Benchmarks have been ran with the following versions of modules.

├── async@1.5.2
├── babel@5.8.35
├── davy@1.1.0
├── deferred@0.7.5
├── kew@0.7.0
├── lie@3.0.2
├── neo-async@1.7.3
├── optimist@0.6.1
├── promise@7.1.1
├── q@1.4.1
├── rsvp@3.2.1
├── streamline@2.0.16
├── streamline-runtime@1.0.38
├── text-table@0.2.0
├── vow@0.4.12
└── when@3.7.7

1. DoxBee sequential

This is Gorki Kosev's benchmark used in the article Analysis of generators and other async patterns in node. The benchmark emulates a situation where N=10000 requests are being made concurrently to execute some mixed async/sync action with fast I/O response times.

This is a throughput benchmark.

Every implementation runs in a freshly created isolated process which is warmed up to the benchmark code before timing it. The memory column represents the highest snapshotted RSS memory (as reported by process.memoryUsage().rss) during processing.

Command: ./bench doxbee (needs cloned repository)

The implementations for this benchmark are found in benchmark/doxbee-sequential directory.

results for 10000 parallel executions, 1 ms per I/O op

file                                       time(ms)  memory(MB)
callbacks-baseline.js                            87       24.27
callbacks-suguru03-neo-async-waterfall.js       116       35.96
promises-bluebird-generator.js                  180       38.39
promises-bluebird.js                            209       52.41
promises-cujojs-when.js                         287       70.73
promises-then-promise.js                        293       78.07
promises-tildeio-rsvp.js                        366       91.94
callbacks-caolan-async-waterfall.js             428      103.80
promises-dfilatov-vow.js                        491      135.49
promises-lvivski-davy.js                        503      128.99
generators-tj-co.js                             565      113.61
promises-calvinmetcalf-lie.js                   567      159.27
promises-ecmascript6-native.js                  658      157.39
promises-obvious-kew.js                         676      213.68
promises-medikoo-deferred.js                    850      183.01
observables-pozadi-kefir.js                     975      188.22
observables-Reactive-Extensions-RxJS.js        1208      265.21
streamline-generators.js                       2216      126.47
observables-caolan-highland.js                 4844      537.79
promises-kriskowal-q.js                        4950      380.89
observables-baconjs-bacon.js.js               14924      802.07
streamline-callbacks.js                       38855      197.81

Platform info:
Linux 4.4.0-64-generic x64
Node.JS 7.7.1
V8 5.5.372.41
Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz × 4

2. Parallel

This made-up scenario runs 25 shimmed queries in parallel per each request (N=10000) with fast I/O response times.

This is a throughput benchmark.

Every implementation runs in a freshly created isolated process which is warmed up to the benchmark code before timing it. The memory column represents the highest snapshotted RSS memory (as reported by process.memoryUsage().rss) during processing.

Command: ./bench parallel (needs cloned repository)

The implementations for this benchmark are found in benchmark/madeup-parallel directory.

results for 10000 parallel executions, 1 ms per I/O op

file                                      time(ms)  memory(MB)
callbacks-baseline.js                          200       71.39
callbacks-suguru03-neo-async-parallel.js       289       89.80
promises-bluebird.js                           390      102.95
promises-bluebird-generator.js                 422      110.15
callbacks-caolan-async-parallel.js             502      151.99
promises-cujojs-when.js                        615      166.69
promises-lvivski-davy.js                       863      282.39
promises-then-promise.js                       942      309.98
promises-calvinmetcalf-lie.js                 1272      367.50
promises-tildeio-rsvp.js                      1473      397.67
promises-ecmascript6-native.js                1575      395.60
promises-medikoo-deferred.js                  1839      358.26
promises-dfilatov-vow.js                      2101      551.81
promises-obvious-kew.js                       3562      728.36
streamline-generators.js                     14661     1097.45
streamline-callbacks.js                      28902     1204.92

Platform info:
Linux 4.4.0-64-generic x64
Node.JS 7.7.1
V8 5.5.372.41
Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz × 4

3. Latency benchmarks

For reasonably fast promise implementations latency is going to be fully determined by the scheduler being used and is therefore not interesting to benchmark. JSPerfs that benchmark promises tend to benchmark latency.