PyBarePlot 0.0.1

SVG chart generator CLI and Python module for creating visual charts with support for styling, legends, gradients, and layout customization.

PyBarePlot

Description

Lightweight SVG chart generator for the command line and Python, supporting multiple chart types, themes, gradients, legends and fully standalone SVG output.

Supported charts:

• Lines
• Bars
• Grouped bars
• Stacked bars
• Horizontal bars
• Horizontal grouped bars
• Horizontal stacked bars
• Pie
• Radar
• Boxplot
• Gradient line
• Step line
• Optimized step line

Requirements

This package require:

• python3
• python3 Standard Library

Installation

Pip

python3 -m pip install PyBarePlot

Git

git clone "https://github.com/mauricelambert/PyBarePlot.git"
cd "PyBarePlot"
python3 -m pip install .

Wget

wget https://github.com/mauricelambert/PyBarePlot/archive/refs/heads/main.zip
unzip main.zip
cd PyBarePlot-main
python3 -m pip install .

cURL

curl -O https://github.com/mauricelambert/PyBarePlot/archive/refs/heads/main.zip
unzip main.zip
cd PyBarePlot-main
python3 -m pip install .

Usages

Command line

PyBarePlot              # Using CLI package executable
python3 -m PyBarePlot   # Using python module
python3 PyBarePlot.pyz  # Using python executable
PyBarePlot.exe          # Using python Windows executable

PyBarePlot --values 30 50 20 0 10 -o examples/simple.svg

PyBarePlot --type pie --values 35 25 18 7 10 5 --labels Creds Phish Vuln Brute Config Other --graph-name "Accounts breach causes" --colors "#ff6384cc" "#ff9f40cc" "#ffcd56cc" "#4bc0c0cc" "#36a2ebcc" "#9966ffcc" --theme dark --legend --width 800 --height 800 --margin-top 20 --margin-bottom 30 --margin-left 40 --margin-right 20 -o examples/pie.svg --open

PyBarePlot --type radar --values 4.5 4.0 3.5 4.0 4.5 4.5 --values 2.5 2.0 2.0 2.0 1.5 2.5 --values 3.5 2.5 2.5 2.5 2.0 3.0 --point-labels MFA Patch Phish Detect Resp Backup --graph-name "Big Enterprises" --graph-name "SME" --graph-name "Public Sector" --colors "#36a2eb" "#ff9f40" "#9966ff" --theme dark --legend --width 700 --height 700 --margin-top 20 --margin-bottom 30 --margin-left 40 --margin-right 20 -o examples/radar.svg --open

PyBarePlot --type lines --values 36 30 16 16 --values 25 22 13 13 --values 16 20 20 31 --labels 2023 2024 2025 2026 --graph-name Phishing --graph-name Credentials --graph-name Vulns --graph-color "#ff6384" --colors "#ff6384" "#ff6384" "#ff6384" "#ff6384" --graph-color "#36a2eb" --colors "#36a2eb" "#36a2eb" "#36a2eb" "#36a2eb" --graph-color "#ff9f40" --colors "#ff9f40" "#ff9f40" "#ff9f40" "#ff9f40" --theme dark --legend --show-points --width 900 --height 450 --margin-top 20 --margin-bottom 30 --margin-left 40 --margin-right 20 -o examples/lines.svg --open

PyBarePlot --type grouped-bars --values 100 85 45 45 --values 100 90 55 55 --values 100 125 125 190 --labels 2023 2024 2025 2026 --graph-name Phishing --graph-name Credentials --graph-name Vulns --graph-color "#ff6384" --colors "#ff6384" "#ff6384" "#ff6384" "#ff6384" --graph-color "#36a2eb" --colors "#36a2eb" "#36a2eb" "#36a2eb" "#36a2eb" --graph-color "#ff9f40" --colors "#ff9f40" "#ff9f40" "#ff9f40" "#ff9f40" --theme dark --legend --width 900 --height 450 --margin-top 20 --margin-bottom 30 --margin-left 40 --margin-right 20 -o examples/grouped-bars.svg --open

PyBarePlot --type horizontal-bars --values 9.77 6.08 5.56 5.45 5.29 5.20 5.08 3.48 3.40 2.90 --labels Health Finance Industry Tech Energy Pharma Services Retail Education Hospitality --graph-name "Cost (M$)" --graph-color "#36a2eb" --colors "#ff4d4d" "#ff7a45" "#ff9f40" "#ffb347" "#ffc857" "#ffd166" "#ffe082" "#8bd17c" "#66c2a5" "#4bc0c0" --theme dark --width 900 --height 550 --margin-top 20 --margin-bottom 30 --margin-left 120 --margin-right 20 -o examples/horizontal-bars.svg --open

Help:

~# PyBarePlot --help
usage: PyBarePlot PyBarePlot         [-h] [-v VALUE [VALUE ...]] [--csv FILE] [--json FILE] [--mjson FILE]
                                     [-t {lines,bars,grouped-bars,stacked-bars,horizontal-bars,horizontal-grouped-bars,horizontal-stacked-bars,pie,boxplot,radar,gradient-line,step-line,step-line-optimized,bar,line,hbar,horizontal,stack,group,box,gradient,step}]
                                     [--theme {light,dark,transparent}] [-W WIDTH] [-H HEIGHT] [--margin-top MARGIN_TOP] [--margin-bottom MARGIN_BOTTOM]
                                     [--margin-left MARGIN_LEFT] [--margin-right MARGIN_RIGHT] [--graph-name NAME [NAME ...]] [--labels LABEL [LABEL ...]]
                                     [--graph-color NAME] [-c COLOR [COLOR ...]] [--gradient VALUE [VALUE ...]] [--color-step MIN MAX COLOR] [--legend]
                                     [--show-points] [--x-zone START END COLOR] [--y-zone START END COLOR] -o FILE [--open]

Generate SVG charts from the command line.

options:
  -h, --help            show this help message and exit

Input:
  -v, --values VALUE [VALUE ...]
                        Graph values. Repeat the option to create multiple graphs. Example: --values 1 2 3 --values 4 5 6 (default: [])
  --csv FILE            Load one graph from a CSV file. Repeat the option to load multiple CSV files.Format: FILE[;GRAPH_NAME[;GRAPH_COLOR]] (default: [])
  --json FILE           Load one graph from a JSON file. Repeat the option to load multiple JSON files.Format: FILE[;GRAPH_NAME[;GRAPH_COLOR]] (default:
                        [])
  --mjson FILE          Load one or more graphs from a Multi-JSON file. Repeat the option to load multiple files.Format: FILE[;GRAPH_NAME[;GRAPH_COLOR]]
                        (default: [])

Chart:
  -t, --type {lines,bars,grouped-bars,stacked-bars,horizontal-bars,horizontal-grouped-bars,horizontal-stacked-bars,pie,boxplot,radar,gradient-line,step-line,step-line-optimized,bar,line,hbar,horizontal,stack,group,box,gradient,step}
                        Chart type. (default: line)
  --theme {light,dark,transparent}
                        Chart theme. (default: light)
  -W, --width WIDTH     SVG width. (default: 800)
  -H, --height HEIGHT   SVG height. (default: 400)
  --margin-top MARGIN_TOP
                        Top margin. (default: 20)
  --margin-bottom MARGIN_BOTTOM
                        Bottom margin. (default: 30)
  --margin-left MARGIN_LEFT
                        Left margin. (default: 40)
  --margin-right MARGIN_RIGHT
                        Right margin. (default: 20)

Labels:
  --graph-name NAME [NAME ...]
                        Graph name. Repeat once for each graph. (default: [])
  --labels LABEL [LABEL ...]
                        Point labels. (default: [])*
  --point-labels LABEL [LABEL ...]
                        Default labels applied to all graphs (used when per-graph labels are not provided). (default: [])

Colors:
  --graph-color NAME    Graph color. Repeat once for each graph. (default: [])
  -c, --colors COLOR [COLOR ...]
                        Point colors. (default: [])
  --gradient VALUE [VALUE ...]
                        Gradient colors. Examples: --gradient green red --gradient green red 0 100 (default: None)
  --color-step MIN MAX COLOR
                        Color step definition. (default: [])

Decorations:
  --legend              Draw graph legend. (default: False)
  --show-points         Display graph points. (default: False)
  --x-zone START END COLOR
                        Highlight an X zone. (default: [])
  --y-zone START END COLOR
                        Highlight a Y zone. (default: [])

Output:
  -o, --output FILE     Destination SVG file. (default: None)
  --open                Open the generated SVG after saving. (default: False)

~# 

Python script

from PyBarePlot import *

chart = SVGChart()
chart.plot_line(Graph([30, 50, 20, 0, 10]))
chart.save("examples/simple.svg")

graph = Graph([DataPoint(35, name="Creds"), DataPoint(25, name="Phish"), DataPoint(18, name="Vuln"), DataPoint(7,  name="Brute"), DataPoint(10, name="Config"), DataPoint(5,  name="Other")], name="Accounts breach causes")
chart = SVGChart(width=800, height=800, margin_top=20, margin_bottom=30, theme="dark")
chart.plot_pie(graph, fill_opacity=0.65, stroke_opacity=1.0)
chart.draw_pie_legend(graph, fill_opacity=0.65, stroke_opacity=1.0)
chart.save("examples/pie.svg")

big = Graph([DataPoint(v, name=n) for v, n in zip([4.5, 4.0, 3.5, 4.0, 4.5, 4.5], ["MFA", "Patch", "Phish", "Detect", "Resp", "Backup"])], name="Big Enterprises", default_color="#36a2eb")
sme = Graph([DataPoint(v, name=n) for v, n in zip([2.5, 2.0, 2.0, 2.0, 1.5, 2.5], ["MFA", "Patch", "Phish", "Detect", "Resp", "Backup"])], name="SME", default_color="#ff9f40")
public = Graph([DataPoint(v, name=n) for v, n in zip([3.5, 2.5, 2.5, 2.5, 2.0, 3.0], ["MFA", "Patch", "Phish", "Detect", "Resp", "Backup"])], name="Public Sector", default_color="#9966ff")
chart = SVGChart(700, 700, margin_top=20, margin_bottom=30, theme="dark")
chart.plot_radar([big, sme, public], fill_opacity=0.2)
chart.draw_legend([big, sme, public])
chart.save("examples/radar.svg")

phishing = Graph([DataPoint(v, name=n) for v, n in zip([36, 30, 16, 16], ["2023","2024","2025","2026"])], name="Phishing", default_color="#ff6384")
creds = Graph([DataPoint(v, name=n) for v, n in zip([25, 22, 13, 13], ["2023","2024","2025","2026"])], name="Credentials", default_color="#36a2eb")
vuln = Graph([DataPoint(v, name=n) for v, n in zip([16, 20, 20, 31], ["2023","2024","2025","2026"])], name="Vulns", default_color="#ff9f40")
chart = SVGChart(900, 450, margin_top=20, margin_bottom=30, theme="dark")
chart.plot_lines([phishing, creds, vuln])
chart.draw_legend([phishing, creds, vuln])
chart.save("examples/lines.svg")

phishing = Graph([DataPoint(v, name=n, color="#ff6384") for v, n in zip([100, 85, 45, 45], [2023, 2024, 2025, 2026])], name="Phishing", default_color="#ff6384")
creds = Graph([DataPoint(v, name=n, color="#36a2eb") for v, n in zip([100, 90, 55, 55], [2023, 2024, 2025, 2026])], name="Credentials", default_color="#36a2eb")
vuln = Graph([DataPoint(v, name=n, color="#ff9f40") for v, n in zip([100, 125, 125, 190], [2023, 2024, 2025, 2026])], name="Vulns", default_color="#ff9f40")
chart = SVGChart(900, 450, margin_top=20, margin_bottom=30, theme="dark")
chart.plot_grouped_bars([phishing, creds, vuln])
chart.draw_legend([phishing, creds, vuln])
chart.save("examples/grouped-bars.svg")

graph = Graph([DataPoint(v, name=n, color=c) for v, n, c in zip([9.77, 6.08, 5.56, 5.45, 5.29, 5.20, 5.08, 3.48, 3.40, 2.90], ["Health", "Finance", "Industry", "Tech", "Energy", "Pharma", "Services", "Retail", "Education", "Hospitality"], ["#ff4d4d", "#ff7a45", "#ff9f40", "#ffb347", "#ffc857", "#ffd166", "#ffe082", "#8bd17c", "#66c2a5", "#4bc0c0"])], name="Cost (M$)", default_color="#36a2eb")
chart = SVGChart(900, 550, margin_top=20, margin_bottom=30, margin_left=120, theme="dark")
chart.plot_horizontal_bars([graph])
chart.draw_pie_legend(graph)
chart.save("examples/horizontal-bars.svg")

Gallery

Pie chart

Radar chart

Line chart

Grouped bars

Horizontal bars

Links

• Pypi
• Github
• Documentation
• Python executable
• Python Windows executable

License

Licensed under the GPL, version 3.