Benchmarks

Policy enforcement overhead is benchmarked in model_b_test.go. Testing environment:

Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz, 2601 Mhz, 4 Core(s), 8 Logical Processor(s)

Results from go test -bench=. -benchmem (op = one Enforce() call, ms = millisecond, KB = kilobytes):

Test case	Rule size	Time overhead (ms/op)	Memory overhead (KB)
ACL	2 rules (2 users)	0.015493	5.649
RBAC	5 rules (2 users, 1 role)	0.021738	7.522
RBAC (small)	1100 rules (1000 users, 100 roles)	0.164309	80.620
RBAC (medium)	11000 rules (10000 users, 1000 roles)	2.258262	765.152
RBAC (large)	110000 rules (100000 users, 10000 roles)	23.916776	7,606
RBAC with resource roles	6 rules (2 users, 2 roles)	0.021146	7.906
RBAC with domains/tenants	6 rules (2 users, 1 role, 2 domains)	0.032696	10.755
ABAC	0 rule (0 user)	0.007510	2.328
RESTful	5 rules (3 users)	0.045398	91.774
Deny-override	6 rules (2 users, 1 role)	0.023281	8.370
Priority	9 rules (2 users, 2 roles)	0.016389	5.313

Policy enforcement overhead in Pycasbin is benchmarked in tests/benchmarks. Testing environment:

Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz (Run by Github actions)
platform linux -- Python 3.11.4, pytest-7.0.1, pluggy-1.2.0

Results from executing casbin_benchmark (op = one enforce() call, ms = millisecond):

Policy enforcement overhead in Casbin CPP is benchmarked in tests/benchmarks using Google's benchmarking tool. Testing environment:

Intel(R) Core(TM) i5-6300HQ CPU @ 2.30GHz, 4 cores, 4 threads

Results from executing the casbin_benchmark target built in Release configuration (op = one enforce() call, ms = millisecond):

Policy enforcement overhead in Lua Casbin is benchmarked in bench.lua. Testing environment:

AMD Ryzen(TM) 5 4600H CPU @ 3.0GHz, 6 Cores, 12 Threads

Results from running luajit bench.lua (op = one enforce() call, ms = millisecond):

Benchmark monitoring

The embedded page below displays Casbin's performance across commits.