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

4.3
GitHub Metrics
Stars
411
Forks
23
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: Jun 29, 2026
Quality Scores
Documentation Qualityw: 20%
4.1

No dedicated docs site. Description: 123 chars. Stars signal: 411. Contributors: 8. Score: 4.1/10

Community Healthw: 20%
3.9

Stars: 411. Contributors: 8. Watchers: 9. Forks: 23. Issue ratio: 0.7%. Score: 3.9/10

Maintenance Velocityw: 15%
5.6

Last commit: 3d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.7y old. Score: 5.6/10

API Design & DXw: 20%
5.9

Stars/issues ratio: 137. No dedicated API docs. No license specified. Popularity signal: 411 stars. Score: 5.9/10

Production Readinessw: 15%
2.7

Battle-tested: 411 stars. Peer review: 8 contributors. No versioned releases. No license (risky for production). Age: 2.7 years. Maintenance: last commit 3d ago. Score: 2.7/10

Ecosystem Integrationw: 10%
2.3

Fork interest: 23. No license (integration risk). Adoption: 411 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