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Data Visualizer Pack

★Trusted◇Sandbox optionalv1.0.0MIT✔Verified80

by AgentNode · published 5 months 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

Runs in a subprocess with filtered environment by default. Declared permissions are policy-checked, not sandboxed.

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']}")

Runs locally on your machine. No execution data is sent to AgentNode. Permissions are checked before execution. Learn how this works

Verification

high confidence80/100✔ Verified
smokeReturned valid result
+25/25
testsTests failed
0/15
importAll tools imported successfully
+15/15
installInstalled in 2.3s
+15/15
contractAll contract checks passed
+10/10
determinismConsistent output across runs (normalized)
+5/5
reliability3/3 runs passed
+10/10

Package installs and imports correctly. runtime checks passed.

✔install2.3s
✔import4.0s
✔smoke1.3s
✖tests1.2s

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

Verified in real_auto mode

Python 3.12.3ffmpegpopplertesseractuv

Last verified 1d 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

Version History

v1.0.0latestverified
3/16/2026

Capabilities

data_visualizationvisualize_datatool

Permissions

◇Sandbox optionalFrom a trusted publisher — runs on the host by default. You can require isolation with sandbox.host_trust_policy.

Declared by the publisher. Checked before execution by the policy gate.

Networknone
Filesystemtemp
Code Executionnone
Data Accessinput_only
User Approvalnever

Permissions are policy-checked before execution. For trusted and curated packages that run on the host, network and filesystem access are policy-checked but not OS-sandboxed. When runtime isolation is required for untrusted/community code, AgentNode uses sandbox-or-fail-closed if the required container runtime and pinned image are available. Learn more

Privacy

All tool execution happens locally on your machine. AgentNode never receives:

  • • Tool inputs or outputs
  • • Execution logs
  • • Data your agent processes

Only install events and search queries are sent to the registry.

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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