Bar Chart with Error Bars in Python, R, Julia and JavaScript

Source code in 15 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts.

A bar chart with error bars displays categorical data as rectangular bars with vertical (or horizontal) lines extending from each bar to indicate uncertainty or variability. Error bars typically represent standard deviation, standard error, confidence intervals, or min/max ranges. This visualization is essential for comparing group means while communicating the reliability and precision of each measurement.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme

Preview render from the Matplotlib implementation.

Implementations

• Bar Chart with Error Bars in Altair (Python)
• Bar Chart with Error Bars in Bokeh (Python)
• Bar Chart with Error Bars in lets-plot (Python)
• Bar Chart with Error Bars in Matplotlib (Python)
• Bar Chart with Error Bars in Plotly (Python)
• Bar Chart with Error Bars in plotnine (Python)
• Bar Chart with Error Bars in Pygal (Python)
• Bar Chart with Error Bars in Seaborn (Python)
• Bar Chart with Error Bars in ggplot2 (R)
• Bar Chart with Error Bars in Makie.jl (Julia)
• Bar Chart with Error Bars in Chart.js (JavaScript)
• Bar Chart with Error Bars in D3.js (JavaScript)
• Bar Chart with Error Bars in Apache ECharts (JavaScript)
• Bar Chart with Error Bars in Highcharts (JavaScript)
• Bar Chart with Error Bars in MUI X Charts (JavaScript)