| Crates.io | dear-implot |
| lib.rs | dear-implot |
| version | 0.1.0 |
| created_at | 2025-09-13 17:32:30.731466+00 |
| updated_at | 2025-09-13 17:32:30.731466+00 |
| description | High-level Rust bindings to ImPlot with Dear ImGui compatibility |
| homepage | https://github.com/Latias94/dear-imgui |
| repository | https://github.com/Latias94/dear-imgui |
| max_upload_size | |
| id | 1837951 |
| size | 178,071 |
High-level Rust bindings for ImPlot, the immediate mode plotting library. This crate provides safe, idiomatic Rust bindings designed to work seamlessly with dear-imgui (C++ bindgen) rather than imgui-rs (cimgui).
Add to your Cargo.toml:
[dependencies]
dear-imgui = "0.11"
dear-implot = { path = "path/to/dear-implot" }
Basic usage:
use dear_imgui::*;
use dear_implot::*;
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut ctx = Context::create_or_panic();
let plot_ctx = PlotContext::create(&ctx);
// In your main loop:
let ui = ctx.frame();
let plot_ui = plot_ctx.get_plot_ui(&ui);
ui.window("My Plots")
.size([800.0, 600.0], Condition::FirstUseEver)
.build(|| {
if let Some(token) = plot_ui.begin_plot("Line Plot") {
let x_data = [0.0, 1.0, 2.0, 3.0, 4.0];
let y_data = [0.0, 1.0, 4.0, 9.0, 16.0];
// New modular API
LinePlot::new("Quadratic", &x_data, &y_data).plot();
token.end();
}
});
Ok(())
}
// Line plot
LinePlot::new("My Line", &x_data, &y_data).plot();
// Scatter plot
ScatterPlot::new("My Points", &x_data, &y_data).plot();
// Simple bar chart
BarPlot::new("Bars", &values)
.with_bar_size(0.8)
.plot();
// Positional bar chart
PositionalBarPlot::new("Positioned Bars", &x_positions, &values)
.with_bar_size(0.5)
.plot();
// 1D Histogram
HistogramPlot::new("Distribution", &data)
.with_bins(20)
.density()
.cumulative()
.plot();
// 2D Histogram
Histogram2DPlot::new("2D Distribution", &x_data, &y_data)
.with_bins(10, 10)
.plot();
let data: Vec<f64> = (0..100).map(|i| (i as f64 * 0.1).sin()).collect();
HeatmapPlot::new("Heat", &data, 10, 10)
.with_scale(-1.0, 1.0)
.with_bounds(0.0, 0.0, 1.0, 1.0)
.with_label_format("%.2f")
.plot();
let labels = vec!["A", "B", "C", "D"];
let values = [0.25, 0.35, 0.20, 0.20];
PieChartPlot::new(labels, &values, 0.5, 0.5, 0.4)
.normalize()
.exploding()
.with_angle0(90.0)
.plot();
let errors = [0.1, 0.2, 0.15, 0.3, 0.25];
ErrorBarsPlot::new("Measurements", &x_data, &y_data, &errors)
.horizontal()
.plot();
// Shaded area plot
ShadedPlot::new("Area", &x_data, &y_data)
.with_y_ref(0.0)
.plot();
// Shaded between two curves
ShadedBetweenPlot::new("Between", &x_data, &y1_data, &y2_data)
.plot();
if let Ok(token) = SubplotGrid::new("My Subplots", 2, 2)
.with_size([800.0, 600.0])
.with_flags(SubplotFlags::NONE)
.begin() {
// First subplot
if let Some(plot_token) = plot_ui.begin_plot("") {
LinePlot::new("Line", &x_data, &y_data).plot();
plot_token.end();
}
// Second subplot
if let Some(plot_token) = plot_ui.begin_plot("") {
BarPlot::new("Bars", &values).plot();
plot_token.end();
}
// ... more subplots
token.end();
}
let mut multi_plot = MultiAxisPlot::new("Multi-Axis")
.add_y_axis(YAxisConfig {
label: Some("Temperature (°C)"),
flags: AxisFlags::NONE,
range: Some((-10.0, 40.0)),
})
.add_y_axis(YAxisConfig {
label: Some("Pressure (hPa)"),
flags: AxisFlags::NONE,
range: Some((900.0, 1100.0)),
});
if let Ok(token) = multi_plot.begin() {
// Plot on first Y-axis
token.set_y_axis(0);
LinePlot::new("Temperature", &time, &temp).plot();
// Plot on second Y-axis
token.set_y_axis(1);
LinePlot::new("Pressure", &time, &pressure).plot();
token.end();
}
For a more unified API, you can use the PlotBuilder:
// Line plot
PlotBuilder::line("My Line", &x_data, &y_data).build()?;
// Bar plot
PlotBuilder::bar("My Bars", &values).build()?;
// Histogram
PlotBuilder::histogram("Distribution", &data).build()?;
// Heatmap
PlotBuilder::heatmap("Heat", &data, 10, 10).build()?;
All plot functions return Result<(), PlotError> for proper error handling:
match LinePlot::new("My Plot", &x_data, &y_data).validate() {
Ok(_) => {
// Plot is valid, proceed
LinePlot::new("My Plot", &x_data, &y_data).plot();
}
Err(PlotError::DataLengthMismatch { expected, actual }) => {
eprintln!("Data length mismatch: expected {}, got {}", expected, actual);
}
Err(PlotError::EmptyData) => {
eprintln!("Cannot plot empty data");
}
Err(e) => {
eprintln!("Plot error: {}", e);
}
}
This crate is designed to work seamlessly with the dear-imgui ecosystem:
See the examples/ directory for complete working examples:
plot_gallery.rs - Comprehensive showcase of all plot typesadvanced_features.rs - Subplots and multi-axis examplesreal_time_plotting.rs - Dynamic data visualizationThis crate requires:
The build process automatically handles:
This crate follows the same architectural patterns as dear-imgui:
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.