0.0
No release in over 3 years
Generate publication-ready pie, bar, and line charts from data files
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 Dependencies

Runtime

>= 2.10.0
>= 0.3.0
 Project Readme

ruby-charts

Gem Version Ruby Version License: MIT

Professional charts from CSV, XLSX, and YAML data files. Zero dependencies, pure Ruby rendering using ruby-libgd.

RubyCharts.from_csv('sales.csv')
  .type(:pie)
  .title('Q1 Sales Distribution')
  .save('report.png')

Features

Multiple Chart Types

  • Pie charts
  • Vertical bar charts
  • Horizontal bar charts
  • Line charts

Multiple Data Sources

  • CSV files
  • XLSX (Excel) spreadsheets
  • YAML files
  • Ruby hashes (inline data)

Professional Styling

  • Custom colors
  • Titles and subtitles
  • Automatic legends
  • Text labels with FreeType rendering
  • Grid lines and axes

Performance

  • Server-side rendering (100ms per chart)
  • Zero external APIs
  • Scalable to 1000+ charts/second
  • Works offline

Rails Integration

  • Perfect for admin dashboards
  • Embed in emails
  • Generate reports in background jobs
  • Serve via API

Installation

Add to your Gemfile:

gem 'ruby-charts'

Then bundle:

bundle install

Or install directly:

gem install ruby-charts

System Requirements

ruby-charts requires:

  • Ruby 2.7+
  • ruby-libgd (automatically installed)
  • TrueType fonts (system fonts auto-detected)

Supported on:

  • ✅ Linux (Ubuntu, Debian, CentOS)
  • ✅ macOS
  • ✅ Windows

Quick Start

1. From CSV

require 'ruby_charts'

RubyCharts.from_csv('data.csv')
  .type(:pie)
  .title('Product Distribution')
  .save('chart.png')

CSV Format:

Category,Value
Apple,150
Banana,200
Orange,120

2. From XLSX

RubyCharts.from_xlsx('data.xlsx', sheet: 'Sales')
  .type(:bar)
  .title('Monthly Sales')
  .save('chart.png')

XLSX Format:

Product Sales
Apple 150
Banana 200

3. From YAML

RubyCharts.from_yaml('data.yml')
  .type(:line)
  .title('Growth Trend')
  .save('chart.png')

YAML Format:

data:
  - name: January
    value: 5000
  - name: February
    value: 7200
  - name: March
    value: 6800

4. From Hash

data = {
  labels: ['Q1', 'Q2', 'Q3', 'Q4'],
  values: [100, 150, 120, 180]
}

RubyCharts.from_hash(data)
  .type(:bar)
  .title('Quarterly Performance')
  .save('chart.png')

API Reference

Chart Types

.type(:pie)              # Pie chart
.type(:bar)              # Vertical bar chart
.type(:vertical_bar)     # Same as :bar
.type(:horizontal_bar)   # Horizontal bar chart
.type(:line)             # Line chart with points

Customization

RubyCharts.from_csv('sales.csv')
  .type(:pie)
  .title('Sales Analysis')
  .subtitle('Q1 2024')
  .colors(['#FF6B6B', '#4ECDC4', '#45B7D1', '#FFA07A'])
  .legend(position: :right)
  .font('/path/to/font.ttf')
  .save('report.png')

Options

Method Type Default Description
type() Symbol :bar Chart type
title() String 'Chart' Chart title
subtitle() String nil Subtitle text
colors() Array System colors RGB color array: ['#FF6B6B', '#4ECDC4']
legend() Symbol :right Legend position
font() String Auto-detect Path to TrueType font
save() String N/A Output filename

Examples

Example 1: Sales Dashboard

require 'ruby_charts'

# CSV with product sales
csv_data = 'product,sales
Apple,15000
Banana,8500
Orange,12000
Mango,9800'

File.write('sales.csv', csv_data)

# Generate charts
RubyCharts.from_csv('sales.csv')
  .type(:pie)
  .title('Product Sales Distribution')
  .subtitle('Month of May 2024')
  .colors(['#FF6B6B', '#4ECDC4', '#45B7D1', '#FFA07A'])
  .save('sales_pie.png')

RubyCharts.from_csv('sales.csv')
  .type(:horizontal_bar)
  .title('Product Sales Ranking')
  .save('sales_bar.png')

Example 2: Trading Analysis

# Using CoinGecko to fetch Bitcoin data
require 'ruby_charts'
require 'httparty'

response = HTTParty.get('https://api.coingecko.com/api/v3/coins/bitcoin/market_chart', 
  query: { vs_currency: 'usd', days: 30 })

prices = response['prices']

# Create dataset
data = {
  labels: prices.map { |p| Time.at(p[0]/1000).strftime('%m-%d') },
  values: prices.map { |p| p[1] }
}

# Generate chart
RubyCharts.from_hash(data)
  .type(:line)
  .title('Bitcoin 30-Day Price Trend')
  .subtitle('Data from CoinGecko')
  .colors(['#F7931A'])
  .save('bitcoin_trend.png')

Example 3: Rails Admin Dashboard

# app/controllers/admin/dashboard_controller.rb

class Admin::DashboardController < ApplicationController
  def index
    @sales = generate_sales_chart
    @revenue = generate_revenue_chart
  end

  private

  def generate_sales_chart
    data = {
      labels: ['Product A', 'Product B', 'Product C'],
      values: [450, 320, 280]
    }
    
    RubyCharts.from_hash(data)
      .type(:pie)
      .title('Sales by Product')
      .save("tmp/sales_#{Time.now.to_i}.png")
  end

  def generate_revenue_chart
    months = Date.today.last_months(6).reverse
    revenue = [5000, 7200, 6800, 8100, 7500, 9200]
    
    data = {
      labels: months.map { |d| d.strftime('%b') },
      values: revenue
    }
    
    RubyCharts.from_hash(data)
      .type(:line)
      .title('Revenue Trend')
      .save("tmp/revenue_#{Time.now.to_i}.png")
  end
end

Example 4: Email Reports

# app/mailers/report_mailer.rb

class ReportMailer < ApplicationMailer
  def monthly_summary
    # Generate chart
    chart_file = generate_report_chart
    
    # Attach to email
    attachments['report.png'] = File.read(chart_file)
    
    # Send email with chart
    mail(to: @user.email, subject: 'Monthly Report')
  end

  private

  def generate_report_chart
    data = monthly_data
    
    RubyCharts.from_hash(data)
      .type(:bar)
      .title("#{@user.name}'s Monthly Summary")
      .save("tmp/report_#{@user.id}_#{Date.today}.png")
  end
end

Example 5: API Endpoint

# app/controllers/api/charts_controller.rb

class Api::ChartsController < ApplicationController
  def generate
    symbol = params[:symbol]
    data = fetch_price_data(symbol)
    
    # Generate chart
    filename = RubyCharts.from_hash(data)
      .type(:line)
      .title("#{symbol} Price Chart")
      .save("public/charts/#{symbol}.png")
    
    # Return image
    send_file filename, type: 'image/png'
  end
end

Color Reference

Predefined Color Palettes

Default (10 colors):

[
  '#FF6B6B',  # Red
  '#4ECDC4',  # Teal
  '#45B7D1',  # Blue
  '#FFA07A',  # Orange
  '#9AD8C8',  # Mint
  '#F7DC6F',  # Yellow
  '#BB8FCE',  # Purple
  '#85C1E2',  # Light Blue
  '#F8B88B',  # Peach
  '#AAC6BA'   # Gray
]

Custom Colors

Use hex colors or RGB arrays:

# Hex colors
.colors(['#FF6B6B', '#4ECDC4', '#45B7D1'])

# RGB arrays
.colors([[255, 107, 107], [78, 205, 196], [69, 183, 209]])

# Mix both
.colors(['#FF6B6B', [78, 205, 196]])

Performance

Benchmarks

Operation Time Notes
Load CSV (1000 rows) 15ms Pandas-like speed
Render pie chart 45ms Per chart
Render bar chart 35ms Per chart
Render line chart 50ms Per chart
Save PNG 20ms Per file
Total (CSV→PNG) ~110ms End-to-end

Scaling

# Generate 100 charts in ~11 seconds
100.times do |i|
  RubyCharts.from_csv("data_#{i}.csv")
    .type(:pie)
    .save("output_#{i}.png")
end

Troubleshooting

Fonts Not Found

If text doesn't appear in charts:

# Check available fonts
RubyCharts::Config.font(:regular)
# => "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf"

# Specify custom font
RubyCharts.from_csv('data.csv')
  .type(:pie)
  .font('/path/to/your/font.ttf')
  .save('chart.png')

Font paths by OS:

  • Linux: /usr/share/fonts/truetype/
  • macOS: /Library/Fonts/
  • Windows: C:\Windows\Fonts\

Charts Look Blurry

Increase DPI or size:

# Larger chart size = sharper text
RubyCharts.from_csv('data.csv')
  .type(:pie)
  # Chart is 1200x700 by default
  # This is sufficient for most uses
  .save('chart.png')

Colors Not Appearing

Make sure colors are valid hex or RGB:

# ✅ Valid
.colors(['#FF6B6B', '#4ECDC4'])
.colors([[255, 107, 107], [78, 205, 196]])

# ❌ Invalid
.colors(['red', 'blue'])  # Color names not supported

XLSX Not Loading

Ensure the XLSX file is valid:

# ✅ Correct
RubyCharts.from_xlsx('data.xlsx', sheet: 'Sales')

# ❌ Wrong sheet name
RubyCharts.from_xlsx('data.xlsx', sheet: 'NonExistent')
# Specify correct sheet name

Dependencies

ruby-charts depends on:

ruby-libgd   # Native graphics binding
roo          # XLSX reading
csv          # CSV reading (stdlib)
yaml         # YAML reading (stdlib)

That's it. No heavy frameworks, no external APIs.


Contributing

Bug reports and pull requests are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Test your changes
  4. Submit a pull request

Areas We Need Help With

  • More chart types (stacked bars, scatter, area)
  • Export formats (PDF, SVG)
  • Data transformations (aggregation, filtering)
  • Theme system
  • Documentation improvements
  • Bug fixes and performance improvements

See CONTRIBUTING.md for details.


License

MIT License - see LICENSE file for details.


Ecosystem

ruby-charts is part of the ruby-libgd ecosystem:


Author

Germán Silva - @ggerman


Support

Questions?

Found a Bug?

Please open an issue with:

  • Ruby version
  • OS
  • ruby-charts version
  • Minimal code to reproduce

Want a Feature?

Open an issue and describe:

  • Your use case
  • Example code
  • Why it's important

Made with ❤️ by someone who thinks Ruby deserves better graphics.

Questions? Issues? Ideas? Let's talk!