tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
chattr vs spatsoc
A side-by-side editorial comparison of chattr and spatsoc — release velocity, themes, recent moves, and the top alternatives to consider.
chattr vs spatsoc: at a glance
What is chattr?
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
What is spatsoc?
One maintainer, one or two new collective-motion metrics per release, for two years straight
spatsoc turns animal relocation data into spatial and social groupings — dyads, fission-fusion events, group centroids — and the recent history is a metronomic accretion of collective-motion measures on top of that base. Since late 2024 nearly every release has added one or two: polarization, direction to leader, position along the group axis, directional correlation delay, edge alignment, edge zones. Development is essentially single-handed; almost every merged PR in this window carries the same author.
chattr vs spatsoc: editorial side-by-side
chattr
0.0ANALYTICS
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
◆ Current state
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
◆ Where it's heading
The first two releases show why that happened. Each provider brought its own error formats, token discovery and response handling, and 0.2.0 is largely a list of per-provider repairs — OpenAI error parsing, Copilot token discovery and model defaults, a new Databricks foundation model backend. Maintaining that surface scales linearly with the number of providers, and the pivot to ellmer trades it for a single dependency. The cost shows up immediately in 0.3.1, which exists solely to absorb a change in ellmer's token object.
◆ Prediction
Expect chattr's releases to now track ellmer's, as 0.3.1 already does, with the package's own work concentrating on the IDE experience rather than model connectivity. New provider support will arrive without a chattr release at all.
spatsoc
0.0ANALYTICS
One maintainer, one or two new collective-motion metrics per release, for two years straight
◆ Current state
spatsoc turns animal relocation data into spatial and social groupings — dyads, fission-fusion events, group centroids — and the recent history is a metronomic accretion of collective-motion measures on top of that base. Since late 2024 nearly every release has added one or two: polarization, direction to leader, position along the group axis, directional correlation delay, edge alignment, edge zones. Development is essentially single-handed; almost every merged PR in this window carries the same author.
◆ Where it's heading
The December 2025 release changes register. Alongside three new calc_distance / calc_direction / calc_centroid functions and an internal assertion family, it deprecates the `projection` argument in favour of `crs` and lands a round of checks and tests explicitly staged ahead of a new spatial interface. Read together, that is a package finishing its metric catalogue and starting to rework the coordinate-handling layer underneath it to match modern R-spatial conventions — the same evolution that made it drop its startup warning back in 0.2.7.
◆ Prediction
The next release is likely the spatial-interface rework the 0.2.12 test and assertion work was staged for, with `projection` moving from deprecated to removed. Feature additions should slow while that lands.
Alternatives to chattr and spatsoc
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 chattr or spatsoc.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all chattr alternatives → · See all spatsoc alternatives →
Recent activity from chattr and spatsoc
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agospatsoccalc_* functions added; projection deprecated ahead of a spatial rework
- 10mo agospatsocEdge zones and edge direction added; centroid NA handling fixed
- 11mo agospatsocEdge alignment metric added
- 0y agochattrAdapts to ellmer's token object change
- 1y agospatsocLeader edge delay added; units dependency moves to a CRAN release
- 1y agochattrAll model integration moves to ellmer, direct backends removed ⚡
- 1y agospatsocDirectional correlation delay added; longlat direction bug fixed
- 1y agospatsocLeadership and group-axis position measures added
- 2y agochattrDatabricks foundation models added; per-provider error handling fixed
- 2y agochattrFirst release: LLM chat in the RStudio console and app
Frequently asked questions
What is the difference between chattr and spatsoc?
They serve adjacent needs but don't currently overlap on shipped themes. chattr and spatsoc 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 chattr better than spatsoc?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. chattr and spatsoc 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 chattr?
Top chattr alternatives in Analytics are ranked by recent ship velocity. Browse the "chattr alternatives" section above for the current picks, or visit /alternatives/chattr for the full list with editorial commentary on each.
What are the best alternatives to spatsoc?
Top spatsoc alternatives in Analytics are ranked by recent ship velocity. Browse the "spatsoc alternatives" section above for the current picks, or visit /alternatives/spatsoc for the full list with editorial commentary on each.