Library
Matplotlib agent skills, page 3
Matplotlib skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Graph and network analysis toolkit. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 370 | 1 repo | ~5.8k | Automated safety check: Pass | BSD-3-Clause | 9 days ago |
| 98 | Interactive visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 370 | 1 repo | ~4.5k | Automated safety check: Pass | MIT | 9 days ago |
| 99 | Load when summarising STAR / HISAT2 / Salmon alignment-rate logs in bulk RNA-seq. | TianGzlab/ | 161 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 100 | 100.Fin Viz Launch 将用户的研究描述转换为高质量学术图表,自动推荐最佳图表类型并生成matplotlib/seaborn代码,输出≥300 DPI的PDF/SVG/PNG。 | csmar432/ | 109 | — | ~2.6k | Automated safety check: Pass | MIT | 2 days ago |
| 101 | 101.Data Science A skill your agent uses when performing exploratory data analysis, statistical testing, data visualization, or building predictive models. | majiayu000/ | 666 | 1 repo | ~4.3k | Automated safety check: Pass | MIT | today |
| 102 | Visualization type selection matrix by data type and analysis purpose, matplotlib/seaborn/plotly implementation pattern guide. | revfactory/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 103 | Publication-quality data visualization with matplotlib, seaborn, and plotly | wentorai/ | 298 | 1 repo | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 104 | 104.Chart Clarity Create, review, and restyle data visualizations using Edward Tufte principles: high data-ink ratio, direct labels, range-frame axes, small multiples, accessible color, responsive charts, and honest… | Mathews-Tom/ | 328 | — | ~2.5k | Automated safety check: Pass | MIT | 2 days ago |
| 105 | A skill your agent uses when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses. | VectorSpaceLab/ | 328 | — | ~914 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 106 | 106.ML Pipeline MANDATORY whenever a task involves training, fine-tuning, tuning, or evaluating a machine-learning model on data (tabular, time series, text, images — any modality). | hashgraph-online/ | 1.2k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
| 107 | Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly. | seb1n/ | 206 | — | ~2k | Automated safety check: Pass | MIT | 1 mo ago |
| 108 | 108.Datavis Create scientific plots and visualizations using matplotlib and seaborn | lamm-mit/ | 244 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |