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data-visualization

Open source alternatives to data-visualization

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About data-visualization

D

data-visualization

Create effective data visualizations with Python (matplotlib, seaborn, plotly)

Data-visualization is an agent skill for building charts with Python using matplotlib, seaborn and plotly. It gives guidance on choosing the right chart type for a dataset, starting from the relationship the data describes, so a comparison, a trend, a distribution or a composition each gets a suitable form. It also includes code patterns for building those charts, design principles that keep them readable, and accessibility considerations. The skill is for analysts, data scientists and anyone producing charts for a report or a presentation who wants them to be clear rather than merely decorative. Its chart selection guide is organized by data relationship, which makes it easy to find the right starting point. The skill is part of Anthropic's knowledge-work plugins and is listed as free on skills.sh.

View data-visualizationAll AI Skills apps
Price
Free
Made by
anthropics
Category
AI Skills
Website
github.com/anthropics/knowledge-work-plugins/data-visualization