I have a LDA model with the 10 most common topics in 10K documents. Now it's just an overview of the words with corresponding probability distribution for each topic.

I was wondering if there is something available for python to visualize these topics?

There some visulizations you can choise.

In the topic of Visualizing topic models, the visualization could be implemented with,

• D3 and Django(Python Web), e.g. Circle Packing, or Site Tag Explorer, etc
• Network X

In this topic Visualizing Topic Models, the visualization could be implemented with

1. Matplotlib
2. Bokeh
3. etc.

pyLDAvis looks reasonably good.

There's also Termite developed by Jason Chuang of Stanford.

PyLDAVis - Visualization tool for LDA Models

Useful article for learning Topic Modelling using different models in Python

Depending upon the use case, you may chose some of these Visualizations as well.

1)Stacked Bar Chart

2)Heatmap

3)Table (https://de.dariah.eu/tatom/topic_model_visualization.html)

4)Histogram

5)Violin Plot (https://www.analyticsvidhya.com/blog/2015/05/data-visualization-python/)

Most of these visualizations are possible thorough Matplotlib library in Python.