distributions3
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
Comparison · Analytics
ApexCharts vs chattr
A side-by-side editorial comparison of ApexCharts and chattr — release velocity, themes, recent moves, and the top alternatives to consider.
ApexCharts vs chattr: at a glance
What is ApexCharts?
Licensing settled, ApexCharts is back to changing what a chart can take as input.
ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.
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.
ApexCharts vs chattr: editorial side-by-side
ApexCharts
10.0ANALYTICS
Licensing settled, ApexCharts is back to changing what a chart can take as input.
◆ Current state
ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.
◆ Where it's heading
The through-line now is input and arrangement rather than catalogue size. Charts increasingly accept the measurements a team actually has instead of pre-aggregated values, and the seams that let you hand a chart its own layout — plotOptions.unit.positions, the pluggable layout hook — are being filled in with kits rather than hard-coded options. The premium boundary has stopped moving; the free catalogue keeps growing around it.
◆ Prediction
Expect the raw-observation pattern to reach another chart type now that the bar pathway handles binning, and expect the remaining pluggable seams to get companion kits the way positions just did.
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.
Alternatives to ApexCharts and chattr
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 ApexCharts or chattr.
Basedash
Basedash keeps pushing its data out of the workspace — now to people without accounts
RStudio
RStudio ships through release branches, and the notes are commit messages
dbt Core
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
Fulcrum
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Holistics
Holistics keeps fencing in the AI layer it spent the summer building.
See all ApexCharts alternatives → · See all chattr alternatives →
Recent activity from ApexCharts and chattr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoApexChartsUnit charts get a 39-shape companion kit
- 3d agoApexChartsHistogram bins raw samples; charts morph between types ⚡
- 10d agoApexChartsPer-data-point label offsets land as functions
- 11d agoApexChartsPie and donut slice clicks work again after a 6.7.0 regression
- 17d agoApexChartsSunburst charts arrive; premium features now need an entitled plan ⚡
- 23d agoApexChartsUnit chart is the first premium-gated chart type ⚡
- 1y agochattrAdapts to ellmer's token object change
- 1y agochattrAll model integration moves to ellmer, direct backends removed ⚡
- 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 ApexCharts and chattr?
They serve adjacent needs but don't currently overlap on shipped themes. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), with 3 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ApexCharts better than chattr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), with 3 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to ApexCharts?
Top ApexCharts alternatives in Analytics are ranked by recent ship velocity. Browse the "ApexCharts alternatives" section above for the current picks, or visit /alternatives/apexcharts for the full list with editorial commentary on each.
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.