mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of ggfootball and SigNoz — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | ggfootball | SigNoz |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | sports-analytics, r-package, data-scraping, expected-goals | opentelemetry, agent-native, log-search, dashboards |
| Last editorial update | 53m ago | 21h ago |
| Website | Visit → | — |
A football-viz package just swapped scraping for an API and broke its own output to do it.
ggfootball is a small R package for plotting expected-goals and shot data, sourced from Understat. Four releases are visible. The 0.2.x line was argument tidying and dependency pruning; 0.3.0 replaced the data-acquisition layer wholesale, moving get_match_shots() from HTML parsing onto Understat's AJAX endpoints and changing the returned column names in the process.
Search without knowing the field — SigNoz keeps lowering the cost of not knowing your schema
SigNoz is an OpenTelemetry-native observability platform, and its recent quarter runs on two threads: compatibility as a migration argument, and agent-readiness. The dashboard rebuild on the CNCF Perses specification was the clearest statement of the second. The newest release adds a search() function to the Logs Explorer that matches a literal, case-insensitive term across body, attribute and resource keys and values without the user knowing which field holds it, optionally narrowed to named field contexts.
ggfootball is a small R package for plotting expected-goals and shot data, sourced from Understat. Four releases are visible. The 0.2.x line was argument tidying and dependency pruning; 0.3.0 replaced the data-acquisition layer wholesale, moving get_match_shots() from HTML parsing onto Understat's AJAX endpoints and changing the returned column names in the process.
The direction is away from scraped HTML and toward a thinner, more defensible package: four dependencies dropped in 0.3.0 on top of qdapRegex in 0.2.1, input validation added, error messages rewritten. Both breaking changes so far were accepted rather than deferred, which reads as a maintainer treating pre-1.0 as the window to get the shape right. The package is willing to break callers for structural reasons, not cosmetic ones.
With the scraper rebuilt and the dependency surface trimmed, the next releases are likely to stabilise the new column names and extend the plotting side, which has seen nothing since 0.2.0. A 1.0 would be the signal that the data structure is now considered fixed.
SigNoz is an OpenTelemetry-native observability platform, and its recent quarter runs on two threads: compatibility as a migration argument, and agent-readiness. The dashboard rebuild on the CNCF Perses specification was the clearest statement of the second. The newest release adds a search() function to the Logs Explorer that matches a literal, case-insensitive term across body, attribute and resource keys and values without the user knowing which field holds it, optionally narrowed to named field contexts.
Both threads keep advancing. PromQL conformance and an open dashboard schema lower the cost of moving to SigNoz from whatever is already installed; full-text search lowers the cost of not yet knowing your own telemetry schema, which is the same argument aimed at a new user's first hour rather than at a migration. Integration onboarding keeps expanding at a weekly clip, and the v1 alert history endpoints are running against an announced deadline.
Expect the schema-first treatment to reach alerts and saved views next, and the v1 alert history endpoints to disappear within a release or two; since search()'s own notes steer users toward field filters once the schema is known, field-context narrowing is the likely place it gets faster.
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 ggfootball or SigNoz.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all ggfootball alternatives → · See all SigNoz alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. SigNoz is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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. SigNoz is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 ggfootball alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggfootball alternatives" section above for the current picks, or visit /alternatives/ggfootball for the full list with editorial commentary on each.
Top SigNoz alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "SigNoz alternatives" section above for the current picks, or visit /alternatives/signoz for the full list with editorial commentary on each.