Redash VS Altair

Compare Redash vs Altair and see what are their differences.

Redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data. (by getredash)

Altair

Declarative statistical visualization library for Python (by altair-viz)
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Redash Altair
11 16
20,077 7,082
1.4% 0.9%
7.8 6.8
about 9 hours ago 6 days ago
Python Python
BSD 2-clause "Simplified" 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.

Redash

Posts with mentions or reviews of Redash. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-28.

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 2021-11-24.

What are some alternatives?

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

plotly - The interactive graphing library for Python (includes Plotly Express) :sparkles:

bokeh - Interactive Data Visualization in the browser, from Python

seaborn - Statistical data visualization in Python

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

ggplot - ggplot port for python

plotnine - A grammar of graphics for Python

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

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.

matplotlib - matplotlib: plotting with Python