ANALYTICS
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
Alternatives · analytics tools
hydroloom alternatives
The best hydroloom alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to hydroloom? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, hydroloom shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About hydroloom
USGS puts a type system over its river network toolkit so errors surface at dispatch
hydroloom builds and navigates hydrologic flow networks, carrying functionality migrated out of nhdplusTools. Version 1.2.0 introduces an S3 class hierarchy — hy_topo, hy_leveled, hy_node, hy_flownetwork — assigned automatically by hy() and by producer functions, letting the package validate input at dispatch time and emit guided errors. Outlet detection is now defined explicitly: a row is an outlet when its toid is not in id, with reserved values, NA and implicit absence all accepted.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to hydroloom
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces
ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
ANALYTICS
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
ANALYTICS
The R client for Our World in Data found its search had been reading a tenth of the catalog.
ANALYTICS
Text analysis in R keeps optimising its token internals — and builds a path out to torch
ANALYTICS
The ModernDive teaching package learns to render inside the browser that runs its own textbook
ANALYTICS
The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
ANALYTICS
A board game graphics package runs one of the most disciplined deprecation cycles in R.
ANALYTICS
The explainable-ensemble-tree package now measures whether its own explanations are faithful.
ANALYTICS
The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.
ANALYTICS
A scientific-text analysis package moved from counting citations to classifying argument structure.
hydroloom vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| hydroloom (baseline) | 0.0 | 0 | hydrologynetwork-analysisgeospatial | hydroloom v1.2.0 |
| glmbayes | 6.3 | 1 | bayesian-statisticsgeneralized-linear-modelsopencl | OpenCL split out to nmathopencl; insight and bayestestR integration |
| lstar | 5.0 | 0 | single-cell-genomicszarrwasm | lstar 0.2.0 |
| trendseries | 3.8 | 1 | time-serieseconometricsr-package | Decomposition becomes a first-class operation, five methods deep |
| qtl2 | 2.5 | 0 | qtl-mappingstatistical-geneticsbioinformatics | A genome scan that takes your own likelihood function |
| r-owidapi | 2.5 | 0 | open-dataour-world-in-datar-package | — |
| quanteda | 2.5 | 0 | text-analysisnatural-language-processingr-package | CRAN v4.0 |
| moderndive | 2.5 | 0 | statistics-educationwebrregression | — |
| PurpleAir | 0.0 | 0 | air-qualitysensor-datar-package | — |
| piecepackr | 0.0 | 0 | board-gamesgraphicsr-package | — |
| e2tree | 0.0 | 0 | explainable-aiensemble-methodsdecision-trees | A significance-tested measure of explanation fidelity |
| discretefdr | 0.0 | 0 | multiple-testingfalse-discovery-ratediscrete-statistics | — |
| contentanalysis | 0.0 | 0 | text-analysisbibliometricsscientific-writing | Sentence-level rhetorical move classification arrives |
The 12 best hydroloom alternatives, in depth
1. glmbayes · velocity 6.3
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain.
Over the last 30 days glmbayes shipped 1 meaningful update vs hydroloom's 0, most recently “OpenCL split out to nmathopencl; insight and bayestestR integration”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, glmbayes focuses on bayesian statistics, generalized linear models and opencl.
Over the last 30 days glmbayes has been shipping faster than hydroloom — a point in its favour if release momentum matters to you.
Full glmbayes trajectory → · Compare hydroloom vs glmbayes →
2. lstar · velocity 5.0
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “lstar 0.2.0”.
Where hydroloom leans on hydrology, network analysis and geospatial, lstar focuses on single cell genomics, zarr and wasm.
lstar and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. trendseries · velocity 3.8
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Over the last 30 days trendseries shipped 1 meaningful update vs hydroloom's 0, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than hydroloom — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare hydroloom vs trendseries →
4. qtl2 · velocity 2.5
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.
Where hydroloom leans on hydrology, network analysis and geospatial, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. r-owidapi · velocity 2.5
The R client for Our World in Data found its search had been reading a tenth of the catalog.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r-owidapi trajectory → · Compare hydroloom vs r-owidapi →
6. quanteda · velocity 2.5
Text analysis in R keeps optimising its token internals — and builds a path out to torch.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “CRAN v4.0”.
Where hydroloom leans on hydrology, network analysis and geospatial, quanteda focuses on text analysis, natural language processing and r package.
quanteda and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full quanteda trajectory → · Compare hydroloom vs quanteda →
7. moderndive · velocity 2.5
The ModernDive teaching package learns to render inside the browser that runs its own textbook.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, moderndive focuses on statistics education, webr and regression.
moderndive and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full moderndive trajectory → · Compare hydroloom vs moderndive →
8. PurpleAir · velocity 0.0
The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, PurpleAir focuses on air quality, sensor data and r package.
PurpleAir and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full PurpleAir trajectory → · Compare hydroloom vs PurpleAir →
9. piecepackr · velocity 0.0
A board game graphics package runs one of the most disciplined deprecation cycles in R.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, piecepackr focuses on board games, graphics and r package.
piecepackr and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full piecepackr trajectory → · Compare hydroloom vs piecepackr →
10. e2tree · velocity 0.0
The explainable-ensemble-tree package now measures whether its own explanations are faithful.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “A significance-tested measure of explanation fidelity”.
Where hydroloom leans on hydrology, network analysis and geospatial, e2tree focuses on explainable ai, ensemble methods and decision trees.
e2tree and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. discretefdr · velocity 0.0
The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where hydroloom leans on hydrology, network analysis and geospatial, discretefdr focuses on multiple testing, false discovery rate and discrete statistics.
discretefdr and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full discretefdr trajectory → · Compare hydroloom vs discretefdr →
12. contentanalysis · velocity 0.0
A scientific-text analysis package moved from counting citations to classifying argument structure.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Sentence-level rhetorical move classification arrives”.
Where hydroloom leans on hydrology, network analysis and geospatial, contentanalysis focuses on text analysis, bibliometrics and scientific writing.
contentanalysis and hydroloom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full contentanalysis trajectory → · Compare hydroloom vs contentanalysis →
Frequently asked questions
What are the best alternatives to hydroloom?
The top hydroloom alternatives we currently track in analytics tools are glmbayes, lstar, trendseries, qtl2, r-owidapi, ranked by recent ship velocity.
How is this list of hydroloom alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare hydroloom directly with one of these alternatives?
Yes — every card has a "Compare with hydroloom" link to a side-by-side /compare page.