The effectiveness of texture-feature estimation by two popular image-analysis tools – the MaZda application and the PyRadiomics package was compared in the article. The study used images acquired with five imaging methods: X-ray, CT, MRI, ultrasound, and dermatoscopic imaging. Feature vectors generated for each modality were used to build classification models (LR, SVM, MLP, RF, ET) aimed at identifying specific disease entities. The results obtained clearly indicate the higher effectiveness of the MaZda application.