langextract vs HRM
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| langextract | HRM | |
|---|---|---|
| Tagline | Python library for extracting structured information from unstructured text with precise source grounding and interactive visualization. | Hierarchical Reasoning Model Official Release |
| Stars | 37k | 13k |
| Forks | 2.6k | 1.8k |
| Open issues | 106 | 76 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 2, 2026 | Mar 31, 2026 |
| Categories | Data & Retrieval, LLM Frameworks | Evaluation & Observability, LLM Frameworks |
langextract
LangExtract utilizes LLMs to extract detailed, structured data from documents like clinical notes or reports. It supports cloud-based models such as Google Gemini and local open-source models via Ollama interface, ensuring reliability and flexibility across various domains.
Python
HRM
HRM is a brain-inspired hierarchical recurrent architecture that excels in complex reasoning tasks with minimal data and parameters, outperforming larger models on benchmarks like ARC.
Python