← Back to home
Comparison · Analytics

jmastats vs silx

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

jmastats vs silx: at a glance

Featurejmastatssilx
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesr-package, weather-data, japan, dataset-refreshscientific-computing, data-visualization, synchrotron, qt
Last editorial update2d ago3h ago
WebsiteVisit →Visit →

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.

Read the full jmastats trajectory →

What is silx?

silx settles into maintenance a release after its PySide6 migration

silx is in the quiet phase after a generational release. 3.1.1 is a single fix to FitWidget loading a fit function from file. The release before it, 3.1.0, was the first real feature work since the migration - asinh axis scaling, twilight colormaps, and dark-theme icons - and 3.0.1 was similarly small. The 3.0.0 cut that reset the Qt binding and Python floor still defines what the line is doing.

Read the full silx trajectory →

jmastats vs silx: editorial side-by-side

J
jmastats
ANALYTICS
0.0

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.

S
silx
ANALYTICS
5.0

silx settles into maintenance a release after its PySide6 migration

◆ Current state

silx is in the quiet phase after a generational release. 3.1.1 is a single fix to FitWidget loading a fit function from file. The release before it, 3.1.0, was the first real feature work since the migration - asinh axis scaling, twilight colormaps, and dark-theme icons - and 3.0.1 was similarly small. The 3.0.0 cut that reset the Qt binding and Python floor still defines what the line is doing.

◆ Where it's heading

The cadence has slowed markedly since April, and the content has shifted from structural change to plotting and colormap refinement. That is the expected shape after a binding migration: downstream beamline code needs a stable target, so the project trades feature velocity for a quiet surface. The gap between 3.0.1 in May and 3.1.0 in August is the clearest signal of the deliberate slowdown.

◆ Prediction

Expect further point releases servicing the plotting and fitting widgets rather than another structural change, with feature work continuing to arrive in the 3.1.x minors rather than patches.

Alternatives to jmastats and silx

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 jmastats or silx.

See all jmastats alternatives → · See all silx alternatives →

Recent activity from jmastats and silx

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

  1. 6h agosilxFitWidget fix for loading a fit function from file
  2. 9d agosilx3.1.0: asinh axis scaling, twilight colormaps, dark-theme icons
  3. 3mo agosilx3.0.1: silx view fails to disable HDF5 file locking
  4. 3mo agosilx3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required
  5. 3mo agosilx3.0.0rc1: release candidate for the PySide6 migration
  6. 1y agosilx2.2.2: plot axes limits, OpenGL axes and libhdf5 1.14 fixes
  7. 1y agojmastatsjma_collect() can now retrieve climatological normals
  8. 2y agojmastatsStation coordinates and prefecture codes corrected
  9. 2y agojmastatsBundled datasets refreshed to March 2024
  10. 2y agojmastatsFirst CRAN release adds request throttling to jma_collect()

Frequently asked questions

What is the difference between jmastats and silx?

They serve adjacent needs but don't currently overlap on shipped themes. silx is currently shipping more aggressively (velocity 5.0 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 jmastats better than silx?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. silx is currently shipping more aggressively (velocity 5.0 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 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.

What are the best alternatives to silx?

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