---

name: org-chart-generator description: Generate organizational hierarchy charts from CSV, JSON, or nested data. Supports multiple layouts, department coloring, and PNG/SVG/PDF export.

Org Chart Generator

Create professional organizational hierarchy charts from structured data. Perfect for company org charts, team structures, reporting relationships, and any hierarchical data visualization.

Quick Start

from scripts.orgchart_gen import OrgChartGenerator

# From CSV (employee name + manager)
org = OrgChartGenerator()
org.from_csv("employees.csv", name="name", manager="reports_to")
org.generate().save("org_chart.png")

# From nested dictionary
org = OrgChartGenerator()
org.from_dict({
    'name': 'CEO',
    'children': [
        {'name': 'CTO', 'children': [{'name': 'Dev Lead'}, {'name': 'QA Lead'}]},
        {'name': 'CFO', 'children': [{'name': 'Controller'}]}
    ]
})
org.layout("top-down").generate().save("hierarchy.png")

Features

• Multiple Input Sources: CSV, JSON, nested dict, or programmatic
• Layout Options: Top-down, left-right, bottom-up, right-left
• Node Styling: Colors by level, department, or custom
• Additional Data: Titles, departments, photos
• Edge Styles: Straight, orthogonal, curved
• Export Formats: PNG, SVG, PDF, DOT

API Reference

Initialization

org = OrgChartGenerator()

Data Input Methods

# From CSV with name and manager columns
org.from_csv(
    filepath="employees.csv",
    name="employee_name",
    manager="reports_to",
    title="job_title",        # Optional
    department="dept",        # Optional
)

# From JSON file (nested structure)
org.from_json("structure.json")

# From nested dictionary
org.from_dict({
    'name': 'Root',
    'title': 'CEO',
    'department': 'Executive',
    'children': [
        {'name': 'Child 1', 'children': [...]},
        {'name': 'Child 2'}
    ]
})

# Programmatic: add nodes and relationships
org.add_node("Alice", title="CEO", department="Executive")
org.add_node("Bob", title="CTO", department="Engineering")
org.add_node("Carol", title="CFO", department="Finance")
org.add_relationship("Bob", "Alice")  # Bob reports to Alice
org.add_relationship("Carol", "Alice")

Layout Configuration

# Layout direction
org.layout("top-down")    # TB - Default, root at top
org.layout("bottom-up")   # BT - Root at bottom
org.layout("left-right")  # LR - Root on left
org.layout("right-left")  # RL - Root on right

# Spacing
org.spacing(rank=1.0, node=0.5)  # Vertical and horizontal spacing

Node Styling

# Colors by department
org.colors_by_department({
    'Engineering': '#3498db',
    'Finance': '#2ecc71',
    'Marketing': '#e74c3c',
    'Executive': '#9b59b6'
})

# Colors by level (depth in tree)
org.colors_by_level({
    0: '#e74c3c',  # Root (CEO)
    1: '#f39c12',  # Level 1 (C-suite)
    2: '#3498db',  # Level 2 (Directors)
    3: '#2ecc71'   # Level 3+ (Managers/Staff)
})

# Uniform color
org.node_color('#3498db')

# Node shape
org.node_style(
    shape='box',           # box, ellipse, diamond, record
    font='Arial',
    font_size=12,
    border_width=1
)

Edge Styling

# Edge style
org.edge_style(
    style='orthogonal',    # orthogonal, straight, curved
    color='#666666',
    width=1.0
)

Generation and Export

# Generate the chart
org.generate()

# Save to file
org.save("chart.png")       # PNG
org.save("chart.svg")       # SVG
org.save("chart.pdf")       # PDF
org.save("chart.dot")       # DOT source

# Save with custom size
org.save("chart.png", dpi=150)

# Get DOT source code
dot_code = org.to_dot()

# Show (opens in viewer)
org.show()

Data Formats

CSV Format

Flat structure with manager references:

name,reports_to,title,department
Alice,,"CEO","Executive"
Bob,"Alice","CTO","Engineering"
Carol,"Alice","CFO","Finance"
Dave,"Bob","Dev Lead","Engineering"
Eve,"Bob","QA Lead","Engineering"
Frank,"Carol","Controller","Finance"

Note: Empty reports_to indicates root node(s).

JSON Format

Nested structure:

{
  "name": "Alice",
  "title": "CEO",
  "department": "Executive",
  "children": [
    {
      "name": "Bob",
      "title": "CTO",
      "department": "Engineering",
      "children": [
        {"name": "Dave", "title": "Dev Lead"},
        {"name": "Eve", "title": "QA Lead"}
      ]
    },
    {
      "name": "Carol",
      "title": "CFO",
      "department": "Finance",
      "children": [
        {"name": "Frank", "title": "Controller"}
      ]
    }
  ]
}

Dictionary Format

Same nested structure as JSON:

data = {
    'name': 'Alice',
    'title': 'CEO',
    'children': [
        {'name': 'Bob', 'title': 'CTO'},
        {'name': 'Carol', 'title': 'CFO'}
    ]
}

CLI Usage

# From CSV
python orgchart_gen.py --input employees.csv \
    --name name --manager reports_to \
    --output org.png

# With title and department
python orgchart_gen.py --input team.csv \
    --name employee --manager boss \
    --title job_title --department dept \
    --layout left-right \
    --output team_chart.png

# From JSON
python orgchart_gen.py --input structure.json --output org.svg

# High resolution
python orgchart_gen.py --input data.csv --name n --manager m \
    --output chart.png --dpi 300

CLI Arguments

Argument	Description	Default
--input	Input CSV or JSON file	Required
--name	Name column (CSV)	-
--manager	Manager column (CSV)	-
--title	Title column (CSV)	-
--department	Department column (CSV)	-
--output	Output file path	orgchart.png
--layout	Layout direction	top-down
--dpi	Image resolution	96

Examples

Basic Company Org Chart

org = OrgChartGenerator()
org.from_csv("company.csv", name="employee", manager="manager")
org.layout("top-down")
org.node_style(shape='box')
org.generate().save("company_org.png")

Colored by Department

org = OrgChartGenerator()
org.from_csv("team.csv", name="name", manager="reports_to", department="dept")
org.colors_by_department({
    'Executive': '#8e44ad',
    'Engineering': '#2980b9',
    'Sales': '#27ae60',
    'Marketing': '#e67e22',
    'HR': '#c0392b'
})
org.layout("left-right")
org.generate().save("dept_org.png")

With Titles

org = OrgChartGenerator()
org.from_dict({
    'name': 'Sarah Johnson',
    'title': 'CEO',
    'children': [
        {
            'name': 'Mike Chen',
            'title': 'VP Engineering',
            'children': [
                {'name': 'Lisa Park', 'title': 'Engineering Manager'},
                {'name': 'Tom Brown', 'title': 'Tech Lead'}
            ]
        },
        {
            'name': 'Emma Wilson',
            'title': 'VP Sales',
            'children': [
                {'name': 'John Davis', 'title': 'Sales Manager'}
            ]
        }
    ]
})
org.layout("top-down")
org.generate().save("executive_org.png")

Project Team Structure

org = OrgChartGenerator()

# Add nodes
org.add_node("Project Manager", department="PMO")
org.add_node("Tech Lead", department="Engineering")
org.add_node("Designer", department="Design")
org.add_node("Dev 1", department="Engineering")
org.add_node("Dev 2", department="Engineering")
org.add_node("QA", department="Quality")

# Add relationships
org.add_relationship("Tech Lead", "Project Manager")
org.add_relationship("Designer", "Project Manager")
org.add_relationship("QA", "Project Manager")
org.add_relationship("Dev 1", "Tech Lead")
org.add_relationship("Dev 2", "Tech Lead")

org.colors_by_department({
    'PMO': '#9b59b6',
    'Engineering': '#3498db',
    'Design': '#e74c3c',
    'Quality': '#2ecc71'
})
org.generate().save("project_team.png")

Multiple Root Nodes

# Board of Directors structure
org = OrgChartGenerator()
org.from_dict({
    'name': 'Board of Directors',
    'children': [
        {
            'name': 'CEO',
            'children': [
                {'name': 'COO'},
                {'name': 'CFO'},
                {'name': 'CTO'}
            ]
        },
        {
            'name': 'Audit Committee',
            'children': [
                {'name': 'Internal Audit'},
                {'name': 'External Audit'}
            ]
        }
    ]
})
org.generate().save("board_structure.png")

Node Display Format

By default, nodes display:

• Name (required)
• Title (if provided)

Example node appearance:

┌─────────────┐
│  John Smith │
│    CEO      │
└─────────────┘

Dependencies

graphviz>=0.20.0
pandas>=2.0.0

System Requirement: Graphviz must be installed on the system.

• macOS: brew install graphviz
• Ubuntu: apt-get install graphviz
• Windows: Download from graphviz.org

Limitations

• Very large org charts (100+ nodes) may be hard to read
• Photo support requires external image files
• Node positions are auto-calculated (limited manual control)
• Complex reporting relationships (matrix orgs) not well supported