executor▌

Execute arbitrary Python code in a sandboxed environment with 100+ pre-installed libraries. \n \n Supports data processing (NumPy, Pandas, SciPy), web scraping (requests, BeautifulSoup, Selenium, Playwright), and image/video manipulation (Pillow, OpenCV, MoviePy) \n Includes 3D model processing (trimesh, open3d), PDF generation (reportlab, pypdf2), and SVG creation (svgwrite, cairosvg) \n Configurable timeout (1–300 seconds), output capture, and working directory; optional high-memory variant (1

ln-401-task-executor

python-executor

Multi-phase investment due diligence engine executing 8-stage research framework with parallel agent deployment. \n \n Executes structured 8-phase research process covering business foundation, industry analysis, business breakdown, financial quality, governance, market sentiment, valuation, and synthesis \n Deploys multiple research agents in parallel across phases for efficiency, with mandatory cross-validation of profit vs. cash flow, peer comparisons, and bear case analysis \n Generates comp

ln-400-story-executor

ln-404-test-executor