Data Visualizer Pack

★Trustedv1.0.0MIT✔Verified88

by AgentNode · published 22 days ago · toolpack

Create charts, graphs, and dashboards from data.

Generate bar charts, line graphs, scatter plots, heatmaps, and interactive dashboards from CSV, JSON, or pandas DataFrames using matplotlib and plotly.

langchaincrewaigeneric

Quick Start

bash
agentnode install data-visualizer-pack

Usage

From package
python
from data_visualizer_pack.tool import run

result = run(
    action="visualize_data",
    data={
        "labels": ["Q1", "Q2", "Q3", "Q4"],
        "values": [42000, 58000, 71000, 65000]
    },
    chart_type="bar",
    title="2025 Quarterly Revenue",
    x_label="Quarter",
    y_label="Revenue (USD)",
    output_format="png"
)

print(f"Chart saved to: {result['output_path']}")
print(f"Dimensions: {result['width']}x{result['height']}")

Verification

high confidence88/100✔ Verified
smokeReturned valid result
+25/25
testsAuto-generated tests only
+8/15
importAll tools imported successfully
+15/15
installInstalled in 2.8s
+15/15
contractAll contract checks passed
+10/10
warningsNo warnings
0/0
determinismOutput consistency check
+5/5
reliability3/3 runs passed
+10/10

Package installs and imports correctly. runtime checks passed.

✔install2.8s
✔import4.5s
✔smoke1.5s
✔tests2.3s

This package was executed and validated by AgentNode before listing. Install, import, and runtime checks passed.

Python 3.12.3ffmpegpopplertesseractuv

Last verified 18d ago· Runner v2.0.0

Use this when you need to...

  • ›Generate quarterly revenue bar charts from CSV sales data
  • ›Plot real-time sensor readings as interactive line graphs
  • ›Build executive dashboards combining multiple chart types
  • ›Create correlation heatmaps from survey response datasets
  • ›Export publication-ready scatter plots with trend lines

README

Data Visualizer Pack

Create charts, graphs, and dashboards from data. Generate bar charts, line graphs, scatter plots, heatmaps, and interactive dashboards from CSV, JSON, or pandas DataFrames using matplotlib and plotly.

Quick Start

agentnode install data-visualizer-pack

from data_visualizer_pack.tool import run

result = run(
    action="visualize_data",
    data={"labels": ["A", "B", "C"], "values": [30, 50, 20]},
    chart_type="bar",
    title="Sample Chart"
)
print(result["output_path"])

Usage

Line Chart with Multiple Series

result = run(
    action="visualize_data",
    data={"x": [1, 2, 3, 4, 5], "series": {"CPU": [45, 62, 38, 71, 55], "Memory": [60, 58, 65, 70, 68]}},
    chart_type="line",
    title="Server Metrics Over Time"
)

Scatter Plot with Trend Line

result = run(
    action="visualize_data",
    data={"x": [1.2, 2.4, 3.1, 4.5, 5.8], "y": [2.1, 4.0, 5.9, 8.2, 11.0]},
    chart_type="scatter",
    trend_line=True,
    title="Growth Correlation"
)

Interactive Heatmap

result = run(
    action="visualize_data",
    data={"matrix": [[1, 0.8, 0.3], [0.8, 1, 0.5], [0.3, 0.5, 1]], "labels": ["X", "Y", "Z"]},
    chart_type="heatmap",
    interactive=True,
    output_format="html"
)

API Reference

CapabilityDescription
visualize_dataGenerate charts, graphs, dashboards from structured data

Supported chart types: bar, line, scatter, heatmap, pie, histogram, dashboard

Output formats: png, svg, pdf, html (interactive)

Data inputs: JSON objects, CSV strings, column/row structures

License

MIT

Version History

v1.0.0latestverified
3/16/2026

Capabilities

data_visualizationvisualize_datatool

Permissions

This package declares the following access levels. Review before installing.

Networknone
Filesystemtemp
Code Executionnone
Data Accessinput_only
User Approvalnever
bash
agentnode install data-visualizer-pack

Files (3)

License

MIT

Stats

Downloads0
Installs0
Versionv1.0.0
Published3/16/2026
Channelstable
Typetoolpack
Entrypointdata_visualizer_pack.tool

Compatibility

Frameworks

langchaincrewaigeneric

Runtime

python

Python Version

>=3.10

Trust & Security

Publisher★Trusted
SignatureNone
ProvenanceNone
Security Issues0

Publisher

A

AgentNode

@agentnode

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