Update Effect and XState benchmark runtimes

[SandroMaglione]

Summary

• update Effect, @effect/vitest, and example Effect packages from 4.0.0-beta.105 to 4.0.0-beta.107
• update the XState v6 benchmark alias from 6.0.0-alpha.27 to 6.0.0-alpha.31; XState v5 remains current at 5.32.5
• adapt schema-derived test arbitraries to Effect's new FastCheck factory API while preserving opaque-filter diagnostics
• refresh all workspace manifests, lockfiles, installation docs, benchmark docs, and the consumer compatibility fixture

Changeset

• Added or updated for a library or package-metadata change
• Not required because this PR does not change src/ or package.json

Validation

• pnpm check
• Relevant example checks, when examples changed
• Reviewed the automated type-performance report, when the public TypeScript API or inference changed
• Reviewed the automated runtime-performance report, when runtime behavior changed

Local validation also included pnpm perf:types, frozen-lockfile installation, and a full pnpm perf:runtime run. The automated reports remain the merge gate for the repeatable base-versus-PR comparison.

[github-actions]

Type performance

Measured with TypeScript 6.0.3 and skipLibCheck=true.

Scenario	Base	PR	Difference
Effect only	55	55	0 (0.0%)
Import effect-machine	55	55	0 (0.0%)
Machine.defineStates (3 states)	2,965	2,965	0 (0.0%)
Machine.make (3 states, 2 events)	8,715	8,715	0 (0.0%)
machine.handle (3 states, 2 transitions)	23,492	23,492	0 (0.0%)
machine.handle (depth 8)	117,075	117,075	0 (0.0%)
machine.handle (depth 12)	129,713	129,713	0 (0.0%)
machine.handle (depth 16)	145,055	145,055	0 (0.0%)
machine.handle (depth 24)	183,851	183,851	0 (0.0%)
machine.handle (wide depth 16)	214,189	214,189	0 (0.0%)
machine.handle (parallel/history/choice)	132,667	132,667	0 (0.0%)
machine.handle (4 successive calls)	128,674	128,674	0 (0.0%)
machine exact input/output/error/services	110,584	110,584	0 (0.0%)
execution adapter readiness	127,854	127,854	0 (0.0%)

Marginal instantiations are measured against the matching setup without that API call:

Scenario	Base	PR	Difference
Import effect-machine	0	0	0
Machine.defineStates (3 states)	2,910	2,910	0 (0.0%)
Machine.make (3 states, 2 events)	5,742	5,742	0 (0.0%)
machine.handle (3 states, 2 transitions)	14,777	14,777	0 (0.0%)
machine.handle (depth 8)	109,601	109,601	0 (0.0%)
machine.handle (depth 12)	121,039	121,039	0 (0.0%)
machine.handle (depth 16)	135,181	135,181	0 (0.0%)
machine.handle (depth 24)	171,577	171,577	0 (0.0%)
machine.handle (wide depth 16)	202,224	202,224	0 (0.0%)
machine.handle (parallel/history/choice)	114,331	114,331	0 (0.0%)
machine.handle (4 successive calls)	113,703	113,703	0 (0.0%)
machine exact input/output/error/services	100,670	100,670	0 (0.0%)
execution adapter readiness	102,092	102,092	0 (0.0%)

Check times (informational)

Scenario	Base	PR
Effect only	0.03s	0.04s
Import effect-machine	0.03s	0.03s
Machine.defineStates (3 states)	0.10s	0.11s
Machine.make (3 states, 2 events)	0.17s	0.17s
machine.handle (3 states, 2 transitions)	0.25s	0.26s
machine.handle (depth 8)	0.52s	0.56s
machine.handle (depth 12)	0.58s	0.59s
machine.handle (depth 16)	0.64s	0.65s
machine.handle (depth 24)	0.71s	0.73s
machine.handle (wide depth 16)	0.80s	0.77s
machine.handle (parallel/history/choice)	0.65s	0.65s
machine.handle (4 successive calls)	0.64s	0.59s
machine exact input/output/error/services	0.55s	0.54s
execution adapter readiness	0.61s	0.61s

Type instantiations are the comparison metric. Check time varies with runner load and is informational only.

[github-actions]

Runtime performance

Median of 5 independent benchmark processes on AMD EPYC 7763 64-Core Processor with Node v24.18.0.

Pull request baseline

Scenario	Effect Machine	XState 5	XState 6 alpha
Plan counter transitions	125,288 transitions/s	131,528 transitions/s	13,387 transitions/s
Drain burst with terminal fence	505,054 increments/s	389,376 increments/s	191,883 increments/s
Drain burst with a change observer	472,849 increments/s	387,274 increments/s	191,152 increments/s
Lookup and send to one child	408,851 increments/s	385,214 increments/s	184,446 increments/s
Start and stop a machine	173,581 machines/s	185,185 machines/s	141,183 machines/s
Start and stop a parent with one child	39,638 families/s	68,460 families/s	40,394 families/s
Drain burst through a compound state	530,174 events/s	343,547 events/s	189,417 events/s
Drain burst through two parallel regions	478,433 events/s	259,006 events/s	144,027 events/s

Effect runtime reference points

Scenario	Effect Machine	Effect runtime primitives
Start and stop a raw compiled process	69,750 processes/s	—
Start and interrupt a suspended fiber	—	166,058 fibers/s
Start and stop a queue worker	—	116,877 workers/s
Start and stop an actor shell	—	107,910 actors/s
Start and stop two actor shells	—	64,645 families/s
Update an owner-only mutable snapshot	—	316,856,781 updates/s
Update a synchronized snapshot	—	1,584,809 updates/s
Create, resolve, and await a terminal latch	—	1,451,739 latches/s

Memory profile	Effect Machine	XState 5	XState 6 alpha	Effect runtime primitives
Idle machine	1.5 KiB	3.8 KiB	2.2 KiB	—
Raw generic managed process	12.1 KiB	—	—	—
Raw compiled process	2.6 KiB	—	—	—
Two independent idle machines	3.0 KiB	7.3 KiB	3.9 KiB	—
Idle parent with one child	4.8 KiB	5.5 KiB	4.0 KiB	—
Parent with observed child registry	9.0 KiB	—	—	—
Parent with observed invoked child snapshots	5.0 KiB	—	—	—
Suspended Effect fiber	—	—	—	0.7 KiB
Effect queue with waiting fiber	—	—	—	2.8 KiB
Effect mailbox actor shell	—	—	—	3.2 KiB
Two Effect actor shells	—	—	—	6.9 KiB

Effect Machine change from base

Metric	Base	Base variability	PR	PR variability	Difference
Plan counter transitions	134,227 transitions/s	0.7% MAD	125,288 transitions/s	0.8% MAD	-6.7%
Drain burst with terminal fence	532,812 increments/s	0.7% MAD	505,054 increments/s	1.4% MAD	-5.2%
Drain burst with a change observer	481,527 increments/s	1.1% MAD	472,849 increments/s	2.3% MAD	-1.8%
Lookup and send to one child	406,769 increments/s	1.0% MAD	408,851 increments/s	2.6% MAD	+0.5%
Start and stop a machine	164,177 machines/s	0.2% MAD	173,581 machines/s	2.5% MAD	+5.7%
Start and stop a parent with one child	32,898 families/s	0.8% MAD	39,638 families/s	2.0% MAD	+20.5%
Drain burst through a compound state	507,323 events/s	0.7% MAD	530,174 events/s	0.9% MAD	+4.5%
Drain burst through two parallel regions	465,414 events/s	0.6% MAD	478,433 events/s	1.4% MAD	+2.8%
Idle machine heap per unit	1.5 KiB	0.0% MAD	1.5 KiB	0.0% MAD	+0.0%
Raw generic managed process heap per unit	12.1 KiB	0.1% MAD	12.1 KiB	0.0% MAD	-0.0%
Raw compiled process heap per unit	2.6 KiB	0.1% MAD	2.6 KiB	0.1% MAD	+0.0%
Two independent idle machines heap per unit	3.0 KiB	0.0% MAD	3.0 KiB	0.0% MAD	-0.0%
Idle parent with one child heap per unit	4.8 KiB	0.0% MAD	4.8 KiB	0.0% MAD	-0.0%
Parent with observed child registry heap per unit	9.0 KiB	0.0% MAD	9.0 KiB	0.0% MAD	-0.0%
Parent with observed invoked child snapshots heap per unit	5.1 KiB	0.0% MAD	5.0 KiB	0.1% MAD	-0.1%

Effect runtime reference change from base

Metric	Base	Base variability	PR	PR variability	Difference
Start and stop a raw compiled process	69,075 processes/s	0.1% MAD	69,750 processes/s	1.2% MAD	+1.0%
Start and interrupt a suspended fiber	164,989 fibers/s	1.3% MAD	166,058 fibers/s	0.1% MAD	+0.6%
Start and stop a queue worker	114,325 workers/s	1.4% MAD	116,877 workers/s	0.6% MAD	+2.2%
Start and stop an actor shell	104,954 actors/s	0.3% MAD	107,910 actors/s	1.8% MAD	+2.8%
Start and stop two actor shells	65,885 families/s	0.8% MAD	64,645 families/s	4.3% MAD	-1.9%
Update an owner-only mutable snapshot	316,856,781 updates/s	0.0% MAD	316,856,781 updates/s	0.0% MAD	0.0%
Update a synchronized snapshot	1,523,654 updates/s	2.3% MAD	1,584,809 updates/s	1.1% MAD	+4.0%
Create, resolve, and await a terminal latch	1,459,914 latches/s	2.1% MAD	1,451,739 latches/s	1.0% MAD	-0.6%

Versions and interpretation

• Effect Machine: 0.3.0
• XState 5: 5.32.5
• XState 6 alpha: 6.0.0-alpha.31
• Effect runtime primitives: 4.0.0-beta.107

Higher throughput is better; lower heap is better. Variability is the median absolute deviation across independent processes, relative to their median. Runtime measurements on shared GitHub-hosted hardware remain informational, so small differences should be confirmed across multiple workflow runs.