Graphviz VS Altair

Compare Graphviz vs Altair and see what are their differences.

Graphviz

Simple Python interface for Graphviz (by xflr6)

Altair

Declarative statistical visualization library for Python (by altair-viz)
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Graphviz Altair
0 42
1,554 8,852
- 1.9%
8.1 9.0
7 days ago 2 days ago
Python Python
MIT License 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.

Graphviz

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

We haven't tracked posts mentioning Graphviz yet.
Tracking mentions began in Dec 2020.

Altair

Posts with mentions or reviews of Altair. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-18.

What are some alternatives?

When comparing Graphviz and Altair you can also consider the following projects:

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

bokeh - Interactive Data Visualization in the browser, from Python

seaborn - Statistical data visualization in Python

matplotlib - matplotlib: plotting with Python

ggplot - ggplot port for python

plotnine - A Grammar of Graphics for Python

diagrams - :art: Diagram as Code for prototyping cloud system architectures

mermaid - Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

folium - Python Data. Leaflet.js Maps.

Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.