Have you seen this? Depending on your area of evaluating frameworks, consider exploring google trends as well.
Despite the improvements in tensorflow over time, the API part has been fairly stable till 2.14. TF 2.15 changes in APIs slightly since it started using keras3.
From the specialization viewpoint, the version of tensorflow in the labs is just fine as we code math expressions or use layers both of which have very few changes till date.