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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

4.0
GitHub Metrics
Stars
408
Forks
21
Open Issues
4
Watchers
9
Contributors
4
Weekly Commits
0
Language
License
Last Commit
May 11, 2026
Created
Oct 26, 2023
Latest Release
Release Date
Synced: Jun 3, 2026
Quality Scores
Documentation Qualityw: 20%
3.7

No dedicated docs site. Description: 123 chars. Stars signal: 408. Contributors: 4. Score: 3.7/10

Community Healthw: 20%
3.3

Stars: 408. Contributors: 4. Watchers: 9. Forks: 21. Issue ratio: 1.0%. Score: 3.3/10

Maintenance Velocityw: 15%
5.4

Last commit: 23d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.6y old. Score: 5.4/10

API Design & DXw: 20%
5.8

Stars/issues ratio: 102. No dedicated API docs. No license specified. Popularity signal: 408 stars. Score: 5.8/10

Production Readinessw: 15%
2.6

Battle-tested: 408 stars. Peer review: 4 contributors. No versioned releases. No license (risky for production). Age: 2.6 years. Maintenance: last commit 23d ago. Score: 2.6/10

Ecosystem Integrationw: 10%
2.3

Fork interest: 21. No license (integration risk). Adoption: 408 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
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