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ggguides vs MetaboAnalystR

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

Shared themes:r-package

ggguides vs MetaboAnalystR: at a glance

FeatureggguidesMetaboAnalystR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, legends, r-package, bugfix-trainmetabolomics, exposomics, lc-ms, spectral-processing
Last editorial update1h ago24m ago
WebsiteVisit →Visit →

What is ggguides?

Three releases in one day to make legend positioning finally do what the docs said.

ggguides is a helper layer over ggplot2's guide system, exposing legend placement and styling through small named functions instead of raw theme() calls. On 23 April 2026 it shipped 1.1.7, 1.1.8 and 1.1.9 within thirteen hours, each fixing a different path by which the justification argument silently did nothing. The common root cause is that ggplot2 3.5 split legend.justification into side-specific theme elements, and ggguides was still writing to the generic fallback.

Read the full ggguides trajectory →

What is MetaboAnalystR?

The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation

MetaboAnalystR is the scriptable form of the MetaboAnalyst web platform, carrying several hundred functions for metabolomics data analysis, visualisation and functional interpretation. Its releases have steadily pushed the starting line further upstream: version 1 assumed processed data, version 2 added raw LC-MS spectral processing, and the 4.x line presents the whole path from raw spectra through compound identification to functional interpretation as one workflow. It also now claims exposomics alongside metabolomics as an application area.

Read the full MetaboAnalystR trajectory →

ggguides vs MetaboAnalystR: editorial side-by-side

G
ggguides
ANALYTICS
0.0

Three releases in one day to make legend positioning finally do what the docs said.

◆ Current state

ggguides is a helper layer over ggplot2's guide system, exposing legend placement and styling through small named functions instead of raw theme() calls. On 23 April 2026 it shipped 1.1.7, 1.1.8 and 1.1.9 within thirteen hours, each fixing a different path by which the justification argument silently did nothing. The common root cause is that ggplot2 3.5 split legend.justification into side-specific theme elements, and ggguides was still writing to the generic fallback.

◆ Where it's heading

The package is in the phase where a wrapper meets the reality of the API it wraps. All three same-day releases are the same bug found in successive entry points: legend_inside(), then the four side functions, then legend_style(by = ). Along the way the fix work produced a real feature, a justification argument on the side legend functions. The pattern of a single reporter driving three consecutive releases suggests the surface is being audited rather than randomly patched.

◆ Prediction

Expect a consolidation release that audits the remaining theme elements ggguides writes to against ggplot2 3.5 semantics, rather than another single-path fix.

M0.0

The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation

◆ Current state

MetaboAnalystR is the scriptable form of the MetaboAnalyst web platform, carrying several hundred functions for metabolomics data analysis, visualisation and functional interpretation. Its releases have steadily pushed the starting line further upstream: version 1 assumed processed data, version 2 added raw LC-MS spectral processing, and the 4.x line presents the whole path from raw spectra through compound identification to functional interpretation as one workflow. It also now claims exposomics alongside metabolomics as an application area.

◆ Where it's heading

The consistent move is absorbing steps that users previously stitched together from separate tools. Peak picking, alignment and annotation came in with 2.0; automated feature detection optimisation and compound identification came with the 4.x work. The releases are infrequent and paper-shaped — each major version is announced with publication text rather than a change list — which makes the version history read as a sequence of methods papers more than a software cadence.

◆ Prediction

The exposomics framing is the newest element and the least built out in these entries, which makes it the most likely direction for the next round of work.

Alternatives to ggguides and MetaboAnalystR

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 ggguides or MetaboAnalystR.

See all ggguides alternatives → · See all MetaboAnalystR alternatives →

Recent activity from ggguides and MetaboAnalystR

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

  1. 3mo agoggguideslegend_style(by=) justification now reaches the whole-plot theme
  2. 3mo agoggguidesSide legend functions gain justification and target the right theme element
  3. 3mo agoggguideslegend_inside() justification now moves the legend as documented
  4. 8mo agoggguidesLegend reordering, key overrides and colorbar styling added
  5. 10mo agoMetaboAnalystRMetaboAnalystR 4.2: a unified LC-MS/MS workflow for global metabolomics and exposomics
  6. 3y agoMetaboAnalystRMetaboAnalystR 3.3: Pre-version of version 4.0
  7. 7y agoMetaboAnalystRMetaboAnalystR 2.0: From Raw Spectra to Biological Insights
  8. 8y agoMetaboAnalystRInteractive 3D ordination plots via plotly

Frequently asked questions

What is the difference between ggguides and MetaboAnalystR?

Both compete on the same themes — r-package — within Analytics. ggguides and MetaboAnalystR 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 ggguides better than MetaboAnalystR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggguides and MetaboAnalystR 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 ggguides?

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

What are the best alternatives to MetaboAnalystR?

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