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Drop the nulls, keep the values

Toss-up

Requirement

A battery monitor produced nine voltage samples, three of which the sensor dropped (null). Discard the failures, print each surviving sample formatted to one decimal, then report how many were dropped. The data is in the code; both versions must print the lines shown under Expected output.

Expected output
3.4 V
3.9 V
4.1 V
3.7 V
4.4 V
4.0 V
Dropped 3 empty samples

Side by side

RxDart

FxDart

Why they differ

whereNotNull is compact — the same operator wearing each library's naming convention. Both do the thing that matters beyond filtering: they narrow the static type, turning a double? element type into double, so the toStringAsFixed call downstream needs no null checks and no !. Filter and promote in one word, on both sides.

So the verdict is a tie on vocabulary — and the honest remainder is only the delivery model. The stream version lifts a list it already holds into a Stream and awaits the collection back out; the pull version finishes before the stream version's first await would have run. On a nine-element fixed list that overhead is small enough to shrug at, which is exactly the difference between this example and the verdict-carrying aggregation in Total the valid even amounts: here the point is that the two libraries agree, right down to the type promotion.

Benchmark

Apple M1 Max, 32 GB RAM · Dart 3.12.2 (AOT-compiled) · 2026-08-18

N = 100

Time Tie

RxDart 24 µs
FxDart 11 µs

Peak memory Tie

RxDart 16.5 MB
FxDart 16.5 MB

N = 1,000,000

Time FxDart wins

RxDart 208.6 ms
FxDart 126.3 ms

Peak memory FxDart wins

RxDart 123.0 MB
FxDart 116.8 MB

Bars are medians of repeated timed iterations in fresh processes per side (small N is batched for timer resolution). Sides within 5% of each other — or within 0.6 ms, a difference no person can perceive — count as a tie; close relative races are re-measured up to 5 runs. In an app, anything under a few milliseconds is invisible to the user regardless of which bar is shorter. Memory is peak process RSS. The Dart VM and the dataset are identical on both sides, so the difference between the two bars is what the pipeline itself holds onto.