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A gamma-convolution density package that reached completion in 2018 and has coasted since.
A side-by-side editorial comparison of afcharts and Tailscale — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | afcharts | Tailscale |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 0 |
| Top themes | data-visualisation, government-statistics, ggplot2, colour-palettes | networking, scale, api, kubernetes |
| Last editorial update | 41m ago | 1h ago |
| Website | Visit → | — |
UK government chart styling in ggplot2, chasing ggplot2 v4 and stretching its palette to five.
afcharts supplies the UK Analysis Function's chart styling for ggplot2, as a theme, colour and fill scales, and a use_afcharts() call that applies the styling globally. Version 0.5.1 extends the sequential palette to five shades so it can carry quintile data such as deprivation bands, renames the na_colour argument to na.value, and adds a reset argument to switch the styling back off. The package began as a first release derived from sgplot and has had three releases in roughly two years.
Tailscale is paying down scale in two dimensions: nodes per tailnet, tailnets per org.
Three threads run through this window. The tailnet management API is the newest: creation landed in alpha in late July, and the list endpoint now paginates at 100 results with limit and cursor parameters. The client releases are patch-grade but weighted toward scale — v1.102.1 made node additions and removals constant-time, and v1.102.3 fixes Tailnet Lock startup failures on large tailnets while cutting memory use on iOS and tvOS. The Kubernetes operator runs on its own track, adding in-cluster PeerRelays, workload identity federation and IPv6 egress.
afcharts supplies the UK Analysis Function's chart styling for ggplot2, as a theme, colour and fill scales, and a use_afcharts() call that applies the styling globally. Version 0.5.1 extends the sequential palette to five shades so it can carry quintile data such as deprivation bands, renames the na_colour argument to na.value, and adds a reset argument to switch the styling back off. The package began as a first release derived from sgplot and has had three releases in roughly two years.
The work splits between palette design and keeping the styling composable. On the design side the sequential palette growing to five shades is driven by a specific reporting need rather than aesthetics, since quintiles are a standard unit in UK official statistics. On the mechanical side, the na.value rename was forced by ggplot2 v4.0.1, theme_af() now respects options set by an earlier use_afcharts() call, and a reset argument acknowledges that global styling needs an off switch. These are the problems a styling package hits once people use it inside larger documents.
Expect continued adjustment to ggplot2 v4, since the na.value rename is unlikely to be the only argument affected, and further palette work driven by the reporting formats government analysts actually publish. As a sibling to aftables in the same Analysis Function family, it is likely to keep tracking that guidance rather than setting its own direction.
Three threads run through this window. The tailnet management API is the newest: creation landed in alpha in late July, and the list endpoint now paginates at 100 results with limit and cursor parameters. The client releases are patch-grade but weighted toward scale — v1.102.1 made node additions and removals constant-time, and v1.102.3 fixes Tailnet Lock startup failures on large tailnets while cutting memory use on iOS and tvOS. The Kubernetes operator runs on its own track, adding in-cluster PeerRelays, workload identity federation and IPv6 egress.
The qualifier that keeps recurring is “large”: tailnets big enough to break Tailnet Lock at startup, node churn that pinned CPU, mobile clients running short of memory, and organizations holding more than a hundred tailnets. Tailscale is absorbing the cost of customers who outgrew the shape the product originally assumed, in two directions at once — nodes inside a tailnet, and tailnets inside an organization. The second is the more consequential, because allocating a tailnet per customer or per environment is a different product than a company network. Security work stays continuous alongside it, with TS-2026-011 closed here and a run of SSH and Serve advisories backported the month before.
The tailnet creation API should leave alpha carrying the same limit-and-cursor contract just applied to the list endpoint, with further startup and memory work aimed at large tailnets on the client side.
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 afcharts or Tailscale.
A gamma-convolution density package that reached completion in 2018 and has coasted since.
Animal-movement models in R, where new stochastic processes arrive years apart.
A basic DNA and RNA sequence toolkit that went quiet for three years, then jumped to 2.0.
Package citation for R documents, quietly growing to meet Quarto.
Accessible government spreadsheets in R, rebuilt on openxlsx2 and renamed along the way.
Automated scale shortening with lavaan, spending its releases repairing its own search algorithms.
See all afcharts alternatives → · See all Tailscale alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Tailscale is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Tailscale is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top afcharts alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "afcharts alternatives" section above for the current picks, or visit /alternatives/afcharts for the full list with editorial commentary on each.
Top Tailscale alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Tailscale alternatives" section above for the current picks, or visit /alternatives/tailscale for the full list with editorial commentary on each.