ComfyUI-Data-Analysis

By HowToSDView on GitHub →

Data analysis custom modules for ComfyUI - Use Pandas & Matplotlib from within ComfyUI

How much VRAM does ComfyUI-Data-Analysis require?

Direct Answer: The ComfyUI node ComfyUI-Data-Analysis requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-Data-Analysis?

Direct Answer: Running ComfyUI-Data-Analysis requires installing the following Python package dependencies: lxml>=5.4.0, matplotlib>=3.10.0, openpyxl>=3.1.5, pandas>=2.2.3, scikit-learn>=1.6.1, scipy>=1.14.1, seaborn>=0.13.2. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
lxml>=5.4.0
matplotlib>=3.10.0
openpyxl>=3.1.5
pandas>=2.2.3
scikit-learn>=1.6.1
scipy>=1.14.1
seaborn>=0.13.2

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

0x-jerry/Rembg Background Removal Node for ComfyUI
by 0x-jerry128MB VRAM
A8R8 ComfyUI Nodes
by ramyma128MB VRAM
AI4ArtsEd Nodes
by joeriben128MB VRAM
AIFSH/ComfyUI-AuraSR
by AIFSH128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Data-Analysis require?

ComfyUI-Data-Analysis requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-Data-Analysis on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What Python packages are required for ComfyUI-Data-Analysis?

To run ComfyUI-Data-Analysis, you need to install: lxml>=5.4.0, matplotlib>=3.10.0, openpyxl>=3.1.5, pandas>=2.2.3, scikit-learn>=1.6.1, scipy>=1.14.1, seaborn>=0.13.2. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Data-Analysis?

ComfyUI-Data-Analysis supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI-Data-Analysis in ComfyUI?

To install ComfyUI-Data-Analysis: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/HowToSD/ComfyUI-Data-Analysis, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.