STACKQUADRANT

jxzhangjhu/Awesome-LLM-Prompt-Optimization

Prompt Engineering

Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

4.4
GitHub Metrics
Stars
420
Forks
24
Open Issues
3
Watchers
9
Contributors
10
Weekly Commits
0
Language
—
License
—
Last Commit
Oct 20, 2026
Created
Oct 26, 2023
Latest Release
—
Release Date
—
Synced: Oct 27, 2026
Quality Scores
Documentation Qualityw: 20%
4.2

No dedicated docs site. Description: 123 chars. Stars signal: 420. Contributors: 10. Score: 4.2/10

Community Healthw: 20%
4.2

Stars: 420. Contributors: 10. Watchers: 9. Forks: 24. Issue ratio: 0.7%. Score: 4.2/10

Maintenance Velocityw: 15%
5.7

Last commit: 6d ago. Weekly commits: 0. No releases published. Maturity bonus: 3.0y old. Score: 5.7/10

API Design & DXw: 20%
5.9

Stars/issues ratio: 140. No dedicated API docs. No license specified. Popularity signal: 420 stars. Score: 5.9/10

Production Readinessw: 15%
2.7

Battle-tested: 420 stars. Peer review: 10 contributors. No versioned releases. No license (risky for production). Age: 3.0 years. Maintenance: last commit 6d ago. Score: 2.7/10

Ecosystem Integrationw: 10%
2.3

Fork interest: 24. No license (integration risk). Adoption: 420 stars. Score: 2.3/10

Tags
evolution-strategieslarge-language-modelsllm-optimizationllm-optimizerllmsoptimizationpromptprompt-learningprompt-optimizationprompt-tuning
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration