# ChenLiu-1996/figures4papers

My Python scripts to make high-quality figures for publications in top AI conferences and journals.

Repository: https://github.com/ChenLiu-1996/figures4papers
Canonical: https://ross.abutalabs.com/products/figures4papers
Homepage: https://chenliu-1996.github.io/
Language: Python
License Family: other
Topics: figures, python, icml, nature-machine-intelligence, neurips, llm, machine-learning, iclr, nature, llm-skills, skills, scientific-figure, acl, cvpr, eccv, emnlp, iccv, skill
Last push: 2026-08-20T17:51:56+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 35, longevity 35
- inputs: {"age_days": 492, "days_push": 13, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3974, forks 241 (observed 2026-08-28T04:08:30.832254+00:00)

## What it is
A collection of Python scripts for creating high-quality scientific figures used in top AI conference and journal publications, organized by project. It also ships a reusable 'scientific figure making' skill folder for LLM-assisted figure generation.

## Use cases
- make publication-quality figures for a NeurIPS paper
- create bar plots comparing model results
- draw radar charts for benchmark comparison
- make concept and schematic figures for a paper
- generate trend plots for a review article
- use an LLM skill to make scientific figures

## When to choose
- you need polished, publication-ready figures for AI/ML papers
- you want reference examples of figure styles accepted at top venues
- you want an LLM skill for scientific figure making

## When to avoid
- you need a general-purpose plotting library with an API rather than example scripts
- you need interactive or dashboard visualizations
- you need a maintained, licensed package with installable releases

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-visualization, developer-tools
- domain: data-visualization, machine-learning, tutorials
- platform: python, cross-platform
- tags: scientific-figures, publication-figures, matplotlib, academic-writing, llm-skill, paper-figures

## Member repositories
- ChenLiu-1996/figures4papers (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.832254+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:19.838248+00:00, confidence not recorded.
  - readme: https://github.com/ChenLiu-1996/figures4papers (fetched 2026-08-28T04:08:30.832254+00:00, sha 892a57e3bfde)
  - homepage: https://chenliu-1996.github.io/ (fetched 2026-08-29T09:17:41.859354+00:00, sha c3317d69707e)
- Data as of 2026-08-30T08:39:29.467469+00:00.