Self-hosted alternatives to scientific-visualization
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

claude-to-deerflow
Launchclaude-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
- O

open-notebook
Launchopen-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
- R

Reactive Resume
LaunchReactive 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
- S

self-hosted-funnel-launch
LaunchSelf-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
- G

get-convex/convex-backend
LaunchConvex 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 scientific-visualization

scientific-visualization
Creates and audits truthful, accessible
scientific-visualization is an agent skill for creating and auditing truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn or Plotly. It is for figure design, multi-panel layouts and the checks that come before submission. The skill puts scientific meaning first, before appearance. It keeps universal principles apart from dated publisher rules, preserves the raw data and every transformation, uses colour redundantly so that it does not rely on hue alone, and inspects the delivered files rather than trusting plotting defaults. Its guardrails are strict. It never alters, hides, invents or selectively enhances data to improve a figure. It keeps raw tables, exclusions, missing-value codes, analysis code, normalisation, binning, image adjustments and random seeds. It does not assume a journal's requirements, but identifies the exact journal, article type, figure type and submission stage, and checks the live official guidance. It warns that a palette, a DPI value or an automated report does not by itself make a figure accessible or compliant. It also says that interactive hover is not a substitute for labels, alt text or a static fallback.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/scientific-visualization