Gaussian White Noise, which is composed using a random distribution where every sample is statistically independent of the others, resulting in a signal with equal power across all frequencies.
Pink noise, also known as flicker noise or 1/f noise, has equal power per octave. You'll notice it looks "smoother" than the white noise graph because it has more energy at lower frequencies and less at higher frequencies, unlike white noise which has equal energy across all frequencies.
Brown Noise wave (also known as Red noise or Brownian noise). Brown noise is characterized by a power spectral density that decreases by 6 dB per octave as frequency increases. In the time domain, it behaves like a random walk, which is why it looks much smoother and wanders more slowly than both white and pink noise. It has even more energy at low frequencies compared to pink noise.