Redash VS PyQtGraph

Compare Redash vs PyQtGraph and see what are their differences.


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


Fast data visualization and GUI tools for scientific / engineering applications (by pyqtgraph)
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Redash PyQtGraph
9 10
19,987 2,636
2.1% 2.8%
7.9 9.6
4 days ago 6 days ago
Python Python
BSD 2-clause "Simplified" License MIT 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.


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 2021-10-24.


Posts with mentions or reviews of PyQtGraph. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-22.

What are some alternatives?

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

matplotlib - matplotlib: plotting with Python

VisPy - Main repository for Vispy

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to:]

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

bokeh - Interactive Data Visualization in the browser, from Python

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

seaborn - Statistical data visualization in Python

cube.js - 📊 Cube — Open-Source Analytics API for Building Data Apps

Graphviz - Simple Python interface for Graphviz

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.