spectra-plot 0.2.1

GPU-accelerated scientific plotting

GPU-accelerated scientific plotting for C++20 and Python

Documentation · Quick Start · Examples · ROS2 Adapter

---

Why Spectra?

Most plotting libraries are CPU-bound, single-threaded, and treat animation as an afterthought. Spectra is different:

• GPU-first — Vulkan 1.2 rendering. Anti-aliased lines, 18 SDF markers, and dash patterns run entirely on the GPU.
• Real-time ready — Stream live sensor data at 60 fps with O(1) ring-buffer appends and zero-copy NumPy transfers.
• 2D + 3D in one library — Line, scatter, surface, mesh plots with Blinn-Phong lighting, colormaps, and orbit camera.
• Feels like MATLAB — spectra::plot(x, y, "r--o") one-liners that scale to multi-window, multi-tab workspaces.
• C++ and Python — Native C++20 library with a Python IPC bridge that auto-launches the backend.
• Headless export — Render to PNG, GIF, or MP4 without a window — perfect for CI and batch pipelines.

---

5-Second Demo

C++:

#include <spectra/easy.hpp>

int main() {
    spectra::plot({0.f, 1.f, 2.f, 3.f, 4.f},
                  {0.f, 1.f, 0.5f, 1.5f, 2.f}, "c-o");
    spectra::title("Hello Spectra");
    spectra::show();
}

Python:

import spectra as sp
sp.plot([0, 1, 4, 9, 16, 25])
sp.show()

---

Install

APT Repository (Ubuntu 22.04 / 24.04)

The fastest way to install on Ubuntu — adds the Spectra repo so apt handles updates automatically:

# 1. Import the signing key
curl -fsSL https://danlil240.github.io/Spectra/apt/spectra-archive-keyring.asc \
  | sudo gpg --dearmor -o /etc/apt/keyrings/spectra.gpg

# 2. Add the repository (auto-detects your Ubuntu codename)
echo "deb [signed-by=/etc/apt/keyrings/spectra.gpg] https://danlil240.github.io/Spectra/apt $(lsb_release -cs) main" \
  | sudo tee /etc/apt/sources.list.d/spectra.list

# 3. Install
sudo apt update
sudo apt install spectra

Python

pip install spectra-plot

No compiler or Vulkan SDK needed — just a working Vulkan runtime/driver.

Build from Source

sudo apt install build-essential cmake libvulkan-dev libglfw3-dev glslang-tools

git clone https://github.com/danlil240/Spectra.git
cd Spectra
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j$(nproc)

Other Artifacts

• .deb (direct download): sudo apt install ./spectra_<version>_amd64.deb. No -dev packages needed; apt resolves runtime dependencies.
• AppImage: download and run — a working Vulkan-capable driver is required.
• Python wheel: pip install spectra-plot.

Platform-specific setup, CMake options, Eigen integration, and packaging → Getting Started Guide

---

Feature Highlights

Domain	What you get
Core Rendering	Vulkan pipeline, MSAA 4x, GPU text, SDF anti-aliasing, format strings ("r--o")
3D Visualization	Surface, mesh, scatter, line — with lighting, transparency, wireframe, colormaps
Easy API	plot(), scatter(), subplot(), plot3(), surf() — 7 levels of progressive complexity
Animation	Frame callbacks, timeline editor, 7 keyframe interpolation modes, camera animator
UI	Command palette, undo/redo, docking/split view, inspector, configurable shortcuts
Data Interaction	Tooltips, crosshair, markers, linked axes, shared cursor, 14 data transforms
Multi-Window	Independent OS windows, tab tear-off, per-window Vulkan swapchain
Python	spectra.plot() one-liners, NumPy fast path, live streaming, auto-launch backend
Export	Headless PNG/GIF/MP4, CMake find_package, plugin API, workspace save/load
ROS2	Topic monitor, live plotter, bag player/recorder, TF tree, node graph, service caller

Full feature breakdown → Feature Guide

---

Python Quick Start

import spectra as sp
import numpy as np

x = np.linspace(0, 10, 500)

sp.subplot(2, 1, 1)
sp.plot(x, np.sin(x), label="sin")
sp.title("Sine")

sp.subplot(2, 1, 2)
sp.plot(x, np.cos(x), label="cos")
sp.title("Cosine")

sp.show()

Live streaming, 3D plots, statistical charts, and the Session API are covered in the documentation.

---

ROS2 Adapter

Replace the entire rqt suite with one GPU-accelerated tool. Topic monitor, live plotter, bag player/recorder, TF tree, node graph, parameter editor, service caller — all in a single window.

source /opt/ros/humble/setup.bash
cmake -S . -B build-ros2 -DSPECTRA_USE_ROS2=ON -DCMAKE_BUILD_TYPE=Release
ninja -C build-ros2 spectra-ros
./build-ros2/spectra-ros --topics /imu/data.linear_acceleration.x

Full ROS2 documentation → ROS2 Adapter Guide

---

40+ Examples

The examples/ directory covers every major feature — from basic line plots to 3D lit surfaces, timeline animation, multi-window tabs, and headless export.

./build/examples/basic_line
./build/examples/demo_3d
./build/examples/easy_api_demo

Full example index → Examples

---

Architecture

Spectra runs in two modes selected at runtime — no #ifdef:

• Inproc (default) — Single-process: App → WindowManager → Renderer → Vulkan
• Multiproc — Daemon (spectra-backend) + window agents via versioned TLV IPC protocol

All windows are peer-equivalent. No "primary window" concept. Stable FigureId ownership via FigureRegistry.

System topology, project structure, design decisions → Architecture Overview

---

Quality

• 1,200+ unit tests · 50+ golden image tests · 100+ benchmarks
• Cross-platform CI: Linux (GCC + Clang), macOS (ARM), Windows (MSVC)
• ASan + UBSan sanitizer jobs · Headless golden tests via lavapipe
• Release pipeline: .deb, .rpm, AppImage, .dmg, .zip, Python wheels → PyPI

cmake -B build -DSPECTRA_BUILD_TESTS=ON
cmake --build build && cd build && ctest --output-on-failure

---

Contributing

1. C++20 — No global state, RAII, thread-safe via std::mutex
2. Tests required — Add unit tests; run ctest before submitting
3. Vulkan safety — Never destroy resources without waiting on fences
4. No speculative fixes — Measure first, then optimize

make build test    # Build + run tests
make format        # clang-format

---

License

MIT License. See LICENSE for details.

---

📖 Documentation · 🚀 Getting Started · ✨ Features · 📋 Examples