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Comparison · Analytics

flightsbr vs hubVis

A side-by-side editorial comparison of flightsbr and hubVis — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

flightsbr vs hubVis: at a glance

FeatureflightsbrhubVis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesopen-data, aviation, brazil, data-accessforecast-visualization, hubverse, r-package, ggplot2
Last editorial update34m ago44m ago
WebsiteVisit →Visit →

What is flightsbr?

Brazil's flight-data package keeps working around what ANAC publishes and when.

flightsbr downloads Brazilian civil aviation data — flights, airport movements, aircraft registrations, air fares — straight from ANAC into R. Its read_ functions now default to the latest available date rather than requiring one, and read_aircrafts() has been renamed to read_aircraft(). The published feed jumps from 0.1.2 to 0.3.0 to 1.1.0, so intermediate releases are not visible here.

Read the full flightsbr trajectory →

What is hubVis?

The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.

hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.

Read the full hubVis trajectory →

flightsbr vs hubVis: editorial side-by-side

F
flightsbr
ANALYTICS
0.0

Brazil's flight-data package keeps working around what ANAC publishes and when.

◆ Current state

flightsbr downloads Brazilian civil aviation data — flights, airport movements, aircraft registrations, air fares — straight from ANAC into R. Its read_ functions now default to the latest available date rather than requiring one, and read_aircrafts() has been renamed to read_aircraft(). The published feed jumps from 0.1.2 to 0.3.0 to 1.1.0, so intermediate releases are not visible here.

◆ Where it's heading

This is a package defined by its upstream. Its releases are mostly reactions to how ANAC serves data: a download path that broke on 2022 data, URLs with inconsistent .CSV casing that hid available dates, a broken data dictionary link, and an air fares reader that had to be pulled entirely when the source became unworkable. The 2025 release is the first that reads like product design rather than repair — defaulting to the latest data and fixing a typo in a function name at the cost of a deprecation. Availability of the source, not developer intent, sets the release cadence.

◆ Prediction

The most likely next move is another adjustment to a changed ANAC endpoint or the return of the suspended air fares reader, since upstream availability has driven every release visible here.

H
hubVis
ANALYTICS
0.0

The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.

◆ Current state

hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.

◆ Where it's heading

The pattern across all four releases is narrow and reactive: a legend construction fix, a palette assignment fix, and most recently a compatibility change for ggplot2 4.0.0 written to keep working with earlier versions too. Two of the three fixes concern colour and legend handling, which suggests palette assignment is the fragile part of the codebase. As a thin layer over ggplot2 inside a larger stack, the package's release triggers come from below it rather than from its own roadmap.

◆ Prediction

Expect continued single-issue patches driven by upstream ggplot2 changes and by whatever the sibling hubverse packages emit, rather than new plot types.

Alternatives to flightsbr and hubVis

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 flightsbr or hubVis.

See all flightsbr alternatives → · See all hubVis alternatives →

Recent activity from flightsbr and hubVis

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 11mo agohubVisCompatibility fix for ggplot2 4.0.0
  2. 1y agohubVisPalette creation fixed for colour parameters
  3. 1y agoflightsbrReaders default to the latest available data
  4. 1y agohubVisLegend built after plot so all traces appear
  5. 1y agohubVisStable release brings group parameter to interactive plots
  6. 3y agoflightsbrVectorised dates for flights as air fares reader is withdrawn
  7. 4y agoflightsbrFix for blocked 2022 data downloads

Frequently asked questions

What is the difference between flightsbr and hubVis?

Both compete on the same themes — r-package — within Analytics. flightsbr and hubVis 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 flightsbr better than hubVis?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. flightsbr and hubVis 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 flightsbr?

Top flightsbr alternatives in Analytics are ranked by recent ship velocity. Browse the "flightsbr alternatives" section above for the current picks, or visit /alternatives/flightsbr for the full list with editorial commentary on each.

What are the best alternatives to hubVis?

Top hubVis alternatives in Analytics are ranked by recent ship velocity. Browse the "hubVis alternatives" section above for the current picks, or visit /alternatives/hubvis for the full list with editorial commentary on each.