poppr
A population-genetics workhorse in long-term maintenance, shipping only what CRAN demands.
Comparison · Analytics
edibble vs jmastats
A side-by-side editorial comparison of edibble and jmastats — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
edibble vs jmastats: at a glance
What is edibble?
A grammar for experimental design that learned to compose designs and track its own provenance.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
What is jmastats?
A Japan Meteorological Agency client whose real product is keeping its bundled datasets current.
jmastats pulls weather and climate data from the Japan Meteorological Agency into R, and most of its releases exist to refresh the station and reference datasets it ships. Three of the four versions on record are dataset updates, dated by the month they were cut. The exception is 0.3.0, which taught jma_collect() to retrieve climatological normals derived from past observations.
edibble vs jmastats: editorial side-by-side
edibble
0.0ANALYTICS
A grammar for experimental design that learned to compose designs and track its own provenance.
◆ Current state
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
◆ Where it's heading
Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.
◆ Prediction
Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.
jmastats
0.0ANALYTICS
A Japan Meteorological Agency client whose real product is keeping its bundled datasets current.
◆ Current state
jmastats pulls weather and climate data from the Japan Meteorological Agency into R, and most of its releases exist to refresh the station and reference datasets it ships. Three of the four versions on record are dataset updates, dated by the month they were cut. The exception is 0.3.0, which taught jma_collect() to retrieve climatological normals derived from past observations.
◆ Where it's heading
The package treats bundled data as the thing that must not go stale, and the retrieval API as broadly finished. Where code does change, it is about being a well-behaved client — request intervals to reduce server load, messages when returned data contains missing values, corrected station coordinates. Capability growth happens in single steps, roughly once a year.
◆ Prediction
The next release is most likely another dated dataset refresh; a further extension of jma_collect() to a new observation type is plausible but the entries show no specific one being prepared.
Alternatives to edibble and jmastats
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 edibble or jmastats.
accessibility
An urban accessibility toolkit that grew into a distributional-equity toolkit.
rgoogleads
A Google Ads API client for R that exists to stay one step ahead of deprecation.
varnish
The Carpentries' lesson skin, rebuilt on Bootstrap 5 with dark mode and a wider reach.
flextreat.hydrus1d
A project-bound modelling package that shipped its final scenario workflow and stopped.
rfacebookstat
A Facebook Marketing API client for R whose release schedule belongs to Meta, not its author.
See all edibble alternatives → · See all jmastats alternatives →
Recent activity from edibble and jmastats
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoedibbleBetter handling of designs built from existing data
- 1y agojmastatsjma_collect() can now retrieve climatological normals
- 2y agojmastatsStation coordinates and prefecture codes corrected
- 2y agojmastatsBundled datasets refreshed to March 2024
- 2y agoedibbleedibble 1.1.0 ⚡
- 2y agojmastatsFirst CRAN release adds request throttling to jma_collect()
- 2y agoedibbleInternals rebuilt on a command-tracking Provenance object
- 3y agoedibbleS3 consistency and citation modernised
- 3y agoedibbleRd files fixed for HTML5 compatibility
- 4y agoedibbleInitial release
Frequently asked questions
What is the difference between edibble and jmastats?
Both compete on the same themes — r-package — within Analytics. edibble and jmastats 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 edibble better than jmastats?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. edibble and jmastats 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 edibble?
Top edibble alternatives in Analytics are ranked by recent ship velocity. Browse the "edibble alternatives" section above for the current picks, or visit /alternatives/edibble for the full list with editorial commentary on each.
What are the best alternatives to jmastats?
Top jmastats alternatives in Analytics are ranked by recent ship velocity. Browse the "jmastats alternatives" section above for the current picks, or visit /alternatives/jmastats for the full list with editorial commentary on each.