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Comparison · Infra & APIs

samplr vs sits

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

Shared themes:r-package

samplr vs sits: at a glance

Featuresamplrsits
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescognitive-science, sampling-algorithms, mcmc, dormantearth-observation, remote-sensing, machine-learning, r-package
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is samplr?

A cognitive-science sampling package ships once, then goes quiet for eighteen months

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

Read the full samplr trajectory →

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.

Read the full sits trajectory →

samplr vs sits: editorial side-by-side

S
samplr
INFRA · APIS
0.0

A cognitive-science sampling package ships once, then goes quiet for eighteen months

◆ Current state

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

◆ Where it's heading

The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.

◆ Prediction

Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.

S
sits
INFRA · APIS
0.0

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 samplr 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 samplr or sits.

See all samplr alternatives → · See all sits alternatives →

Recent activity from samplr and sits

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

  1. 5mo agosamplrMean_Variance() row count corrected after eighteen months
  2. 7mo agositsSNIC segmentation, imputation helpers and QGIS palette export
  3. 8mo agositsOne-line hotfix for a CRAN compiler requirement
  4. 11mo agositsHotfix: TAE embeddings, MPC token handling, texture divide-by-zero
  5. 11mo agositsA Python API arrives, alongside SAR texture measures
  6. 1y agositsExclusion masks, multiple tiling systems and faster segment classification
  7. 1y agositsFour more archives wired in, including Digital Earth Africa
  8. 1y agosamplrFloating point comparison fix
  9. 1y agosamplrsamplr 1.0.0

Frequently asked questions

What is the difference between samplr and sits?

Both compete on the same themes — r-package — within Infra & APIs. samplr 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 samplr better than sits?

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

Top samplr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "samplr alternatives" section above for the current picks, or visit /alternatives/samplr 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.