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Comparison · Analytics

citeme vs epikit

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

Shared themes:r-package

citeme vs epikit: at a glance

Featurecitemeepikit
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesresearch-software, citation-metadata, orcid, validationepidemiology, field-data, date-handling, r-package
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is citeme?

Citation metadata machinery breaks out of INBO's checklist package to stand on its own.

citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.

Read the full citeme trajectory →

What is epikit?

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

Read the full epikit trajectory →

citeme vs epikit: editorial side-by-side

C
citeme
ANALYTICS
0.0

Citation metadata machinery breaks out of INBO's checklist package to stand on its own.

◆ Current state

citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.

◆ Where it's heading

Development is running in tight monthly increments along two tracks: modelling who is attached to a piece of research software, and smoothing the interactive prompts that collect it. The publisher role added in 0.1.1 propagated through validation, community detection and YAML handling over the next two releases, which is how this package tends to land a concept — introduce the class field, then follow it everywhere it needs to reach.

◆ Prediction

Expect the interactive ask_* family to keep growing alongside whatever metadata field is being modelled next, and further alignment with the checklist package it was carved out of.

E
epikit
ANALYTICS
0.0

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

◆ Current state

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

◆ Where it's heading

The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.

◆ Prediction

With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.

Alternatives to citeme and epikit

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 citeme or epikit.

See all citeme alternatives → · See all epikit alternatives →

Recent activity from citeme and epikit

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

  1. 1mo agocitemeInteractive keyword prompts and YAML logical fixes
  2. 1mo agocitemeREADME parsing handles a missing language badge
  3. 2mo agocitemePublisher role reaches badges and README metadata
  4. 3mo agocitemeOrganisations can declare publisher requirements
  5. 4mo agocitemeciteme splits out of checklist as its own package
  6. 9mo agoepikitProportion functions moved to epitabulate; date helpers warn correctly
  7. 3y agoepikitFunctions rearranged across sibling packages
  8. 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
  9. 5y agoepikitCompatibility release for dplyr 1.0.0
  10. 6y agoepikitFirst CRAN release

Frequently asked questions

What is the difference between citeme and epikit?

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

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

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

What are the best alternatives to epikit?

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