qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
etn vs ggmagnify
A side-by-side editorial comparison of etn and ggmagnify — release velocity, themes, recent moves, and the top alternatives to consider.
etn vs ggmagnify: at a glance
What is etn?
etn stopped being an RStudio-server package and became something you can run anywhere.
etn is the R client for the European Tracking Network's acoustic telemetry database, maintained at INBO. The 3.0.0 release routes queries through an API served by the companion etnservice package, so the package no longer requires a session on the ETN RStudio server. Credentials moved out of a connection object and into .Renviron, and the data model was rescoped in 2.0.0 around tag_serial_number so acoustic work is one scope among several rather than the whole package.
What is 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.
etn vs ggmagnify: editorial side-by-side
etn
0.0ANALYTICS
etn stopped being an RStudio-server package and became something you can run anywhere.
◆ Current state
etn is the R client for the European Tracking Network's acoustic telemetry database, maintained at INBO. The 3.0.0 release routes queries through an API served by the companion etnservice package, so the package no longer requires a session on the ETN RStudio server. Credentials moved out of a connection object and into .Renviron, and the data model was rescoped in 2.0.0 around tag_serial_number so acoustic work is one scope among several rather than the whole package.
◆ Where it's heading
Two arcs run in parallel: widening access, and making room for non-acoustic data. The access work has been deliberate — an API-backed beta in 2024, then a stable release that picks the transport automatically and checks that a local etnservice install matches the deployed one, because the same query returning different results by transport would be worse than requiring the server. The Darwin Core export added in 2.1.0 points the same outward direction, moving data to OBIS and GBIF instead of keeping it in the ETN silo.
◆ Prediction
The cpod scope named in the 2.0.0 notes is the most likely next addition, now that the naming and the API transport are both in place to carry it.
ggmagnify
0.0ANALYTICS
A single-purpose ggplot2 inset tool, refining the same three arguments.
◆ Current state
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.
◆ Where it's heading
Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.
◆ Prediction
Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.
Alternatives to etn and ggmagnify
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 etn or ggmagnify.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all etn alternatives → · See all ggmagnify alternatives →
Recent activity from etn and ggmagnify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agoetnetn runs off the ETN RStudio server via the etnservice API ⚡
- 6mo agoetnData model rescoped; acoustic becomes one named scope
- 6mo agoetnwrite_dwc() exports telemetry as Darwin Core for OBIS and GBIF
- 6mo agoetndepth_in_meters added to acoustic detections
- 6mo agoetnwrite_dwc() fixes for uppercase project codes
- 6mo agoetnNA formatting and duplicate receiver ID fixes
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
Frequently asked questions
What is the difference between etn and ggmagnify?
They serve adjacent needs but don't currently overlap on shipped themes. etn and ggmagnify 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 etn better than ggmagnify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. etn and ggmagnify 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 etn?
Top etn alternatives in Analytics are ranked by recent ship velocity. Browse the "etn alternatives" section above for the current picks, or visit /alternatives/etn-r for the full list with editorial commentary on each.
What are the best alternatives to ggmagnify?
Top ggmagnify alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmagnify alternatives" section above for the current picks, or visit /alternatives/ggmagnify for the full list with editorial commentary on each.