The Manhattan-plot package for GWAS results, finished and dormant since 2017.
ggmagnify alternatives
The best ggmagnify alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to ggmagnify? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ggmagnify 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 ggmagnify
A single-purpose ggplot2 inset tool, refining the same three arguments.
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
Velocity 0.0 · Last update 59m ago
Top 12 alternatives to ggmagnify
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
A fish diet package whose release history is really a record of surviving rfishbase.
Steady, unglamorous upkeep on a niche phylogenetic adaptation index.
ggmagnify 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 |
|---|---|---|---|---|
| ggmagnify (baseline) | 0.0 | 0 | ggplot2data-visualizationinset-plots | — |
| qqman | 0.0 | 0 | gwasgenomicsmanhattan-plot | — |
| constants | 0.0 | 0 | physical-constantscodataunits | constants 1.0.0 |
| austraits | 0.0 | 0 | plant-traitsopen-dataecology | — |
| ggdemetra | 0.0 | 0 | seasonal-adjustmentggplot2time-series | — |
| fossilsim | 0.0 | 0 | phylogeneticssimulationtrait-evolution | Trait simulation arrives: Mk, BM and OU models |
| tern.rbmi | 0.0 | 0 | pharmaversemultiple-imputationcran-maintenance | — |
| tern.mmrm | 0.0 | 0 | pharmaversemmrmtabulation | — |
| symengine | 0.0 | 0 | symbolic-computationcascpp-core | — |
| gtfstools | 0.0 | 0 | gtfspublic-transportgeospatial | Accepts GTFS objects from gtfsio and tidytransit |
| quantities | 0.0 | 0 | unitsmeasurement-uncertaintyerror-propagation | — |
| dietr | 0.0 | 0 | fish-ecologydiet-analysisfishbase | — |
| windex | 0.0 | 0 | phylogeneticscomparative-methodsevolutionary-biology | — |
The 12 best ggmagnify alternatives, in depth
1. qqman · velocity 0.0
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, qqman focuses on gwas, genomics and manhattan plot.
qqman and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. constants · velocity 0.0
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “constants 1.0.0”.
Where ggmagnify leans on ggplot2, data visualization and inset plots, constants focuses on physical constants, codata and units.
constants and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full constants trajectory → · Compare ggmagnify vs constants →
3. austraits · velocity 0.0
The R client for AusTraits spends its releases chasing the dataset it reads.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, austraits focuses on plant traits, open data and ecology.
austraits and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full austraits trajectory → · Compare ggmagnify vs austraits →
4. ggdemetra · velocity 0.0
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, ggdemetra focuses on seasonal adjustment, ggplot2 and time series.
ggdemetra and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggdemetra trajectory → · Compare ggmagnify vs ggdemetra →
5. fossilsim · velocity 0.0
A fossil-record simulator that quietly grew a trait-evolution engine.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Trait simulation arrives: Mk, BM and OU models”.
Where ggmagnify leans on ggplot2, data visualization and inset plots, fossilsim focuses on phylogenetics, simulation and trait evolution.
fossilsim and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full fossilsim trajectory → · Compare ggmagnify vs fossilsim →
6. tern.rbmi · velocity 0.0
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, tern.rbmi focuses on pharmaverse, multiple imputation and cran maintenance.
tern.rbmi and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tern.rbmi trajectory → · Compare ggmagnify vs tern.rbmi →
7. tern.mmrm · velocity 0.0
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, tern.mmrm focuses on pharmaverse, mmrm and tabulation.
tern.mmrm and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tern.mmrm trajectory → · Compare ggmagnify vs tern.mmrm →
8. symengine · velocity 0.0
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, symengine focuses on symbolic computation, cas and cpp core.
symengine and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full symengine trajectory → · Compare ggmagnify vs symengine →
9. gtfstools · velocity 0.0
Gtfstools stopped guarding its own object model and started accepting everyone else's.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Accepts GTFS objects from gtfsio and tidytransit”.
Where ggmagnify leans on ggplot2, data visualization and inset plots, gtfstools focuses on gtfs, public transport and geospatial.
gtfstools and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full gtfstools trajectory → · Compare ggmagnify vs gtfstools →
10. quantities · velocity 0.0
The glue package that makes R carry units and uncertainty through the same calculation.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, quantities focuses on units, measurement uncertainty and error propagation.
quantities and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full quantities trajectory → · Compare ggmagnify vs quantities →
11. dietr · velocity 0.0
A fish diet package whose release history is really a record of surviving rfishbase.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, dietr focuses on fish ecology, diet analysis and fishbase.
dietr and ggmagnify have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. windex · velocity 0.0
Steady, unglamorous upkeep on a niche phylogenetic adaptation index.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmagnify leans on ggplot2, data visualization and inset plots, windex focuses on phylogenetics, comparative methods and evolutionary biology.
windex and ggmagnify 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 ggmagnify?
The top ggmagnify alternatives we currently track in analytics tools are qqman, constants, austraits, ggdemetra, fossilsim, ranked by recent ship velocity.
How is this list of ggmagnify alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ggmagnify directly with one of these alternatives?
Yes — every card has a "Compare with ggmagnify" link to a side-by-side /compare page.