ccharts

Financial and statistical data in, a string out. High-density terminal charts drawn with Unicode block characters and returned as plain text strings — so the chart goes wherever text goes: a terminal, a log line, a chat message, an HTML <pre>, a commit comment, or a printf.

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2026-07-20                                                2026-07-24

There is no canvas, no image buffer, no GUI, and no terminal detection hooks — one function call returns a string, and what you do with it is your business.

Written as a single-header C89 library with a flat C ABI and idiomatic bindings for Python, Rust, Go, JavaScript/WASM, .NET/C#, Java, Ruby, Lua, and Julia. Every binding produces byte-identical output across platforms.

Language Ecosystem

Language	Package / Target	Registry	Installation Command
Python	`ccharts`	PyPI	`pip install ccharts` (or `pip install ccharts[pandas]`)
Rust	`ccharts`	crates.io	`cargo add ccharts`
Go	`ccharts`	GitHub	`go get github.com/dethrandir/ccharts/bindings/go/ccharts`
JavaScript / WASM	`@dethrandir/ccharts`	npm	`npm install @dethrandir/ccharts`
.NET / C#	`Ccharts`	NuGet	`dotnet add package Ccharts`
Java (JDK 22+)	`io.github.dethrandir:ccharts`	Maven Central	Maven / Gradle dependency
Ruby	`ccharts`	RubyGems	`gem install ccharts`
Lua	`ccharts`	LuaRocks	`luarocks install ccharts`
Julia	`Ccharts`	General	`using Pkg; Pkg.add("Ccharts")`

Supported Chart Types

ccharts supports 9 visual chart types, each optimized with fractional Unicode glyphs:

  1. Line Chart          2. Candlestick          3. Pie / Donut
  328.00██████             330.25▄▄▄▄▄ █████               ████████      
              █                         │                ████████████    
              █                                         ██████  ██████   
              █▁▁▁▁                     █████           ████      ████   
                                300.75  █████             ██████████     
                                2026-07-20              Kira  40 (40%)

  4. Histogram           5. Sparkline            6. Categorical Bar
         8     ████      ▂▃▅▆▇██▇▆▅▄▃            100.00      ████        
               ████                                          ████  ████  
         1 ████████                              0.00  ████  ████  ████  
       3.10    7.90                                    Q1    Q2    Q3    

  7. Stacked Bar         8. Heatmap              9. Box Plot
       150.00  ████      Mon █ █ █ █ █ █         120.00        │         
               ████      Tue █ █ █ █ █ █                       ████      
         0.00  ████      Wed █ █ █ █ █ █          10.00  ▂     █   │     
               Prod      Thu █ █ █ █ █ █                 Cat A Cat B

Line (line): High-resolution curves using 8 vertical sub-pixel levels (▁▂▃▄▅▆▇█). Supports area fills, single or directional colors, and automatic downsampling.
Candlestick (candle): Open, High, Low, Close (OHLC) financial charts with solid bodies (▀▄█), thin vertical wicks (│), and automatic downsampling (cc_agg_ohlc).
Pie & Donut (pie): Proportional charts with terminal aspect ratio compensation, custom hole sizes (donut=True), slice gaps, center text, and customizable legends.
Histogram (histogram / hist): Frequency distributions across continuous sample data with automatic or custom binning and outlier clamping.
Sparkline (sparkline / spark): Compact, axis-less micro trend lines (height 1 to 3) for inline dashboards and log lines.
Bar (bar): Categorical bar charts scaled from a shared zero baseline with 8 sub-pixel tops and categorical label footers.
Stacked Bar (stacked_bar / stack): Multi-series part-to-whole categorical breakdowns showing total sums and series segments.
Heatmap (heatmap / heat): 2-D matrix density visualization using a 10-step deterministic colormap ladder and 2-D block-average downsampling.
Box Plot (boxplot / box): Statistical 5-number summaries ($Min, Q_1, Median, Q_3, Max$) computed deterministically via nearest-rank quartiles.

Quickstart Examples

C (Single-Header)

#define CCHARTS_IMPLEMENTATION
#include "ccharts.h"

int main(void) {
    const char* json = "[{\"open\":100,\"high\":105,\"low\":98,\"close\":103}]";
    cc_ohlc_t* ohlc = NULL;
    int size = 0;
    cc_json_to_ohlc(json, &ohlc, &size);

    cc_settings_t s = { .rise_color = CC_COLOR_BLUE, .show_prices = 1, .show_times = 1 };
    char* chart = cc_line_create(ohlc, size, 60, 8, &s);
    printf("%s\n", chart);

    free(chart);
    free(ohlc);
    return 0;
}

Python

from ccharts import Chart

# OHLC Chart
chart = Chart.from_arrays(opens, highs, lows, closes, ts=epoch_seconds)
print(chart.candle(width=60, height=8, show_prices=True))

# Standalone Visuals
print(Chart.pie(["Rent", "Food", "Tech"], [45, 30, 25], donut=True))
print(Chart.histogram(samples, bin_count=10, show_bins=True))
print(Chart.sparkline(samples, height=1))

Rust

use ccharts::{Chart, Color, Settings, PieSlice, PieOptions};

let chart = Chart::from_arrays(&opens, &highs, &lows, &closes, Some(&ts))?;
println!("{}", chart.line(60, 8, &Settings::new().rise(Color::Blue))?);

let slices = [PieSlice::new(Some("Rent"), 45.0), PieSlice::new(Some("Food"), 30.0)];
println!("{}", Chart::pie(&slices, 24, 10, &PieOptions::new().donut(true))?);

Go

chart, _ := ccharts.FromArrays(opens, highs, lows, closes, ts)
defer chart.Close()
out, _ := chart.Candle(60, 8, &ccharts.Options{ShowPrices: true})
fmt.Println(out)

JavaScript / WASM

import { Chart, Color } from "@dethrandir/ccharts";

const chart = Chart.fromArrays(opens, highs, lows, closes);
console.log(chart.candle({ width: 60, height: 8, showPrices: true }));
chart.free();

.NET / C#

using var chart = Chart.FromArrays(opens, highs, lows, closes);
Console.Write(chart.Line(new ChartOptions { RiseColor = Color.Blue, ShowPrices = true }));

Java (JDK 22+)

try (Chart chart = Chart.fromArrays(opens, highs, lows, closes)) {
    System.out.print(chart.candle(ChartOptions.builder().size(60, 8).showPrices(true).build()));
}

Ruby

chart = Ccharts::Chart.from_arrays(open: opens, high: highs, low: lows, close: closes)
puts chart.line(60, 8, Ccharts::Settings::ChartSettings.new.show_prices(true))

Lua

local chart = ccharts.from_arrays(opens, highs, lows, closes)
print(chart:candle(60, 8, { show_prices = true }))

Julia

chart = Chart.from_arrays(opens, highs, lows, closes)
println(chart.candle(60, 8; show_prices=true))

Settings & Colors

Field	Meaning	Default
`rise_color`	Color for rising segments / bars / boxes	Green (`\x1b[32m`)
`fall_color`	Color for falling segments / candles	Red (`\x1b[31m`)
`bg_color`	Background of empty cells	`None` (terminal default)
`area_color`	Line fill color / Whiskers color	`None`
`single_color`	1 = one uniform line color; 0 = per-segment direction	0
`show_prices`	Prepend 8-column price/count value axis	0
`show_times`	Append first/last timestamp footer	0
`plain`	Strip all ANSI escape sequences	0

Setting plain=True (or passing empty strings for color options) completely strips ANSI escape codes, rendering clean plain text ideal for file exports, commit comments, Discord code blocks, and logs.

Detailed Documentation

Comprehensive guides are available in the docs/ directory:

🚀 Getting Started — Installation, building from source, and basic usage across all languages.
📊 Chart Types Guide — In-depth parameters, sub-pixel rendering mechanics, and visual outputs for all 9 chart types.
🔌 Language Bindings Guide — Package managers, memory management (RAII/Cleaners/Finalizers), and cross-language API mappings.
🛠️ C API & Flat ABI Reference — Single-header macros, structs, functions, and ABI status code contracts.
🏗️ Architecture & Engine Design — Sub-pixel grid pipeline, downsampling math, 32-byte slot memory model, and determinism.

Repository Structure

ccharts.h — Core single-header C library containing all rendering algorithms.
abi/ — Flat C ABI (ccharts_abi.h/.c) exporting opaque handles and error codes for FFIs.
bindings/ — Idiomatic bindings:
- bindings/rust/ — Rust crate (ccharts).
- bindings/go/ — Go module (ccharts).
- bindings/js/ — Standalone WebAssembly npm package (@dethrandir/ccharts).
- bindings/dotnet/ — .NET 8+ P/Invoke package (Ccharts).
- bindings/java/ — Java 22+ FFM API library (io.github.dethrandir:ccharts).
- bindings/ruby/ — Ruby gem (ccharts).
- bindings/lua/ — LuaRocks package (ccharts).
- bindings/julia/ — Julia package (Ccharts).
ccharts/ — Python package (ccharts) wrapping C core + pandas integration.
docs/ — Modular documentation guides.
conformance/ — 70 cross-language test cases (cases.json) and byte-for-byte golden files (golden/*.txt).
scripts/ — Version consistency checks, source sync tools, and golden generators.

License

ccharts is released under the MIT License.

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ccharts 3.0.0

ccharts

Language Ecosystem

Supported Chart Types

Quickstart Examples

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Python

Rust

Go

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Java (JDK 22+)

Ruby

Lua

Julia

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Algorithm	Hash digest
SHA256	`f75a890b08262407af4352bc056adc0d1b36f112cfb96e0e710a21dff9c7c244`
MD5	`54ab9cf684a0333383f37ae06e241dca`
BLAKE2b-256	`1ea6add1f8bca0089c6af8bb15d5da3bdfbfdaa0414dcf1ba44a192480356d32`

Algorithm	Hash digest
SHA256	`560bb82639111418c728e20041bcef19bdd5b88ac4291b3157c631b2fcb7b60f`
MD5	`df86ca0e93d86dacedcf4291c1aa573b`
BLAKE2b-256	`584590588271a3d6339ad3973b89fa732161fd0f1523f75a572d5a33207aaee7`

Algorithm	Hash digest
SHA256	`f82ee5c9436f538b4f71384aaefdc75126fd6cce208219b00ddf12d2ee5cc2ee`
MD5	`e11c6b869738415a3b38729b162d8f21`
BLAKE2b-256	`14441de4759089a76e13e366b9ac5f7bcbc5f5c3895faa908087a36beaae2be2`

Algorithm	Hash digest
SHA256	`a90448841ec4e41a1a50f8a70b3dec6f9841774e3c87c45cc6e5b3d026f2ef38`
MD5	`4c82cffaa32b88abdb45f2e9d675e2f4`
BLAKE2b-256	`d2121e954fc57d8311e5265ad690f98505cfc7b59a639f267dc73fb9cfc61ae3`

Algorithm	Hash digest
SHA256	`ea15623a8238706e937c7e9207b88574a34b3b13a578ecb1f553a34555b43b6f`
MD5	`a00421866d83431d573a4802adb89cc1`
BLAKE2b-256	`e3d67024095b8154823b2f01ff193d197d51a79b531122ac79fbcb5bd970fba5`

Algorithm	Hash digest
SHA256	`08db185b2966add12e7083ee52980b174ca9b1c12ce528609113bcfc36bf6946`
MD5	`edf6392e0ccdbb07093c6e1c34437e4c`
BLAKE2b-256	`022e70f1f7fd51124b190e9e3d5fa79ec6909007490d6d60ab79b6e7e0388eb7`

Algorithm	Hash digest
SHA256	`cede0ea8456912f709f366a3bb51f3fb53547c3be3eb8892c0a610bb7e6cfa06`
MD5	`ee10a93cd1ca07d4e03239d787cd4c93`
BLAKE2b-256	`04fe041e133a95081a69848ecb0ed08f1cdd11431fbf3017cd2709de66d0c263`

Algorithm	Hash digest
SHA256	`f3a7773b9acfc4d758871e7a91bdb5c3027bd8cf6b2274991cd1718c54e2c88a`
MD5	`025537d4e2a2c7b492541d2448022b10`
BLAKE2b-256	`ef944a12bc122ed862110b6fb99b76e8e04556f27cde99a02cb410740d8ef3df`

Algorithm	Hash digest
SHA256	`48c6834b97721ba8b533c495ba24574d57d0584c2dccde43e633be3a38dc131b`
MD5	`c7f10c56219ec871fc4ac0accc4ec59a`
BLAKE2b-256	`a765354c907e1cf23ca342dbabe21904985b33c60ccf0c4c9e93f1875cb0addf`

Algorithm	Hash digest
SHA256	`4568ca11b1a62a68cec1c8f8f0e25359f7bb69010d6f1d4021756a28d5279616`
MD5	`2549c96a50858cdde7f391d625536ad6`
BLAKE2b-256	`2172a0856953b3fc909b6bd86814d13926240d1350ee24c217acdc04d5d73151`