I have found seaborn to be a more proficient software and I find the plots are more appealing. It is built on top of matplotlib.

Plotly is another, not something I've used as much. It can create some very appealing interactive charts.

Payel Chakraborty

There are several excellent libraries and packages in Python and R beyond Matplotlib for research-oriented data analysis, especially when dealing with animal data. Here are some :

Python Libraries

• Plotly
• Seaborn
• Bokeh

R Libraries

• ggplot2
• Lattice
• Plotly for R

The best tool or library depends on your specific needs and preferences. If you work with animal research data, you might find the interactive features of Plotly or Bokeh especially helpful for exploring and presenting your findings.

Hi Payel,

Your question seems to address data visualization in Python, R, or other tools for research purposes, especially concerning animal data.

For visualization libraries, in Python, apart from Matplotlib, you can consider Seaborn, Plotly, and Altair. In R, ggplot2 is highly recommended for versatile data visualizations.

If you're referring to IDEs that support Python or R, some popular options include RStudio, Spyder, and Google Colab, with good environments for visualizing data.

In addition to Python and R, tools like MATLAB, Java, and even Excel can be valuable depending on your specific needs.

There are niche packages tailored for various biological data types. For example, if the animal data involves genetic analysis, Bioconductor in R offers specialized applications. If your data involves other domains like behavioral analysis, other specific libraries could be useful.