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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

4.1
GitHub Metrics
Stars
416
Forks
24
Open Issues
3
Watchers
9
Contributors
8
Weekly Commits
0
Language
License
Last Commit
Jun 26, 2026
Created
Oct 26, 2023
Latest Release
Release Date
Synced: Aug 28, 2026
Quality Scores
Documentation Qualityw: 20%
4.1

No dedicated docs site. Description: 123 chars. Stars signal: 416. Contributors: 8. Score: 4.1/10

Community Healthw: 20%
4.0

Stars: 416. Contributors: 8. Watchers: 9. Forks: 24. Issue ratio: 0.7%. Score: 4/10

Maintenance Velocityw: 15%
4.9

Last commit: 63d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.8y old. Score: 4.9/10

API Design & DXw: 20%
5.9

Stars/issues ratio: 139. No dedicated API docs. No license specified. Popularity signal: 416 stars. Score: 5.9/10

Production Readinessw: 15%
2.3

Battle-tested: 416 stars. Peer review: 8 contributors. No versioned releases. No license (risky for production). Age: 2.8 years. Maintenance: last commit 63d ago. Score: 2.3/10

Ecosystem Integrationw: 10%
2.3

Fork interest: 24. No license (integration risk). Adoption: 416 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