# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Resources for Full-stack / Indie or ML / AI or Research / Academia, Tagged `data-visualization`: 14 items.

> - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration.
> - ML / AI: Model training, evaluation and LLM application development.
> - Research / Academia: Literature search and reviews, experimental data analysis, paper writing and submission.

- [Archify](https://hebbmind.com/skill/archify.md): [Skill] Turns natural-language descriptions, Mermaid or a real code repo into interactive single-file HTML diagrams: architecture, flowcharts, sequence diagrams, data flows and state machines. Validates output automatically and exports PNG or SVG.
- [Diagram Design](https://hebbmind.com/skill/diagram-design.md): [Skill] Generates self-contained HTML+SVG diagrams in an editorial style: architecture, flowcharts, sequence, swimlane, Gantt and dozens more types. Can match brand colors from a website and redraw imported Mermaid, draw.io and Excalidraw sources.
- [Playground](https://hebbmind.com/plugin/playground.md): [Plugin] Has the agent build single-file HTML interactive playgrounds: visual controls on one side, live preview on the other, and a prompt to copy back into Claude. Templates for design tuning, data exploration, concept maps, doc annotation, code review and architecture diagrams. By Anthropic.
- [Datasette](https://hebbmind.com/cli/datasette.md): [CLI] Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+.
- [visual-explainer](https://hebbmind.com/plugin/visual-explainer.md): [Plugin] Turns terminal output like architecture explanations, diff reviews and plan comparisons into styled HTML pages or slides with zoomable interactive Mermaid diagrams, replacing hard-to-read ASCII diagrams and tables. No build step; open directly in a browser.
- [visual-explainer](https://hebbmind.com/skill/visual-explainer.md): [Skill] Turns architecture explanations, diff reviews, plan reviews and data comparisons into self-contained HTML pages or slides with Mermaid diagrams and light and dark themes, replacing ASCII diagrams in the terminal.
- [Scientific Figure Making](https://hebbmind.com/skill/scientific-figure-making.md): [Skill] Publication-quality matplotlib plotting skill from a Yale PhD student: bar charts, trends, heatmaps and multi-panel figures with consistent fonts, colors and export settings, plus real plotting scripts from papers published in venues like Nature Machine Intelligence. Needs Python.
- [Build Web Data Visualization](https://hebbmind.com/skill/openai-openai-skills.md): [Skill] OpenAI's official set of 18 web data visualization skills: chart selection and critique, D3, Canvas, Three.js, maps, statistical uncertainty, live dashboards, Gantt charts, UML and scrollytelling. Ships with a Codex plugin; installed alone, the plugin-level references are missing.
- [YouPlot](https://hebbmind.com/cli/youplot.md): [CLI] Draws bar charts, histograms, line charts, scatter plots and box plots in the terminal from CSV/TSV on stdin, so you can glance at data distributions at the end of a shell pipeline. The command is uplot.
- [PaperBanana](https://hebbmind.com/mcp/paperbanana.md): [MCP] Turns a paper's method description (text or PDF) or data files into publication-ready diagrams and plots, with several AI reviewer roles refining each figure. Needs an OpenAI or Gemini API key (billed per image), Python and uv. A community reimplementation, not by the original paper's authors.
- [Math Modeling Skill](https://hebbmind.com/skill/math-modeling-skill.md): [Skill] A three-stage workflow for math modeling contests like MCM/ICM and CUMCM: analysis, solving and plotting in Python or MATLAB, and a Word (optionally LaTeX) paper, with stage-check subagents and OpenAlex plus AnySearch literature search. Generated papers are for reference only.
- [Mirobody](https://hebbmind.com/mcp/mirobody.md): [MCP] Self-hosted engine that maps lab results, checkup reports and wearable data to standard metrics so agents can chart trends, citing the source file for every number. uvx mirobody mcp gives the coding tools; full records need Docker and an LLM API key. A doctor should review results.
- [Paper Plot Skills](https://hebbmind.com/skill/paper-plot-skills.md): [Skill] Plotting skills for academic papers: bar, line, scatter, radar and other styles distilled from 9 real paper figures. Plot your own data in a chosen style as 300 dpi figures, or reproduce a matplotlib script from a paper screenshot. Needs local Python and matplotlib.
- [PaperOrchestra](https://hebbmind.com/skill/paperorchestra.md): [Skill] The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.
