Local-first chart generation engine for trends, comparisons, distributions, and quick visual explanations. Use whenever the user wants to visualize data, compare numbers, plot a trend, turn CSV or JSON into a chart, or decide which chart type fits a dataset best. Generates charts locally and stores outputs in the user's workspace.
Scanned 9/11/2026
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---
name: chart
description: Local-first chart generation engine for trends, comparisons, distributions, and quick visual explanations. Use whenever the user wants to visualize data, compare numbers, plot a trend, turn CSV or JSON into a chart, or decide which chart type fits a dataset best. Generates charts locally and stores outputs in the user's workspace.
---
# Chart
Turn numbers into clear visuals.
## Core Philosophy
1. Prefer clarity over chart variety.
2. Choose the simplest chart that makes the comparison obvious.
3. Use local generation only.
4. Make outputs reusable for reports, slides, and quick decision-making.
## Runtime Requirements
- Python 3 must be available as `python3`
- `matplotlib` must be installed
- No network access required
## Storage
All data is stored locally only under:
- `~/.openclaw/workspace/memory/chart/charts.json`
- `~/.openclaw/workspace/memory/chart/output/`
No cloud sync. No third-party chart APIs.
## Supported Chart Types
- `bar`: category comparison
- `line`: trend over time
- `pie`: simple part-to-whole
- `scatter`: relationship between two variables
## Key Workflows
- **Suggest**: `suggest_chart.py --labels ... --values ...`
- **Generate**: `make_chart.py --type bar --title "..." --labels "A,B,C" --values "10,20,15"`
- **History**: `list_charts.py`
- **Initialize**: `init_storage.py`
## Scripts
| Script | Purpose |
|---|---|
| `init_storage.py` | Initialize local chart storage |
| `make_chart.py` | Generate a chart image from inline data |
| `suggest_chart.py` | Recommend the best chart type |
| `list_charts.py` | Show previously generated charts |
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