LoopBench
The public scoreboard for loop engineering.
Fixed tasks. Fixed seeds. Observed LES. Submissions anyone can audit.
No hand-waved demos — bring an LSS spec, get a number, climb the leaderboard.
pip install "le-loopforge>=0.2.0" "le-loopctl>=0.1.0" loopbench loopgym
loopbench list
loopbench suite list
Run your first score · Live leaderboard · Loop Playground · Leaderboard JSON · Suite overview
What LoopBench measures
You submit a loop specification (LSS YAML). LoopBench:
- Runs it through LoopGym on fixed task instances
- Computes Success@k and LES_obs across eight categories
- Validates your
results.jsonagainst a published schema - Ranks you on the public leaderboard — generalist (grand composite) is the primary rank
loopbench run --suite suite-repair --spec your-loop.yaml --seeds 0,1,2,3,4 -o results.json
loopbench validate results.json
loopbench rank leaderboard/entries.json
loopbench rank leaderboard/entries.json --suite suite-repair
The measurement stack
flowchart LR
YOU["Your LSS spec"]
LB["LoopBench<br/>tasks · scoring · conformance"]
LG["LoopGym<br/>SimEnv execution"]
OUT["results.json → leaderboard"]
YOU --> LB
LB --> LG
LG --> LB
LB --> OUT
| Layer | Owns | Repo |
|---|---|---|
| Spec | LSS schema, LES formulas | Loop Core Engineering |
| Data | Trajectories (holdout v0.2) | LoopNet |
| Runtime | env.run_episode() |
LoopGym |
| Observability | LTF traces, iteration metrics | loop-observability |
| Measurement | Tasks, LES_obs, anti-gaming | LoopBench |
LoopBench defines and scores. LoopGym runs. Never the other way around.
New to the stack? Start with the LoopNet end-to-end tutorial.
Suites and tasks (v0.2)
19 micro-tasks feed 4 comparison suites. Primary leaderboard rank = generalist (mean of suite scores).
| Suite ID | Label | Micro-tasks |
|---|---|---|
suite-repair |
Repair & Verify | LB-CR-1, LB-REACT-1, LB-REFLEX-1, LB-OPT-1, LB-SAFE-1 |
suite-agent |
Multi-Agent | LB-MA-1, LB-CREW-1, LB-GRAPH-1, LB-TOT-1, LB-VOTE-1 |
suite-knowledge |
Research & RAG | LB-RS-1, LB-RAG-1, LB-BOOT-1, LB-AUTO-1 |
suite-rigor |
Composition & Safety | LB-COMP-1, LB-NEST-1, LB-SIM-1, LB-HITL-1, LB-MEM-1 |
loopbench suite list
loopbench run --suite suite-repair --spec your-loop.yaml --seeds 0,1,2,3,4 -o results.json
loopbench run --task LB-CR-1 --spec your-loop.yaml --seeds 0,1,2,3,4 -o results.json
Full catalog in tasks/index.yaml and SUITE-OVERVIEW.md.
Live leaderboard
Live board (updated 2026-06-25) — full rankings
Generalist:
- Loop Engineering maintainer — LES 86.7
- Loop Engineering maintainer (MA-1) — LES 86.5
- Team Thorough — LES 86.4
Validate and reproduce
Post your 60-minute reproduction report on the reproduction challenge after REPRODUCE.md.
Beat maintainer LES (good-first #4)
One command: BEAT_LB-CR-1.md — target LES_obs ≥ 86.7 on LB-CR-1.
Also: BEAT_LB-RS-1.md (81.9) · BEAT_LB-MA-1.md (86.5) · BEAT_LB-COMP-1.md (80.3)
pip install "le-loopforge>=0.2.0" "le-loopctl>=0.1.0" "loopbench>=0.2.0" "loopgym>=0.1.2"
# see BEAT_LB-CR-1.md for full clone + run + submit
Score in 2 minutes
pip install "le-loopforge>=0.2.0" "le-loopctl>=0.1.0" loopbench loopgym
loopbench suite list
loopbench run \
--suite suite-repair \
--spec submissions/examples/spec-fast-loop.yaml \
--seeds 0,1,2,3,4 \
-o results.json
loopbench validate results.json
loopbench rank results.json
Submit to the leaderboard: open a PR adding your entry to leaderboard/entries.json.
v0.2 accepts SimEnv submissions (fully reproducible, no API keys). LiveEnv tier is optional.
Metrics explained
| Metric | Meaning |
|---|---|
| Success@k | Fraction of instances reaching goal threshold |
| LES_obs | Observed composite ∈ [0, 1] — eight categories |
| Grand composite | Mean of 4 suite scores — generalist rank |
| Cost | Estimated USD from LSS cost limits |
| Robustness | Quality retention across seeds |
Display scale 0–100 is optional (les × 100).
Who this is for
| You are… | LoopBench gives you… |
|---|---|
| Loop designer | A number you can improve release-over-release |
| Framework author | A neutral arena — not your own benchmark |
| Researcher | Reproducible tasks + published submission schema |
| Team lead | Comparable scores across designs and vendors |
Citation
@software{loopbench2026,
title={LoopBench: Benchmark Suite for Loop Engineering},
author={Malpani, Kanak},
year={2026},
url={https://pypi.org/project/loopbench/}
}
MIT · v0.2 · Contributing · Security · Status
Release files for loopbench 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| loopbench-0.2.0.tar.gz | 136.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| loopbench-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.0 kB
Release files / loopbench-0.2.0.tar.gz
| Download URL | loopbench-0.2.0.tar.gz |
|---|---|
| Size | 136.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f148917ec401fcdb45adfae6dc41a5ef1dbcadae4536907d1cee95ab1a869da5
|
|
BLAKE2b-256 checksum How to use checksums |
2b22c0151cd3b347dd6469172319c65f2fe5b72c4c49cb4982be113a6e9d5971
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / loopbench-0.2.0-py3-none-any.whl
| Download URL | loopbench-0.2.0-py3-none-any.whl |
|---|---|
| Size | 36.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2343b159d1c2383af22c661b9f6832ec38a7aa4b6485cc8df6d90d3e18813df3
|
|
BLAKE2b-256 checksum How to use checksums |
942bedde026239f2872a2930253a897b286cf1226d2bfd3ced777fbfb4f2bc35
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|