microsoft/poml
Prompt Orchestration Markup Language
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 430 days ago, with 11 contributors on GitHub.
Peaked at #74 in the weekly ranking the week of Sep 7, its best in the past year.
Use Cases & Benefits
- Defines a markup language to structure, orchestrate, and style prompts for large language models using semantic components and templating.
- Enables modular, maintainable, and format-flexible prompt engineering with integrated tooling and SDKs for seamless LLM integration.
- Use for building complex, data-driven prompts that embed diverse data types like images, tables, and documents in LLM applications.
- Use for developing and testing prompts interactively within Visual Studio Code using syntax highlighting, diagnostics, and real-time previews.
- Use for integrating prompt orchestration into Node.js or Python workflows to automate and optimize LLM prompt generation and formatting.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- No commits in the last six months (last push Jan 2026).
General guidance from repository metadata, not legal advice. How we score
From the README
POML (Prompt Orchestration Markup Language) is a novel markup language designed to bring structure, maintainability, and versatility to advanced prompt engineering for Large Language Models (LLMs). It addresses common challenges in prompt development, such as lack of structure, complex data integration, format sensitivity, and inadequate tooling. POML provides a systematic way to organize prompt components, integrate diverse data types seamlessly, and manage presentation variations, empowering developers to create more sophisticated and reliable LLM applications.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
254+7
Open issues
58+1
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| microsoft/poml | 5.0K | — | 22 | 430 days ago |
| Category median | 113.6K | +5.5K | 60 | — |
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