VILA-Lab/FigMirror
FigMirror
An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style.
Usage guide
FigMirror is an open-source project around agent, agent-skills, claude-code with 303 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Python, useful for judging integration effort in a similar stack.
- GitHub did not detect a repository license, so commercial permission is unconfirmed. Review the repository terms and any model weights, datasets, dependencies, or external services before commercial adoption.
- GitHub is the main evaluation surface; review the README, issues, and recent commits first.
Best for
- Evaluating FigMirror for Python AI workflows.
- Comparing a GitHub project with 303 stars and current repository activity.
Pros
- FigMirror has visible GitHub traction with 303 stars. Topics: agent, agent-skills, claude-code.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- No license was detected, so usage risk needs manual review.
Production readiness
FigMirror should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GitHub did not report a license, which usually requires manual legal review before production use.
Install tutorial
Before you install
- Python runtime and an isolated virtual environment
- A clean working directory for the first test run
Check the runtime environment
FigMirror depends on a Python-style environment. Use venv, conda, or a container to keep dependencies isolated.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/VILA-Lab/FigMirror.gitInstall or build dependencies
No extra setup command was detected. Check the README before adding custom configuration.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented FigMirror example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is FigMirror?
FigMirror is an open-source ai agents project. An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style.
How do I install FigMirror?
Start with the official README. The first detected setup step is: git clone https://github.com/VILA-Lab/FigMirror.git.
Is FigMirror beginner-friendly?
If you already know the Python ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can FigMirror be used commercially?
GitHub did not detect a repository license, so commercial permission is unconfirmed. Review the repository terms and any model weights, datasets, dependencies, or external services before commercial adoption.
Does FigMirror need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt FigMirror?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.