ete VS bokeh

Compare ete vs bokeh and see what are their differences.

ete

Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree. (by etetoolkit)
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ete bokeh
1 24
754 18,867
0.7% 0.8%
9.6 9.5
about 1 month ago about 15 hours ago
Python Python
GNU General Public License v3.0 only BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ete

Posts with mentions or reviews of ete. We have used some of these posts to build our list of alternatives and similar projects.

bokeh

Posts with mentions or reviews of bokeh. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

What are some alternatives?

When comparing ete and bokeh you can also consider the following projects:

django-treebeard - Efficient tree implementations for Django

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

seaborn - Statistical data visualization in Python

Biopython - Official git repository for Biopython (originally converted from CVS)

Altair - Declarative statistical visualization library for Python

Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

matplotlib - matplotlib: plotting with Python

ielex-data-and-tree - Data and scripts for producing a Baysian phylogenetic tree sample of for the Indo-European family which is "good enough", using data from IELex (Dunn et al. 2011).

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications

folium - Python Data. Leaflet.js Maps.

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]