· 5 min read
Top 3 Likert Chart Tools Compared
Heshan Fernando
Co-founder & COO
Twelve survey questions, five response options each, and a stacked bar chart where every bar starts at zero. Comparing question three against question nine means measuring segments by eye, which nobody does accurately.
The fix is well established: centre the bars on neutral so disagreement extends left and agreement extends right. Suddenly the questions sort themselves visually and the ones people actually disagreed about stand out. Getting there is the awkward part, because most chart tools have a stacked bar option and no concept of a diverging one.
How to judge a Likert chart tool
Does it centre on neutral? This is the whole point. A 100% stacked bar starting at zero makes cross-question comparison a guessing game.
How does it treat the neutral category? Split across the centre, placed to one side, or excluded — all three are used, and they change what the chart says.
Can you control colour? Diverging palettes need a sensible midpoint. Default categorical colours actively work against the design.
How much setup? A web form, a spreadsheet manoeuvre, or an R package.
The comparison
| Tool | Best for | Free tier | Watch out |
|---|---|---|---|
| MakeCharts Diverging Bar | A quick chart with real customisation | Free, no sign-up | SVG export needs a paid plan |
| ChartGen.ai | Describing the chart rather than configuring it | Free, no account required | AI formatting decisions are not yours |
| R with the HH package | Publication-quality, reproducible output | Free, open source | Requires R and a real learning curve |
Facts checked August 2026; tools change their plans. Table covers only the 3 alternatives — our tool gets its own section below.
MakeCharts Diverging Bar
The most practical web option. It builds diverging bar charts with positive and negative values extending from a central baseline, and its own documentation names survey agree/disagree responses as a primary use case — it is explicitly designed for data with a meaningful midpoint rather than repurposed from a generic bar chart.
Customisation is genuinely useful: horizontal or vertical orientation, separate colours for positive and negative values, adjustable bar thickness and spacing, legend placement and grid lines. Free with no sign-up, and you can download a PNG. SVG export sits behind a paid plan, which matters if the chart is going into print.
ChartGen.ai
The fastest path from data to something on screen. You describe the data or paste it, and it detects the diverging pattern, centres the baseline, and applies a colour scheme automatically. Free with no account required.
The trade is control. Automatic formatting means the decisions about neutral placement and colour midpoint are made for you, and for Likert data those decisions are the substance of the chart rather than styling. Useful for a first look; check what it chose before publishing it.
R with the HH package
The rigorous route. The HH package provides a likert() function built specifically for diverging stacked bars, and ggplot2 with position = 'fill' covers the proportional stacked case — all free and open source on CRAN.
This is what you use when the chart goes in a paper, needs to be reproducible from the raw responses, or has to be regenerated every time the survey runs. The cost is R itself: a real environment, a real language, and enough of a learning curve that it is not worth it for one chart.
Likert Chart Maker
Ours turns Likert responses into a diverging stacked bar chart centred on neutral, so agreement and disagreement read at a glance. The neutral centring is not an option to find in a menu — it is what the tool does, which is the difference between a chart type and a chart type you have to construct.
What it does not do: export SVG, offer arbitrary colour control, or regenerate itself from raw data on a schedule. For a print-quality figure, R’s HH package produces better output and always will. For turning survey results into a chart someone can read in a meeting, ours starts from the right design rather than asking you to build it. The Likert scale has a long methodological literature behind it, and how you treat the neutral point is a genuine analytical decision.
Which one to pick
- A figure for a paper or a repeatable report — R and the HH package.
- Colour and layout control in a browser — MakeCharts.
- A quick look with minimal effort — ChartGen.ai.
- A diverging Likert chart by default, not by construction — the tool below.
How to do it with Likert Chart Maker
- Open the Likert Chart Maker and enter your response counts per question.
- Let the chart centre on neutral; that alignment is what makes questions comparable.
- Sort questions by net agreement so the pattern reads top to bottom.
- Decide deliberately what to do with neutral responses, and say so in the caption.
The walkthrough is in how to chart Likert survey responses. Other data tools are in the tools directory.
You might also need
If the survey data needs reshaping first, the Long to Wide Format Converter gets responses into the right layout.
For designing the survey rather than charting it, the Podcast Listener Survey Builder covers question design that avoids leading answers.
Frequently asked questions
Why is a diverging stacked bar better for Likert data?
Because it aligns every question on the neutral point, so disagreement extends one way and agreement the other. A standard stacked bar starts every question at zero, which means comparing sentiment across questions requires mentally measuring segment lengths.
What should I do with neutral responses?
There are three defensible choices: split them across the centre, put them entirely on one side, or exclude them and chart only agreement versus disagreement. Each changes the visual balance, so pick one, apply it consistently, and state it.
Should I show counts or percentages?
Percentages for comparing questions, counts when sample sizes differ enough that a percentage would mislead. If one question had 30 responses and another 300, showing only percentages hides that difference entirely.
Final thought
Centre on neutral and sort by net agreement. Those two decisions do more for a survey chart than any amount of colour work, and both are made before you think about styling.