More example recipes¶

Browse the figure gallery for previews. For step-by-step instructions, start with your first figure or a figure from CSV. This page lists standalone scripts.

These figures link to executable source in the repository. Commands below run from a checkout with Inklet installed. Review bundles need the preview dependencies; add --vectors-only where supported to save only SVG/PDF.

Related studies and variants¶

The main figure gallery keeps one card for each distinct goal. These source routes remain available here as focused variants and recorded studies; they are grouped to keep the page useful as a source index.

Layout and rendering studies: save and restore layouts, local layout editor, reusable plot compositions, dense plot engine review, rendering and nested layout, render jobs, and the twenty-panel stress test.

Microscopy variants: fluorescence channels, slab projections and oblique sections.

Anatomy variants: label an open anatomy model and the community connectivity plate.

3D scene studies: scene templates, scene annotations, scene paths, label movement revision, label crossing study, and the figure planner study.

Showcase and configuration variants: architectural sketch, direct plot collection, and presets.

A complete live document¶

The v2.5 example combines nested grids, measured architecture modules, plots, publication defaults and live data.

inklet build examples/v25_document.py --output out/v25 --name document

Start here when adapting Inklet for your own multi-panel figure. The smaller v2 example focuses on datasets and shared scales.

Twenty-panel stress test¶

Native 3D, a measured architecture, network, dense scatter, statistical charts, polar response, Sankey flow and vector events share one page. The data are simulated and the meshes are generated locally.

python tools/stress20.py

Source · Workload, checks and findings

This command also exercises edits, cached compilation, provenance, resizing and independent SVG/PDF rendering. It takes longer than the small examples.

Direct drawing examples¶

These use the direct API and may save next to their source scripts. Their output paths are defined in the scripts; they are not all CLI factory modules. The repository gallery lists additional figures and assets.

Scientific examples¶

The neural-activity example combines learning curves, a spike raster, a peri-event histogram and endpoint statistics. All observations are simulated from fixed seeds.

python figures/neural_activity.py

The structure figure draws the EGFR kinase from PDB 1M17 beside explicitly simulated assay data. See the third-party notices for the structure data and meshes.

Plot collection¶

Run python examples/gallery.py from a checkout. Source.

Methods flow¶

Run python figures/showcase_process.py. Source.

Time series and heatmap¶

Run python figures/showcase_season.py. Source.

Labelled 3D part¶

Run python figures/showcase_part.py. Source.

Polar response¶

Run python examples/polar.py. Source.