Results for “electronic-lab-notebook”

Create, scaffold, and edit Jupyter notebooks for experiments, exploratory analysis, or tutorials using bundled templates and a helper script.

Self-host an open-source research notebook with AI-powered note generation, multi-speaker podcast creation, and context-aware document chat, supporting 16+ AI providers.

Create, review, debug, test, or reproduce Python Jupyter notebooks by inspecting format, executing cells top-to-bottom in a clean kernel, and verifying outputs.

Guides creating clean, reproducible Jupyter notebooks with structured workflows, best practices, and IPython magic for analysis and presentation.

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Restores and normalizes footnotes/endnotes in books by extracting from PDF/EPUB, matching anchors, staging markers, and compiling to HTML with assertions.

Create publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting using matplotlib, seaborn, and plotly.

Access and manage LabArchives electronic lab notebooks programmatically via REST API. Create entries, upload attachments, backup notebooks, generate reports, and integrate with Protocols.io, Jupyter, REDCap, and other scientific tools.