The most frequently used alternative to the traditional F-test ANOVA in your circumstance is the Kruskal-Wallis one-way ANOVA. If a typical ANOVA would have been a good choice under the assumption of normality, then it’s very likely the Kruskal-Wallis test assumptions are satisfied.
Note that the two do not formally measure the same thing so adjustments will need fo be made to your hypothesis statements. As always, make sure to take a close look at the limitations of the test and circumstances for which an ANOVA might not be suitable at all!
This test should be paired with the Dunn Test post-hoc. Implementations for both are available in most statistical computing software, although some care should be taken that the Dunn test has been implemented with attention to its use as a post-hoc test for Kruskal-Wallis.
If these do not appear satisfactory, you can explore other options by looking for tests that fall under the category of “non-parametric,” as those are most likely to not require an underlying normal distribution. Some resources for which can be found here..
In future questions, it is useful if you were to provide some additional details on the characteristics of the variable you have measured and what hypothesis you intend to test. This let’s responders be more confident ahem that they have lead you in the right direction!