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Radar vs parallel coordinates

Two ways to compare profiles.

Short answer

Use a radar chart to compare two or three profiles by their shape across the same axes. Use parallel coordinates to compare many items across many measures and see the trade-offs as crossing lines.

Updated Nov 2, 2026 · AI sample data

Two models on six axes, radarScores out of 100 on reasoning, code, math, tool use, speed, cost: Atlas 3 92, 88, 84, 90, 72, 64; Kite 2 Pro 86, 90, 78, 82, 85, 80.REASONINGCODEMATHTOOL USESPEEDCOSTATLAS 3KITE 2 PRO
Two models on six axes, radar
ModelReasoningCodeMathTool useSpeedCost
Atlas 3928884907264
Kite 2 Pro869078828580

023 · RadarTwo of the five models as shapes: Atlas 3 and Kite 2 Pro.

Five models on six axes, parallel coordinatesScores out of 100 on reasoning, code, math, tool use, speed, cost: Atlas 3 92, 88, 84, 90, 72, 64; Kite 2 Pro 86, 90, 78, 82, 85, 80; Orion XL 90, 80, 88, 76, 60, 52; Vega 1.5 78, 74, 70, 72, 90, 88; Nova 70, 68, 64, 66, 94, 95.REASONINGCODEMATHTOOL USESPEEDCOSTATLAS 3KITE 2 PROORION XLVEGA 1.5NOVA
Five models on six axes, parallel coordinates
ModelReasoningCodeMathTool useSpeedCost
Atlas 3928884907264
Kite 2 Pro869078828580
Orion XL908088766052
Vega 1.5787470729088
Nova706864669495

049 · Parallel coordinatesAll five models across the six axes, one line each.

Same scores

The radar compares two profiles at a glance: Atlas 3 leads on reasoning, Kite 2 Pro on speed and cost. Parallel coordinates fit all five and show the trade-off: the fastest, cheapest model, Nova, scores lowest on reasoning.

If you ask

RadarParallel coordinates
AnswersHow two or three profiles differHow many items trade off across measures
ShowsShapes around a centreA line per item across axes
Best whenTwo or three itemsFive or more items
Avoid whenMany items overlapThere are only two measures
Data shapeScores on shared axesSeveral measures per item

Common mistakes

Radar

Too many shapes.Past three, outlines overlap.

Axes in random order.The shape depends on the order; keep related axes together.

Parallel coordinates

Axes on different scales with no labels.Label each axis's range.

Too many lines.Highlight the items that matter.

Other ways to show it

  • Model trade space5 production models by their mix of quality, speed and low cost: Atlas 3 50% / 20% / 30%, Kite 2 Pro 30% / 42% / 28%, Orion XL 72% / 10% / 18%, Vega 1.5 14% / 50% / 36%, Nova 22% / 22% / 56%.Atlas 3Kite 2 ProOrion XLVega 1.5NovaQUALITYSPEEDLOW COST
    Model trade space
    ModelQualitySpeedLow cost
    Atlas 350%20%30%
    Kite 2 Pro30%42%28%
    Orion XL72%10%18%
    Vega 1.514%50%36%
    Nova22%22%56%
    Model trade space5 production models by their mix of quality, speed and low cost: Atlas 3 50% / 20% / 30%, Kite 2 Pro 30% / 42% / 28%, Orion XL 72% / 10% / 18%, Vega 1.5 14% / 50% / 36%, Nova 22% / 22% / 56%.Atlas 3Kite 2 ProOrion XLVega 1.5NovaQUALITYSPEEDLOW COST
    Model trade space
    ModelQualitySpeedLow cost
    Atlas 350%20%30%
    Kite 2 Pro30%42%28%
    Orion XL72%10%18%
    Vega 1.514%50%36%
    Nova22%22%56%

    095 · TernaryRelationship · AI data

  • Return vs volatility · 30 d30-day return against volatility for 12 tokens in 3 groups; PEPE has the highest return at +34% with 118% volatility.+40%+20%0−20%30% VOL60%90%120%BTCETHLAYER 1DEFIMEME
    Return vs volatility · 30 d
    TokenGroupVolatilityReturnBubble size
    BTCLayer 138%+6%28
    ETHLayer 152%+9%14
    SOLLayer 174%+14%4.2
    AVAXLayer 188%−6%0.7
    LINKDeFi70%+3%0.6
    UNIDeFi82%−2%0.5
    AAVEDeFi78%+18%0.45
    MKRDeFi66%−9%0.3
    DOGEMeme96%+22%1.8
    PEPEMeme118%+34%0.9
    SHIBMeme104%−12%0.6
    BONKMeme114%−15%0.4
    Return vs volatility · 30 d30-day return against volatility for 12 tokens in 3 groups; PEPE has the highest return at +34% with 118% volatility.+40%+20%0−20%30% VOL60%90%120%BTCETHLAYER 1DEFIMEME
    Return vs volatility · 30 d
    TokenGroupVolatilityReturnBubble size
    BTCLayer 138%+6%28
    ETHLayer 152%+9%14
    SOLLayer 174%+14%4.2
    AVAXLayer 188%−6%0.7
    LINKDeFi70%+3%0.6
    UNIDeFi82%−2%0.5
    AAVEDeFi78%+18%0.45
    MKRDeFi66%−9%0.3
    DOGEMeme96%+22%1.8
    PEPEMeme118%+34%0.9
    SHIBMeme104%−12%0.6
    BONKMeme114%−15%0.4

    034 · ScatterRelationship · Crypto data

  • Signups by planNew paid accounts per month by plan, July to December 2026: Starter 2,980, Team 1,960, Business 880; December has Starter 570, Team 410 and Business 190.6004002000JULAUGSEPOCTNOVDECSTARTERTEAMBUSINESS
    Signups by plan
    MonthStarterTeamBusiness
    JUL420260110
    AUG460300120
    SEP510290150
    OCT480340140
    NOV540360170
    DEC570410190
    Signups by planNew paid accounts per month by plan, July to December 2026: Starter 2,980, Team 1,960, Business 880; December has Starter 570, Team 410 and Business 190.6004002000JULAUGSEPOCTNOVDECSTARTERTEAMBUSINESS
    Signups by plan
    MonthStarterTeamBusiness
    JUL420260110
    AUG460300120
    SEP510290150
    OCT480340140
    NOV540360170
    DEC570410190

    002 · Grouped barsCompare items · SaaS data

Get both

Radar, parallel coordinates and the other 130 types.

In Figma and React, in four sizes, light and dark. Pay once, every update.

023 · Radar type page049 · Parallel coordinates type page

See plans

Questions

Which one compares many models?

Parallel coordinates: one line per model, as many as fit.

Do the axes need the same scale?

On a radar, yes. Parallel coordinates can scale each axis on its own, labelled.

Do both come in every size?

Yes. Radar and Parallel coordinates come in XS, S, M and L, each laid out again for its size, in light and dark.

Do they install the same way?

Yes, one command each: npx shadcn add @chartory/radar and npx shadcn add @chartory/parallel-coordinates.

Still not sure? Start from what the chart has to show.

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