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pandas · Data visualization
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Seaborn Statistical visualization with pandas integration. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | 4 mo ago |
| 2 | Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). | cortega26/ | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 3 | Build an auditable release-evidence workflow for a desktop or packaged application. | Ali-Marandi/ | 107 | — | ~1.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 4 | Analyzes uploaded cohort data to compute retention curves and feature adoption trends, builds heatmaps and charts, and suggests qualitative follow-up research. | phuryn/ | 27k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 5 | Builds interactive Vega-Lite charts from uploaded data: analyzes the fields, picks five to ten fitting chart types, and produces a React artifact with the data embedded inline. | oaustegard/ | 150 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 6 | Processes tabular datasets too large for RAM with Vaex: lazy DataFrames, fast aggregations, big-data plots and ML pipelines over CSV, HDF5, Arrow and Parquet. | davila7/ | 33k | 12 repos | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 7 | Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. | Mindrally/ | 271 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 8 | Analyzes insurance operating data such as premium, loss ratio, renewal rate and expense ratio by branch, product and channel, flags anomalies and builds an HTML dashboard. | zj-unicom-ai/ | 360 | — | ~646 | Automated safety check: Pass | MIT | 2 days ago |
| 9 | Create charts, graphs, and map visualizations in Databricks Apps. | databricks-solutions/ | 183 | — | ~1.1k | Automated safety check: Pass | Unknown | 6 days ago |
| 10 | 10.Seaborn Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Notes | BSD-3-Clause | 5 days ago |
| 11 | Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills. | probabl-ai/ | 138 | — | ~796 | Automated safety check: Pass | BSD-3-Clause | yesterday |
| 12 | Python visual creation and matplotlib/seaborn patterns for PBIR reports. | data-goblin/ | 1k | — | ~2.1k | Automated safety check: Pass | GPL-3.0 | 3 days ago |
| 13 | 13.Owid Catalog Access Our World in Data from Python with the owid-catalog library: load chart data, catalog tables or individual indicators as pandas DataFrames that carry their own units, descriptions, sources… | owid/ | 159 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 14 | Transform audit data, performance reports, and structured analyses into polished visual deliverables. | thatrebeccarae/ | 161 | — | ~1.8k | Automated safety check: Pass | MIT | 4 mo ago |
| 15 | 15.Seaborn Statistical visualization library integrated with pandas; use it when you need fast EDA of distributions, relationships, and categorical comparisons (e.g., box/violin/pair plots and heatmaps) with… | aipoch/ | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | 24 days ago |
| 16 | Interactive visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 374 | 1 repo | ~4.5k | Automated safety check: Pass | MIT | 12 days ago |
| 17 | Guide to Plotly.py for interactive scientific visualizations in Python | wentorai/ | 298 | 1 repo | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 18 | Common pandas and matplotlib patterns for data analysis and visualization | langchain-ai/ | 426 | — | ~117 | Automated safety check: Pass | MIT | yesterday |