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seaborn

Self-hosted alternatives to seaborn

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 seaborn

S

seaborn

Creates Seaborn statistical visualizations

seaborn is an agent skill for creating statistical visualisations with Seaborn, a Python library built on matplotlib that works directly with pandas data. It covers distributions, relationships, categorical comparisons, regression displays and pair plots, and it supports automatic statistical estimation and complex multi-panel figures with little code. Use it for dataset-oriented plotting and multivariate analysis. The skill was reviewed on 1 October 2026 against the stable Seaborn 0.13.2 documentation and released source. Native checks used Python 3.13, Seaborn 0.13.2, Matplotlib 3.11.2, pandas 3.0.6, NumPy 2.5.3, SciPy 1.18.1 and statsmodels 0.15.0. The official documentation requires NumPy, pandas and matplotlib, while SciPy, statsmodels and fastcluster are optional for some advanced statistics and clustering. The tested stack emits deprecation warnings from pandas Copy-on-Write and Matplotlib, and the skill notes that plots which work now are not guaranteed to work with future pandas 4 or Matplotlib 3.13. The skill recommends a reproducible install of the pinned version, with the statistical extra when you need it.

Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/seaborn