ANALYTICS
Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.
Alternatives · analytics tools
mapsf alternatives
The best mapsf alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to mapsf? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, mapsf 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 mapsf
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to mapsf
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
Posit's Spark Connect bridge keeps adding backends — and now runs tidymodels tuning on the cluster.
ANALYTICS
Reference-based multiple imputation for trials, now shipping without Bayesian support by default.
ANALYTICS
A tabular deep-learning model in R that keeps widening what counts as a tabular task.
ANALYTICS
osmapiR is the rare API client that tracks its server's wiki revision numbers in the changelog.
ANALYTICS
ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.
ANALYTICS
forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.
ANALYTICS
pharmaverseadam is the pharmaverse's test-data mirror, and it now covers neurology.
ANALYTICS
pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.
ANALYTICS
gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.
ANALYTICS
Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.
ANALYTICS
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
mapsf 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.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| mapsf (baseline) | 0.0 | 0 | cartographythematic-mapsspatial | 1.0.0 introduces theming and deprecates eight style arguments |
| refsplitr | 5.0 | 0 | bibliometricsauthor-disambiguationgeoreferencing | — |
| pysparklyr | 3.8 | 1 | sparkdatabrickssnowflake | tune_grid_spark() runs tidymodels tuning on Spark Connect |
| rbmi | 2.5 | 0 | clinical-trialsmissing-datamultiple-imputation | rstan demoted to Suggests, Bayesian imputation now opt-in |
| tabnet | 2.5 | 0 | tabular-deep-learningtorchtidymodels | Hierarchical multi-label classification via data.tree |
| osmapiR | 0.0 | 0 | openstreetmapapi-clientr-language | Complete OSM API coverage arrives in one release |
| ymlthis | 0.0 | 0 | r-markdownyamlretirement | ymlthis retired; Quarto covers the need |
| forestly | 0.0 | 0 | clinical-safetyadverse-eventsdata-visualization | Static RTF forest plots join the interactive output |
| pharmaverseadam | 0.0 | 0 | pharmaverseclinical-dataadam | — |
| pkglite | 0.0 | 0 | r-packagespharma-submissionspackaging | — |
| gMCPLite | 0.0 | 0 | multiple-comparisonsclinical-trialsr-language | — |
| typst-gather | 0.0 | 0 | typsthermetic-buildsrust | analyze subcommand reports the import graph as JSON |
| naijR | 0.0 | 0 | nigeriageospatialreference-data | — |
The 12 best mapsf alternatives, in depth
1. refsplitr · velocity 5.0
Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where mapsf leans on cartography, thematic maps and spatial, refsplitr focuses on bibliometrics, author disambiguation and georeferencing.
refsplitr and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. pysparklyr · velocity 3.8
Posit's Spark Connect bridge keeps adding backends — and now runs tidymodels tuning on the cluster.
Over the last 30 days pysparklyr shipped 1 meaningful update vs mapsf's 0, most recently “tune_grid_spark() runs tidymodels tuning on Spark Connect”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where mapsf leans on cartography, thematic maps and spatial, pysparklyr focuses on spark, databricks and snowflake.
Over the last 30 days pysparklyr has been shipping faster than mapsf — a point in its favour if release momentum matters to you.
Full pysparklyr trajectory → · Compare mapsf vs pysparklyr →
3. rbmi · velocity 2.5
Reference-based multiple imputation for trials, now shipping without Bayesian support by default.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “rstan demoted to Suggests, Bayesian imputation now opt-in”.
Where mapsf leans on cartography, thematic maps and spatial, rbmi focuses on clinical trials, missing data and multiple imputation.
rbmi and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. tabnet · velocity 2.5
A tabular deep-learning model in R that keeps widening what counts as a tabular task.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Hierarchical multi-label classification via data.tree”.
Where mapsf leans on cartography, thematic maps and spatial, tabnet focuses on tabular deep learning, torch and tidymodels.
tabnet and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. osmapiR · velocity 0.0
OsmapiR is the rare API client that tracks its server's wiki revision numbers in the changelog.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Complete OSM API coverage arrives in one release”.
Where mapsf leans on cartography, thematic maps and spatial, osmapiR focuses on openstreetmap, api client and r language.
osmapiR and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. ymlthis · velocity 0.0
Ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “ymlthis retired; Quarto covers the need”.
Where mapsf leans on cartography, thematic maps and spatial, ymlthis focuses on r markdown, yaml and retirement.
ymlthis and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. forestly · velocity 0.0
Forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Static RTF forest plots join the interactive output”.
Where mapsf leans on cartography, thematic maps and spatial, forestly focuses on clinical safety, adverse events and data visualization.
forestly and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. pharmaverseadam · velocity 0.0
Pharmaverseadam is the pharmaverse's test-data mirror, and it now covers neurology.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mapsf leans on cartography, thematic maps and spatial, pharmaverseadam focuses on pharmaverse, clinical data and adam.
pharmaverseadam and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full pharmaverseadam trajectory → · Compare mapsf vs pharmaverseadam →
9. pkglite · velocity 0.0
Pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mapsf leans on cartography, thematic maps and spatial, pkglite focuses on r packages, pharma submissions and packaging.
pkglite and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. gMCPLite · velocity 0.0
GMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mapsf leans on cartography, thematic maps and spatial, gMCPLite focuses on multiple comparisons, clinical trials and r language.
gMCPLite and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. typst-gather · velocity 0.0
Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “analyze subcommand reports the import graph as JSON”.
Where mapsf leans on cartography, thematic maps and spatial, typst-gather focuses on typst, hermetic builds and rust.
typst-gather and mapsf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full typst-gather trajectory → · Compare mapsf vs typst-gather →
12. naijR · velocity 0.0
NaijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mapsf leans on cartography, thematic maps and spatial, naijR focuses on nigeria, geospatial and reference data.
naijR and mapsf 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 mapsf?
The top mapsf alternatives we currently track in analytics tools are refsplitr, pysparklyr, rbmi, tabnet, osmapiR, ranked by recent ship velocity.
How is this list of mapsf alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare mapsf directly with one of these alternatives?
Yes — every card has a "Compare with mapsf" link to a side-by-side /compare page.