into R tibbles. Its 2.0 line removed the persistence features that defined 1.x, writing to a database or to CSV, in favour of returning a dvobject the caller handles. Releases since have been column-naming normalization and test updates against newer DrugBank versions.
What is see?
see grows wherever easystats adds a diagnostic, one plot method at a time.
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
dbparser vs see: editorial side-by-side
dbparser
0.0ANALYTICS
dbparser shed its database and CSV writers to become just a DrugBank parser.
◆ Current state
dbparser reads DrugBank's XML release into R tibbles. Its 2.0 line removed the persistence features that defined 1.x, writing to a database or to CSV, in favour of returning a dvobject the caller handles. Releases since have been column-naming normalization and test updates against newer DrugBank versions.
◆ Where it's heading
The arc is scope reduction. Version 1.2.0 was the high-water mark of ambition, adding collective parsers, an R6 redesign and progress bars; 2.0.1 then deprecated the database and CSV writers and the old public methods outright. What remains is a narrower package whose ongoing work is keeping column names consistent and tests current with DrugBank's schema.
◆ Prediction
The last two releases track DrugBank data versions rather than adding features, so the next is most likely another compatibility pass against a newer DrugBank release.
see
0.0ANALYTICS
see grows wherever easystats adds a diagnostic, one plot method at a time.
◆ Current state
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
◆ Where it's heading
Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.
◆ Prediction
Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.
Alternatives to dbparser and see
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 dbparser or see.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all dbparser alternatives → · See all see alternatives →
Recent activity from dbparser and see
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
- 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
- 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
- 11mo agoseesee 0.12.0 extends normality checks to psych factor models
- 1y agoseesee 0.11.0 scales theme elements with base_size
- 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
- 2y agodbparserDuplicate drugbank_id column fixed in drug targets
- 2y agodbparserTibble column names normalized to snake_case and drugbank_id
- 3y agodbparserPersistence layer dropped; parsers now return a dvobject ⚡
- 5y agodbparserCollective parsers added; parsers reimplemented as R6 classes
- 6y agodbparserMemory and performance gains across parsers
- 6y agodbparserFixes for SQL Server column sizes and dplyr compatibility
Frequently asked questions
What is the difference between dbparser and see?
They serve adjacent needs but don't currently overlap on shipped themes. dbparser and see 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 dbparser better than see?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbparser and see 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 dbparser?
Top dbparser alternatives in Analytics are ranked by recent ship velocity. Browse the "dbparser alternatives" section above for the current picks, or visit /alternatives/dbparser for the full list with editorial commentary on each.
What are the best alternatives to see?
Top see alternatives in Analytics are ranked by recent ship velocity. Browse the "see alternatives" section above for the current picks, or visit /alternatives/see-r for the full list with editorial commentary on each.