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chromConverter vs forecasting

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

chromConverter vs forecasting: at a glance

FeaturechromConverterforecasting
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesanalytical-chemistry, file-formats, chromatography, r-packageforecasting, epidemiology, reproducibility, vignettes
Last editorial update54m ago1h ago
WebsiteVisit →Visit →

What is chromConverter?

The chromatography file-format translator keeps absorbing vendor formats one release at a time

chromConverter reads proprietary chromatography data files into R. Version 0.9.0 adds four input paths — Agilent ACAML markup, Agilent OpenLab .amx method files, preliminary Chromatotec .Chrom support, and plain UTF-8 CSV — while consolidating sample_id and vial into a single sample_position field and introducing a chrom_list class whose print method shows a compact metadata summary instead of dumping every chromatogram.

Read the full chromConverter trajectory →

What is forecasting?

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

Read the full forecasting trajectory →

chromConverter vs forecasting: editorial side-by-side

C0.0

The chromatography file-format translator keeps absorbing vendor formats one release at a time

◆ Current state

chromConverter reads proprietary chromatography data files into R. Version 0.9.0 adds four input paths — Agilent ACAML markup, Agilent OpenLab .amx method files, preliminary Chromatotec .Chrom support, and plain UTF-8 CSV — while consolidating sample_id and vial into a single sample_position field and introducing a chrom_list class whose print method shows a compact metadata summary instead of dumping every chromatogram.

◆ Where it's heading

Format coverage is the product, so each release reads as a list of newly readable vendors. The more interesting movement in 0.9.0 is around the data rather than the parsers: consolidating metadata fields, defaulting the rainbow parser to sparse output for long-format MS data, and reordering read_agilent_d to prioritise DAD data over 2D chromatograms. Those are opinions about what users actually want back, and each one breaks existing code.

◆ Prediction

Chromatotec support is described as preliminary, which is the same language that has preceded fuller parser support in this package before.

F
forecasting
ANALYTICS
0.0

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

◆ Current state

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

◆ Where it's heading

The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.

◆ Prediction

Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.

Alternatives to chromConverter and forecasting

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 chromConverter or forecasting.

See all chromConverter alternatives → · See all forecasting alternatives →

Recent activity from chromConverter and forecasting

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

  1. 1mo agoforecastingVignettes rebuilt under R 4.6.1
  2. 2mo agochromConverterFour new vendor formats and a breaking metadata consolidation
  3. 1y agochromConvertersample_names reworked to read names from file metadata
  4. 2y agoforecastingVignettes rebuilt under R 4.3.2
  5. 5y agoforecastingVignettes rebuilt under R 4.0.4
  6. 7y agoforecastingStandard PIT and discretized log-normal scoring
  7. 7y agoforecastingThe version used for the book chapter, with pinned dependencies

Frequently asked questions

What is the difference between chromConverter and forecasting?

They serve adjacent needs but don't currently overlap on shipped themes. chromConverter and forecasting 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 chromConverter better than forecasting?

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

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

What are the best alternatives to forecasting?

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