A Python visualization library that handles everything from quick scatter plots to complex 3D scientific charts. The dual API approach is smart: use Plotly Express for fast DataFrame visualizations in a few lines, then drop down to graph objects when you need precise control over annotations or specialized chart types. Covers 40+ chart types including the usual suspects (scatter, bar, heatmap) plus financial candlesticks, geographic maps, and interactive 3D surfaces. Outputs to interactive HTML or static images. The real win is that Express figures are actually graph objects under the hood, so you can start simple and customize later without rewriting. Good choice if you need publication quality charts with interactivity baked in.
- skills.sh installs
- 1.1K
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill plotly --agent claude-codeInstalls into .claude/skills of the current project.
Files
Plotly
Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types.
Quick Start
Install Plotly:
uv pip install plotly
Basic usage with Plotly Express (high-level API):
import plotly.express as px
import pandas as pd
df = pd.DataFrame({
'x': [1, 2, 3, 4],
'y': [10, 11, 12, 13]
})
fig = px.scatter(df, x='x', y='y', title='My First Plot')
fig.show()
Choosing Between APIs
Use Plotly Express (px)
For quick, standard visualizations with sensible defaults:
- Working with pandas DataFrames
- Creating common chart types (scatter, line, bar, histogram, etc.)
- Need automatic color encoding and legends
- Want minimal code (1-5 lines)
See reference/plotly-express.md for complete guide.
Use Graph Objects (go)
For fine-grained control and custom visualizations:
- Chart types not in Plotly Express (3D mesh, isosurface, complex financial charts)
- Building complex multi-trace figures from scratch
- Need precise control over individual components
- Creating specialized visualizations with custom shapes and annotations
Sponsors
Details
- Repository
- github.com/davila7/claude-code-templates
- Categories
- Frontend Development, Data Science & ML, Python, Office & Documents, Finance & Trading
- First seen
- May 16, 2026
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