humind
The MSNI humanitarian needs framework as code, rewritten and re-broken every year
Comparison · Infra & APIs
echos vs smam
A side-by-side editorial comparison of echos and smam — release velocity, themes, recent moves, and the top alternatives to consider.
echos vs smam: at a glance
What is echos?
Echo state networks for R forecasting, filling in the pieces a fable model is expected to have.
echos fits echo state networks, a reservoir-computing approach to time series forecasting, and exposes them through the fabletools model interface so they sit alongside other models in a fable workflow. The three releases in this window take it from a working model to a complete one: forecast intervals in 1.0.2, hyperparameter tuning by rolling-origin cross-validation in 1.0.3, and documentation covering the architecture, hyperparameters and tuning workflow in 1.0.4. Cadence is a few releases a year.
What is smam?
Animal-movement models in R, where new stochastic processes arrive years apart.
smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.
echos vs smam: editorial side-by-side
echos
0.0INFRA · APIS
Echo state networks for R forecasting, filling in the pieces a fable model is expected to have.
◆ Current state
echos fits echo state networks, a reservoir-computing approach to time series forecasting, and exposes them through the fabletools model interface so they sit alongside other models in a fable workflow. The three releases in this window take it from a working model to a complete one: forecast intervals in 1.0.2, hyperparameter tuning by rolling-origin cross-validation in 1.0.3, and documentation covering the architecture, hyperparameters and tuning workflow in 1.0.4. Cadence is a few releases a year.
◆ Where it's heading
The arc here is a model implementation earning its place in an established framework. Point forecasts came first, then the interval forecasts that any fable-compatible model is expected to produce, generated by bootstrapping residuals and taking quantiles from simulated paths, then the tuning machinery that makes the reservoir hyperparameters usable by people who do not already know what alpha and rho do. Version 1.0.4 spending its whole release on documentation and a clearer dataset name is consistent with that: the remaining barrier is comprehension, not capability.
◆ Prediction
With intervals and tuning in place, the natural next step is broader integration with the fable ecosystem, such as handling multiple series or ensembling with other model types. The entries do not indicate whether the maintainer intends to go further into reservoir variants or to stabilise what is here.
smam
0.0INFRA · APIS
Animal-movement models in R, where new stochastic processes arrive years apart.
◆ Current state
smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.
◆ Where it's heading
This package grows by adding process models, and it does so rarely. Between the moving-moving process in 2021 and now, the only interface-level change has been the 0.7.0 generics that gave every fit function a common way to retrieve estimates and their covariance, which is consolidation of an accumulated collection rather than expansion of it. The three releases since are entirely reactive to toolchain and CRAN pressure, and they arrive in step with the maintainer's other package coga, which received the same Rcpp guard within twenty minutes on the same day.
◆ Prediction
Expect further releases to be CRAN and Rcpp maintenance unless a new movement process is published, which is what has historically prompted a minor version here. The generics added in 0.7.0 give any future process model a ready-made interface to slot into.
Alternatives to echos and smam
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 echos or smam.
inlabru
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
afcharts
UK government chart styling in ggplot2, chasing ggplot2 v4 and stretching its palette to five.
coga
A gamma-convolution density package that reached completion in 2018 and has coasted since.
baseq
A basic DNA and RNA sequence toolkit that went quiet for three years, then jumped to 2.0.
pakret
Package citation for R documents, quietly growing to meet Quarto.
Recent activity from echos and smam
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoechosDocumentation expanded; M4 dataset renamed
- 5mo agosmamRcpp attributes regenerated to guard Rf_error calls
- 5mo agoechostune_esn() tunes reservoir hyperparameters by cross-validation
- 1y agoechosForecast intervals added via moving block bootstrap
- 2y agosmamMaintainer email updated
- 2y agosmamCompiler format-security warning resolved
- 2y agosmamestimate and vcov generics unify all fit functions
- 5y agosmamMoving-moving process added with simulation and estimation ⚡
- 5y agosmamVariance estimators adjusted; example dataset added
Frequently asked questions
What is the difference between echos and smam?
They serve adjacent needs but don't currently overlap on shipped themes. echos and smam 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 echos better than smam?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. echos and smam 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 echos?
Top echos alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "echos alternatives" section above for the current picks, or visit /alternatives/echos for the full list with editorial commentary on each.
What are the best alternatives to smam?
Top smam alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "smam alternatives" section above for the current picks, or visit /alternatives/smam for the full list with editorial commentary on each.