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data-visualization

Self-hosted alternatives to data-visualization

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

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