ntcharts
is a Golang Terminal Charting library for the Bubble Tea Framework and other TUIs.
We supply many chart types within the glory of your terminal!
Type | Description |
---|---|
Canvas | A 2D grid to plot arbitrary runes, with LipGloss for styling and BubbleZone for mousing. It is the foundation for all the following charts. |
Bar Chart | Displays values as either horizontal rows or vertical columns. |
Heat Map | Displays (x,y) values on a color-mapped heatmap. |
Line Chart | Displays (X,Y) data points onto a 2D grid in various types of charts. |
OHLC/Candle Chart | Displays Open, High, Low, Close values as candlesticks. |
Scatter Chart | Plots abitrary runes onto (X,Y) coordinates. |
Streamline Chart | Displays a continuous a line moving across the Canvas from the right side to the left side. |
Time Series Chart | Displays lines with values on the Y axis and time values on the X axis. |
Waveline Chart | A line chart that connects points in a wave pattern. |
Sparkline | A small, simple visual of data chart for quick understanding. |
This tutorial creates a simple Time Series Chart with two data sets utilizing the Bubble Tea framework, Lip Gloss for styling and BubbleZone for mouse support.
See the examples
folder for code samples and visuals of each type.
package main
import (
"fmt"
"github.com/NimbleMarkets/ntcharts/canvas"
"github.com/charmbracelet/lipgloss"
)
func main() {
c := canvas.New(5, 2)
c.SetLinesWithStyle(
[]string{"hello", "world"},
lipgloss.NewStyle().Foreground(lipgloss.Color("6"))) // cyan
fmt.Println(c.View())
}
This example produces the following canvas with Lip Gloss foreground color:
package main
import (
"fmt"
"github.com/NimbleMarkets/ntcharts/barchart"
"github.com/charmbracelet/lipgloss"
)
func main() {
d1 := barchart.BarData{
Label: "A",
Values: []barchart.BarValue{
{"Item1", 21.2, lipgloss.NewStyle().Foreground(lipgloss.Color("10"))}}, // green
}
d2 := barchart.BarData{
Label: "B",
Values: []barchart.BarValue{
{"Item1", 15.2, lipgloss.NewStyle().Foreground(lipgloss.Color("9"))}}, // red
}
bc := barchart.New(11, 10)
bc.PushAll([]barchart.BarData{d1, d2})
bc.Draw()
fmt.Println(bc.View())
}
This example produces the following bar chart with green and red bars:
package main
import (
"fmt"
"github.com/NimbleMarkets/ntcharts/linechart/streamlinechart"
)
func main() {
slc := streamlinechart.New(13, 10)
for _, v := range []float64{4, 6, 8, 10, 8, 6, 4, 2, 0, 2, 4} {
slc.Push(v)
}
slc.Draw()
fmt.Println(slc.View())
}
This example produces the following streamline chart:
│ ╭╮
8│ ││
│ ╭╯╰╮
6│ │ │
│╭╯ ╰╮
4├╯ ╰╮ ╭
│ │ │
2│ ╰╮╭╯
│ ││
0│ ╰╯
package main
import (
"fmt"
"time"
"github.com/NimbleMarkets/ntcharts/linechart/timeserieslinechart"
)
func main() {
tslc := timeserieslinechart.New(41, 10)
for i, v := range []float64{0, 4, 8, 10, 8, 4, 0, -4, -8, -10, -8, -4, 0} {
date := time.Now().Add(time.Hour * time.Duration(24*i))
tslc.Push(timeserieslinechart.TimePoint{date, v})
}
tslc.DrawBraille()
fmt.Println(tslc.View())
}
This example produces the following time series chart using braille runes starting with today's date:
10│ ⣀⠤⠒⠉⠒⠤⡀
│ ⡠⠊ ⠈⠢⡀
5│ ⡠⠊ ⠈⠢⡀
│⡠⠊ ⠈⠑⢄ ⢀
0│ ⠑⡄ ⡔⠁
│ ⠈⠢⡀ ⡠⠊
-5│ ⠈⠢⡀ ⡠⠊
│ ⠈⠑⠢⢄⡠⠔⠊
-10└─────────────────────────────────────
'24 03/27 03/31 04/03 04/05
package main
import (
"fmt"
"github.com/NimbleMarkets/ntcharts/canvas"
"github.com/NimbleMarkets/ntcharts/linechart/wavelinechart"
)
func main() {
wlc := wavelinechart.New(12, 10, wavelinechart.WithYRange(-3, 3))
wlc.Plot(canvas.Float64Point{1.0, 2.0})
wlc.Plot(canvas.Float64Point{3.0, -2.0})
wlc.Plot(canvas.Float64Point{5.0, 2.0})
wlc.Plot(canvas.Float64Point{7.0, -2.0})
wlc.Plot(canvas.Float64Point{9.0, 2.0})
wlc.Draw()
fmt.Println(wlc.View())
}
This example produces the following waveline chart:
3│
│╭╮ ╭╮ ╭
2│││ ││ │
│││ ││ │
0├╯╰╮╭╯╰╮╭╯
│ ││ ││
-2│ ││ ││
│ ╰╯ ╰╯
-3└─────────
0 2 4 6
package main
import (
"fmt"
"github.com/NimbleMarkets/ntcharts/sparkline"
)
func main() {
sl := sparkline.New(10, 5)
sl.PushAll([]float64{7.81, 3.82, 8.39, 2.06, 4.19, 4.34, 6.83, 2.51, 9.21, 1.3})
sl.Draw()
fmt.Println(sl.View())
}
This example produces the following sparkline:
Heat Maps map values to colors on a 2D grid. The following example creates a heatmap of the function sin(sqrt(x^2 + y^2))
. There are more examples in the examples
README.
package main
import (
"fmt"
"math"
"github.com/NimbleMarkets/ntcharts/heatmap"
)
func main() {
hm := heatmap.New(20, 20, heatmap.WithValueRange(0, 1))
hm.SetXYRange(-1, 1, -1, 1)
for x := float64(-1); x < 1.0; x += 1.0 / float64(hm.GraphWidth()) {
for y := float64(-1); y < 1.0; y += 1.0 / float64(hm.GraphHeight()) {
val := math.Sin(math.Sqrt(x*x + y*y))
hm.Push(heatmap.NewHeatPoint(x, y, val))
}
}
hm.Draw()
fmt.Println(hm.View())
}
This example (source) produces the following heatmap:
We welcome contributions and feedback. Please adhere to our Code of Conduct when engaging our community.
Thanks to Charm.sh for making the command line glamorous and sharing Bubble Tea and Lip Gloss and more. Thanks to BubbleZone for bringing the mouse support 🐭.
Thanks also to asciigraph, ratatui, and termdash for inspiration.
Released under the MIT License, see LICENSE.txt.
Copyright (c) 2024 Neomantra Corp.
Made with ❤️ and 🔥 by the team behind Nimble.Markets.