vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
Comparison · Infra & APIs
DMRnet vs sits
A side-by-side editorial comparison of DMRnet and sits — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
DMRnet vs sits: at a glance
What is DMRnet?
A categorical-variable selection package that publishes its full test logs as release candidates.
DMRnet implements delete-or-merge-regressors model selection for high-dimensional categorical data, alongside SOSnet and GLAMER variants from the same research group. Development is slow and academic — 0.4.0 in 2023, then two years to 0.4.1 in August 2025, which corrects an invalid lambda.1se computation and the cross-validation plots that displayed it. Every real release is preceded days earlier by a release-candidate entry containing the raw output of the correctness and consistency test suite.
What is sits?
An R package for satellite time series just grew a Python API.
sits classifies satellite image time series — building data cubes from cloud archives, training deep learning models on them, and producing land-cover maps. The releases here are dense feature lists in a steady 1.5.x line, and two themes recur in every one: more source collections wired in, and more of the classification pipeline made parallel or chunked. Version 1.5.3 added pysits, a Python API onto the same engine.
DMRnet vs sits: editorial side-by-side
DMRnet
0.0INFRA · APIS
A categorical-variable selection package that publishes its full test logs as release candidates.
◆ Current state
DMRnet implements delete-or-merge-regressors model selection for high-dimensional categorical data, alongside SOSnet and GLAMER variants from the same research group. Development is slow and academic — 0.4.0 in 2023, then two years to 0.4.1 in August 2025, which corrects an invalid lambda.1se computation and the cross-validation plots that displayed it. Every real release is preceded days earlier by a release-candidate entry containing the raw output of the correctness and consistency test suite.
◆ Where it's heading
The package is converging on correctness rather than expanding. 0.3.3 was a wall of fixes to inference, log-likelihood, and degenerate cross-validation cases; 0.4.0 added the var_sel algorithm and brought GLAMER into the package's own net idiom over its tau parameter; 0.4.1 is again a statistical correctness fix. The published test-log releases are the tell — this maintainer treats reproducible evidence that hard cases still pass as part of the release artifact, which is unusual outside academic statistical software.
◆ Prediction
Given the two-year gap before 0.4.1 and its narrow scope, the next release is most likely another correctness fix arriving on a multi-year cadence, again preceded by a full test-log release candidate.
sits
0.0INFRA · APIS
An R package for satellite time series just grew a Python API.
◆ Current state
sits classifies satellite image time series — building data cubes from cloud archives, training deep learning models on them, and producing land-cover maps. The releases here are dense feature lists in a steady 1.5.x line, and two themes recur in every one: more source collections wired in, and more of the classification pipeline made parallel or chunked. Version 1.5.3 added pysits, a Python API onto the same engine.
◆ Where it's heading
The package is positioning itself as the interface layer to Earth observation archives rather than as an algorithm library. Each release absorbs another provider — Planetary Computer, Digital Earth Africa and Australia, CDSE, TERRASCOPE, Open Geo Hub, PLANET — so the differentiator is coverage and the uniform cube abstraction over it. The Python API extends the same logic to the language most of that community actually works in. Alongside, the work is increasingly about scale: chunk parallelisation, multicores sampling, GPU classification, WebGL rendering.
◆ Prediction
With collections still being added release over release, expect more providers and continued performance work on the classification and regularisation paths. The open question the entries do not answer is how far pysits tracks the R API, since it appears once and is not mentioned again in later releases.
Alternatives to DMRnet and sits
Other Infra & APIs 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 DMRnet or sits.
dialr
The R phone-number package stopped only parsing numbers and started asking them where they are.
ggVennDiagram
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
ordinalsimr
A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.
transltr
A new R localization package that reached CRAN and immediately downgraded itself to experimental.
hereR
An R client for HERE's location APIs, shaped almost entirely by what the vendor exposes next.
Recent activity from DMRnet and sits
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agositsSNIC segmentation, imputation helpers and QGIS palette export
- 8mo agositsOne-line hotfix for a CRAN compiler requirement
- 11mo agositsHotfix: TAE embeddings, MPC token handling, texture divide-by-zero
- 11mo agositsA Python API arrives, alongside SAR texture measures ⚡
- 1y agoDMRnetInvalid lambda.1se computation corrected in cross-validation
- 1y agoDMRnetTest-suite log published ahead of the 0.4.1 release
- 1y agositsExclusion masks, multiple tiling systems and faster segment classification
- 1y agositsFour more archives wired in, including Digital Earth Africa
- 3y agoDMRnetvar_sel added; GLAMER reworked as a net over tau
- 3y agoDMRnetTest-suite log published ahead of the 0.4.0 release
- 3y agoDMRnetInference, log-likelihood, and degenerate-CV fixes across all model families
- 3y agoDMRnetTest-suite log published ahead of the 0.3.3 release
Frequently asked questions
What is the difference between DMRnet and sits?
Both compete on the same themes — r-package — within Infra & APIs. DMRnet and sits 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 DMRnet better than sits?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DMRnet and sits 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to DMRnet?
Top DMRnet alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "DMRnet alternatives" section above for the current picks, or visit /alternatives/dmrnet for the full list with editorial commentary on each.
What are the best alternatives to sits?
Top sits alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sits alternatives" section above for the current picks, or visit /alternatives/sits for the full list with editorial commentary on each.