The Exponential Family (EF) of distributions contains the exponential, gamma, normal distribution, Bernoulli, binomial and Poisson distributions, among others. It provides a rich family of models to represent data. There is a single algorithm for ML fitting of these distributions.
All EF distributions have one free parameter, the so-called canonical parameter. The normal and gamma distributions also have a scale parameter (we suppose this is known).