# 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
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Resources for ML / AI or Research / Academia, Tagged `data-visualization`: 8 items.

> - ML / AI: Model training, evaluation and LLM application development.
> - Research / Academia: Literature search and reviews, experimental data analysis, paper writing and submission.

- [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+.
- [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.
- [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.