GOscilloscope Part 3: Making the Waveform Interactive

Thu, 20 Aug 2026 20:09:00 +0200

Introduction Link to heading

In Part 2, we rendered our recorded audio buffer onto an Ebitengine canvas. However, our MinMax algorithm compacted many samples into much less pixels effectively losing resolution.

Before we dive into calculating the spectrum (FFT), let’s make our waveform interactive. In this part, we will introduce a Viewport to handle zooming and scrolling, and add time/magnitude axes to give our data visual context.

GOscilloscope Part 2: Displaying the waveform of a recorded signal with Ebitengine

Tue, 11 Aug 2026 14:30:00 +0200

Introduction Link to heading

In the first part of this series, we laid the groundwork by recording 5 seconds of audio using PortAudio and saving the raw sample data to a .wav file. While saving to a file verified our recording logic, an oscilloscope needs to give us immediate visual feedback.

In this second part, we will move away from file export and focus on visualization. We will use Ebitengine cross-platform 2D game library for Go to draw our recorded audio samples directly as a waveform.

Ebitengine on bendit.dev

GOscilloscope Part 3: Making the Waveform Interactive

Introduction Link to heading

GOscilloscope Part 2: Displaying the waveform of a recorded signal with Ebitengine

Introduction Link to heading