1) Bokeh

Boke is a Python library used to provide interactive visualization. It is dependent on Matplotlib. It targets interactivity and offers interactive designs in a web browser.

2) Plotly

Plotly supports interactive web apps. It provides the advantage to create an upmarket graph in very fewer lines of code. Plotly can fulfill any kind of visual requirement in a short period.

3) Scikit-Learn

Scikit-learn is used for modeling data. It is a savior for Machine Learning projects. It has numerous supervised and unsupervised ML algorithms. Its main target is on quality of code, performance and decent documentation.

4) PyTorch

PyTorch is an open-source library. It is a useful tool for deep learning programs that provide high speed. It fulfills many data-centric demands. The cloud-based environment is provided by PyTorch which enables easy scaling of resources.

5) TensorFlow

TensorFlow is one of the most popular frameworks for Data Science, Deep Learning and Machine Learning. It is an open-source framework that enables you to build models, test them and train them accordingly. It is the best tool for voice recognition and object identification.