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GSODR vs mirai

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

GSODR vs mirai: at a glance

FeatureGSODRmirai
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesropensci, weather-data, r-package, noaaparallel-computing, async, backpressure, shiny
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is GSODR?

A weather-station data client that broke one return type to hand back distances instead of bare IDs.

GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.

Read the full GSODR trajectory →

What is mirai?

mirai removed its dispatcher process and added memory backpressure to the queue.

The async evaluation framework releases roughly monthly and moves fast at the architecture level. In 2.7.0 the dispatcher stopped being a separate process and became a thread, after its loop had already been rewritten in C inside nanonext one release earlier. The same release added an opt-in memory budget for queued task payloads and try_mirai(), which returns NULL immediately rather than blocking when that budget is exhausted.

Read the full mirai trajectory →

GSODR vs mirai: editorial side-by-side

G
GSODR
ANALYTICS
0.0

A weather-station data client that broke one return type to hand back distances instead of bare IDs.

◆ Current state

GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.

◆ Where it's heading

The package is mature and its releases read as upkeep: refreshing the internal ISD history database, dropping dependencies in favour of base and curl, and hardening the download path against station-year combinations that do not exist. The 4.0.0 change fits the same pattern of returning more structure by default rather than making callers query twice.

◆ Prediction

The most likely next release is another internal station-history refresh; there is no signal of new data sources or analysis features in these entries.

M
mirai
ANALYTICS
2.5

mirai removed its dispatcher process and added memory backpressure to the queue.

◆ Current state

The async evaluation framework releases roughly monthly and moves fast at the architecture level. In 2.7.0 the dispatcher stopped being a separate process and became a thread, after its loop had already been rewritten in C inside nanonext one release earlier. The same release added an opt-in memory budget for queued task payloads and try_mirai(), which returns NULL immediately rather than blocking when that budget is exhausted.

◆ Where it's heading

Two threads of work run together: cutting overhead out of the task path — thread-based dispatcher, in-process transport for synchronous daemons, lower per-element dispatch cost in mirai_map() — and making the framework safe to embed in an event loop, where blocking the host R thread is not acceptable. Deployment reach is growing too, with http_config() launching remote daemons over HTTP APIs and auto-configuring for Posit Workbench. Each release pins a minimum nanonext version, so the two packages advance as one unit.

◆ Prediction

With backpressure in place but opt-in, the open question these notes leave is whether a default memory budget arrives; continued overhead reduction and Shiny-facing non-blocking paths are the safer bet.

Alternatives to GSODR and mirai

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 GSODR or mirai.

See all GSODR alternatives → · See all mirai alternatives →

Recent activity from GSODR and mirai

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

  1. 25d agomiraiMap collection and daemon lifecycle fixes
  2. 2mo agomiraiAgent skill ships in-package; HTTP headers take over auth
  3. 3mo agomiraiDispatcher becomes a thread, and the queue gains a memory budget
  4. 5mo agomiraiParallel RNG seeding leaves experimental status
  5. 6mo agomiraiRemote daemons over HTTP, and a C dispatcher loop
  6. 8mo agomiraiTelemetry span timing and daemon-switch fix
  7. 2y agoGSODRnearest_stations() returns metadata and distances
  8. 2y agoGSODRStation history refresh and internal tidying
  9. 2y agoGSODRBad station-year requests warn instead of failing the batch

Frequently asked questions

What is the difference between GSODR and mirai?

They serve adjacent needs but don't currently overlap on shipped themes. mirai is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is GSODR better than mirai?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mirai is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to GSODR?

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

What are the best alternatives to mirai?

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