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@ -1,13 +1,13 @@
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# UN Inception: Aggregated Performance Analysis
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**Analysis Date:** 1769202990.8940048
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**Reports Analyzed:** 4.2.0, 4.2.10, 4.2.11, 4.2.12, 4.2.13, 4.2.14, 4.2.15, 4.2.16, 4.2.17, 4.2.18, 4.2.19, 4.2.20, 4.2.21, 4.2.3, 4.2.4, 4.2.5, 4.2.6, 4.2.7, 4.2.8, 4.2.9
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**Analysis Date:** 1769203039.9327624
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**Reports Analyzed:** 4.2.20, 4.2.21
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---
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## Executive Summary
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Analysis of 20 performance reports reveals **significant variance** in execution metrics across releases. Different languages rank as slowest/fastest in different runs, indicating **non-deterministic execution patterns** likely caused by:
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Analysis of 2 performance reports reveals **significant variance** in execution metrics across releases. Different languages rank as slowest/fastest in different runs, indicating **non-deterministic execution patterns** likely caused by:
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1. **Orchestrator placement on CPU-bound pool** (not an SRE best practice)
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2. **Resource contention** between the orchestrator & test jobs
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@ -22,26 +22,8 @@ Analysis of 20 performance reports reveals **significant variance** in execution
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| Release | Avg Duration | Slowest | Fastest | Change from Previous |
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|---------|--------------|---------|---------|----------------------|
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| 4.2.0 | 33s | raku (93s) | ocaml (19s) | baseline |
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| 4.2.10 | 153s | scheme (320s) | bash (29s) | +120s (+363.6%) |
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| 4.2.11 | 103s | deno (289s) | cpp (43s) | -50s (-32.7%) |
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| 4.2.12 | 142s | go (406s) | erlang (21s) | +39s (+37.9%) |
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| 4.2.13 | 126s | deno (290s) | haskell (23s) | -16s (-11.3%) |
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| 4.2.14 | 97s | javascript (172s) | go (38s) | -29s (-23.0%) |
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| 4.2.15 | 103s | d (203s) | cobol (49s) | +6s (+6.2%) |
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| 4.2.16 | 98s | javascript (361s) | c (40s) | -5s (-4.9%) |
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| 4.2.17 | 104s | ruby (270s) | objc (17s) | +6s (+6.1%) |
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| 4.2.18 | 100s | r (298s) | scheme (48s) | -4s (-3.8%) |
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| 4.2.19 | 151s | lua (472s) | dart (40s) | +51s (+51.0%) |
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| 4.2.20 | 114s | java (272s) | crystal (49s) | -37s (-24.5%) |
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| 4.2.20 | 114s | java (272s) | crystal (49s) | baseline |
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| 4.2.21 | 102s | nim (215s) | erlang (22s) | -12s (-10.5%) |
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| 4.2.3 | 63s | rust (142s) | v (40s) | -39s (-38.2%) |
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| 4.2.4 | 70s | python (110s) | c (23s) | +7s (+11.1%) |
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| 4.2.5 | 67s | v (114s) | erlang (44s) | -3s (-4.3%) |
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| 4.2.6 | 54s | haskell (128s) | awk (23s) | -13s (-19.4%) |
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| 4.2.7 | 117s | typescript (319s) | dotnet (5s) | +63s (+116.7%) |
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| 4.2.8 | 111s | kotlin (313s) | fortran (28s) | -6s (-5.1%) |
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| 4.2.9 | 107s | ruby (279s) | d (19s) | -4s (-3.6%) |
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**Observation:** Average duration increased **0.0%** from 0s to 0s.
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@ -57,120 +39,30 @@ This **2-3x variance** is NOT normal for identical workloads. Indicates:
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The same language changes dramatically in rank between runs:
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**PERL:**
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- 4.2.0: 26s
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- 4.2.10: 105s
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- 4.2.11: 58s
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- 4.2.12: 55s
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- 4.2.13: 108s
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- 4.2.14: 140s
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- 4.2.15: 64s
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- 4.2.16: 82s
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- 4.2.17: 38s
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- 4.2.18: 93s
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- 4.2.19: 468s
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- 4.2.20: 191s
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- 4.2.21: 104s
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- 4.2.3: 66s
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- 4.2.4: 77s
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- 4.2.5: 53s
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- 4.2.6: 44s
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- 4.2.7: 155s
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- 4.2.8: 91s
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- 4.2.9: 158s
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- **Range:** 26s → 468s (1700.0% variance)
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**COBOL:**
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- 4.2.20: 198s
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- 4.2.21: 62s
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- **Range:** 62s → 198s (219.4% variance)
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**LUA:**
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- 4.2.0: 32s
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- 4.2.10: 51s
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- 4.2.11: 56s
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- 4.2.12: 53s
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- 4.2.13: 203s
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- 4.2.14: 127s
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- 4.2.15: 166s
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- 4.2.16: 242s
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- 4.2.17: 40s
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- 4.2.18: 73s
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- 4.2.19: 472s
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- 4.2.20: 133s
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- 4.2.21: 183s
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- 4.2.3: 63s
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- 4.2.4: 71s
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- 4.2.5: 52s
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- 4.2.6: 36s
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- 4.2.7: 152s
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- 4.2.8: 84s
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- 4.2.9: 56s
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- **Range:** 32s → 472s (1375.0% variance)
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**AWK:**
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- 4.2.20: 145s
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- 4.2.21: 33s
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- **Range:** 33s → 145s (339.4% variance)
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**JAVA:**
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- 4.2.0: 36s
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- 4.2.10: 122s
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- 4.2.11: 133s
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- 4.2.12: 116s
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- 4.2.13: 240s
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- 4.2.14: 105s
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- 4.2.15: 60s
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- 4.2.16: 52s
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- 4.2.17: 84s
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- 4.2.18: 92s
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- 4.2.19: 423s
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- 4.2.20: 272s
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**NIM:**
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- 4.2.20: 103s
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- 4.2.21: 215s
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- **Range:** 103s → 215s (108.7% variance)
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**TYPESCRIPT:**
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- 4.2.20: 138s
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- 4.2.21: 39s
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- **Range:** 39s → 138s (253.8% variance)
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**CPP:**
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- 4.2.20: 107s
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- 4.2.21: 204s
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- 4.2.3: 67s
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- 4.2.4: 57s
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- 4.2.5: 62s
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- 4.2.6: 70s
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- 4.2.7: 33s
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- 4.2.8: 45s
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- 4.2.9: 219s
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- **Range:** 33s → 423s (1181.8% variance)
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**CRYSTAL:**
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- 4.2.0: 24s
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- 4.2.10: 89s
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- 4.2.11: 90s
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- 4.2.12: 397s
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- 4.2.13: 158s
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- 4.2.14: 87s
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- 4.2.15: 74s
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- 4.2.16: 273s
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- 4.2.17: 55s
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- 4.2.18: 101s
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- 4.2.19: 100s
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- 4.2.20: 49s
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- 4.2.21: 76s
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- 4.2.3: 61s
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- 4.2.4: 60s
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- 4.2.5: 88s
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- 4.2.6: 28s
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- 4.2.7: 260s
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- 4.2.8: 44s
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- 4.2.9: 221s
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- **Range:** 24s → 397s (1554.2% variance)
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**GROOVY:**
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- 4.2.0: 23s
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- 4.2.10: 151s
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- 4.2.11: 90s
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- 4.2.12: 393s
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- 4.2.13: 39s
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- 4.2.14: 93s
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- 4.2.15: 69s
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- 4.2.16: 44s
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- 4.2.17: 151s
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- 4.2.18: 150s
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- 4.2.19: 115s
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- 4.2.20: 75s
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- 4.2.21: 75s
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- 4.2.3: 60s
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- 4.2.4: 59s
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- 4.2.5: 70s
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- 4.2.6: 40s
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- 4.2.7: 36s
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- 4.2.8: 41s
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- 4.2.9: 98s
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- **Range:** 23s → 393s (1608.7% variance)
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- **Range:** 107s → 204s (90.7% variance)
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---
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@ -179,49 +71,13 @@ The same language changes dramatically in rank between runs:
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**Fastest Languages by Run:**
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4.2.0: ocaml, tcl, elixir, csharp, cobol
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4.2.10: bash, powershell, erlang, ruby, typescript
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4.2.11: cpp, forth, lua, typescript, ruby
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4.2.12: erlang, php, python, javascript, haskell
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4.2.13: haskell, v, groovy, nim, kotlin
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4.2.14: go, cpp, powershell, erlang, typescript
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4.2.15: cobol, csharp, ocaml, objc, kotlin
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4.2.16: cpp, c, raku, awk, groovy
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4.2.17: objc, python, erlang, csharp, perl
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4.2.18: scheme, tcl, fortran, c, raku
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4.2.19: dart, python, typescript, javascript, dotnet
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4.2.20: crystal, v, deno, r, csharp
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4.2.21: erlang, r, ruby, awk, typescript
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4.2.3: v, d, kotlin, awk, raku
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4.2.4: c, d, cobol, raku, v
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4.2.5: erlang, awk, bash, deno, tcl
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4.2.6: awk, powershell, crystal, raku, erlang
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4.2.7: dotnet, deno, awk, fortran, commonlisp
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4.2.8: fortran, groovy, crystal, java, powershell
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4.2.9: d, julia, csharp, v, objc
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**Slowest Languages by Run:**
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4.2.0: raku, javascript, cpp, rust, go
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4.2.10: scheme, clojure, deno, c, julia
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4.2.11: deno, awk, erlang, elixir, clojure
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4.2.12: go, crystal, groovy, deno, awk
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4.2.13: deno, raku, awk, cpp, java
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4.2.14: javascript, python, php, bash, elixir
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4.2.15: d, cpp, ruby, bash, lua
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4.2.16: javascript, clojure, crystal, lua, fsharp
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4.2.17: ruby, typescript, php, cobol, commonlisp
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4.2.18: r, go, elixir, rust, forth
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4.2.19: lua, perl, java, ruby, powershell
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4.2.20: java, zig, cobol, perl, haskell
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4.2.21: nim, dart, java, cpp, rust
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4.2.3: rust, c, python, typescript, javascript
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4.2.4: python, javascript, elixir, scheme, bash
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4.2.5: v, haskell, scheme, ocaml, powershell
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4.2.6: haskell, go, cpp, rust, forth
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4.2.7: typescript, ruby, r, elixir, crystal
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4.2.8: kotlin, python, javascript, tcl, raku
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4.2.9: ruby, deno, rust, crystal, java
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**Conclusion:** No consistent "fast" or "slow" languages across runs. This proves:
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- Execution order is random or system-dependent
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@ -303,25 +159,25 @@ If concurrency was fixed at N parallel jobs:
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### Most Variable Languages
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PERL: 26s → 468s (+1700.0%)
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COBOL: 62s → 198s (+219.4%)
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LUA: 32s → 472s (+1375.0%)
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AWK: 33s → 145s (+339.4%)
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JAVA: 33s → 423s (+1181.8%)
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NIM: 103s → 215s (+108.7%)
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CRYSTAL: 24s → 397s (+1554.2%)
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TYPESCRIPT: 39s → 138s (+253.8%)
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GROOVY: 23s → 393s (+1608.7%)
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CPP: 107s → 204s (+90.7%)
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GO: 38s → 406s (+968.4%)
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PERL: 104s → 191s (+83.7%)
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JAVASCRIPT: 32s → 361s (+1028.1%)
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BASH: 104s → 186s (+78.8%)
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SCHEME: 24s → 320s (+1233.3%)
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DART: 127s → 208s (+63.8%)
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ELIXIR: 20s → 313s (+1465.0%)
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RAKU: 83s → 154s (+85.5%)
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TYPESCRIPT: 29s → 319s (+1000.0%)
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FORTH: 73s → 142s (+94.5%)
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These languages are most affected by resource contention. Likely reasons:
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@ -374,26 +230,26 @@ Keep it as-is for stress testing, but in separate test environment.
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| Language | Min (s) | Max (s) | Avg (s) | Range (s) | Variance % |
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|----------|---------|---------|---------|-----------|------------|
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| DOTNET | 5 | 125 | 79.5 | 120 | 2400.0% |
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| PERL | 26 | 468 | 108.8 | 442 | 1700.0% |
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| GROOVY | 23 | 393 | 93.6 | 370 | 1608.7% |
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| CRYSTAL | 24 | 397 | 116.8 | 373 | 1554.2% |
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| ELIXIR | 20 | 313 | 117.7 | 293 | 1465.0% |
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| CLOJURE | 21 | 310 | 110.0 | 289 | 1376.2% |
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| LUA | 32 | 472 | 117.2 | 440 | 1375.0% |
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| COBOL | 20 | 290 | 99.8 | 270 | 1350.0% |
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| SCHEME | 24 | 320 | 104.2 | 296 | 1233.3% |
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| PYTHON | 19 | 253 | 88.8 | 234 | 1231.6% |
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| AWK | 23 | 306 | 115.8 | 283 | 1230.4% |
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| OBJC | 17 | 223 | 88.8 | 206 | 1211.8% |
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| R | 24 | 313 | 112.9 | 289 | 1204.2% |
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| DENO | 24 | 310 | 124.8 | 286 | 1191.7% |
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| JAVA | 33 | 423 | 124.6 | 390 | 1181.8% |
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| OCAML | 19 | 240 | 96.7 | 221 | 1163.2% |
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|
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| TCL | 20 | 247 | 92.2 | 227 | 1135.0% |
|
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|
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| C | 23 | 276 | 95.8 | 253 | 1100.0% |
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| CSHARP | 20 | 235 | 84.2 | 215 | 1075.0% |
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|
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| KOTLIN | 27 | 313 | 100.0 | 286 | 1059.3% |
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|
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| AWK | 33 | 145 | 89.0 | 112 | 339.4% |
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| ERLANG | 22 | 79 | 50.5 | 57 | 259.1% |
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| TYPESCRIPT | 39 | 138 | 88.5 | 99 | 253.8% |
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| COBOL | 62 | 198 | 130.0 | 136 | 219.4% |
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| RUBY | 30 | 89 | 59.5 | 59 | 196.7% |
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| R | 24 | 57 | 40.5 | 33 | 137.5% |
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| V | 56 | 121 | 88.5 | 65 | 116.1% |
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| CSHARP | 58 | 123 | 90.5 | 65 | 112.1% |
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| NIM | 103 | 215 | 159.0 | 112 | 108.7% |
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| JAVASCRIPT | 42 | 87 | 64.5 | 45 | 107.1% |
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| PYTHON | 43 | 88 | 65.5 | 45 | 104.7% |
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| FORTH | 73 | 142 | 107.5 | 69 | 94.5% |
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| CPP | 107 | 204 | 155.5 | 97 | 90.7% |
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| C | 76 | 144 | 110.0 | 68 | 89.5% |
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| RAKU | 83 | 154 | 118.5 | 71 | 85.5% |
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| PERL | 104 | 191 | 147.5 | 87 | 83.7% |
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| BASH | 104 | 186 | 145.0 | 82 | 78.8% |
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| FSHARP | 73 | 125 | 99.0 | 52 | 71.2% |
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| DART | 127 | 208 | 167.5 | 81 | 63.8% |
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| CRYSTAL | 49 | 76 | 62.5 | 27 | 55.1% |
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---
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@ -448,26 +304,8 @@ Individual Reports → Aggregation Script → Chart Generation (via UN) → Fina
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### Data Sources
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**Input Files:**
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- `reports/4.2.0/perf.json` - 642 tests, generated 2026-01-18T23:20:51Z
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- `reports/4.2.10/perf.json` - 673 tests, generated 2026-01-23T11:46:18Z
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- `reports/4.2.11/perf.json` - 669 tests, generated 2026-01-23T12:14:08Z
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- `reports/4.2.12/perf.json` - 665 tests, generated 2026-01-23T13:30:32Z
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- `reports/4.2.13/perf.json` - 673 tests, generated 2026-01-23T14:19:49Z
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- `reports/4.2.14/perf.json` - 661 tests, generated 2026-01-23T14:48:26Z
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- `reports/4.2.15/perf.json` - 657 tests, generated 2026-01-23T15:14:36Z
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- `reports/4.2.16/perf.json` - 665 tests, generated 2026-01-23T15:25:53Z
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- `reports/4.2.17/perf.json` - 665 tests, generated 2026-01-23T15:34:55Z
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- `reports/4.2.18/perf.json` - 665 tests, generated 2026-01-23T16:05:03Z
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- `reports/4.2.19/perf.json` - 701 tests, generated 2026-01-23T20:20:06Z
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- `reports/4.2.20/perf.json` - 685 tests, generated 2026-01-23T20:41:23Z
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- `reports/4.2.21/perf.json` - 661 tests, generated 2026-01-23T21:16:07Z
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- `reports/4.2.3/perf.json` - 642 tests, generated 2026-01-19T11:58:45Z
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- `reports/4.2.4/perf.json` - 682 tests, generated 2026-01-19T12:02:14Z
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- `reports/4.2.5/perf.json` - 658 tests, generated 2026-01-19T19:10:23Z
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- `reports/4.2.6/perf.json` - 642 tests, generated 2026-01-19T20:22:16Z
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- `reports/4.2.7/perf.json` - 631 tests, generated 2026-01-23T09:36:18Z
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- `reports/4.2.8/perf.json` - 645 tests, generated 2026-01-23T10:01:33Z
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- `reports/4.2.9/perf.json` - 645 tests, generated 2026-01-23T10:05:34Z
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|
Each `perf.json` contains:
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|
@ -664,5 +502,5 @@ For questions about this methodology or to report issues:
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---
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|
**Generated by UN Inception Performance Analysis Pipeline**
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|
**Analysis Date:** 2026-01-23T16:16:31.013605
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|
**Analysis Date:** 2026-01-23T16:21:28.533747
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**Report Version:** 1.0.0
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