pymaze VS Redash

Compare pymaze vs Redash and see what are their differences.

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pymaze Redash
1 41
266 25,894
- 1.6%
0.0 9.3
5 months ago 4 days ago
Python Python
MIT License BSD 2-clause "Simplified" 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.

pymaze

Posts with mentions or reviews of pymaze. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-30.

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 2024-07-10.

What are some alternatives?

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

mazes - A comprehensive library of algorithms for creating perfect mazes.

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

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

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

search-algorithms-playground - From-scratch scenario generation for search algorithms testing and experimentation.

searchViz - A graph search visualiser built over Numpy and Pygame, with an ability to visualise custom-made search algorithms!

cube.js - 📊 Cube — The Semantic Layer for Building Data Applications

projet_3_McGyver

bokeh - Interactive Data Visualization in the browser, from Python

Druid - Apache Druid: a high performance real-time analytics database.

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Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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InfluxDB - Purpose built for real-time analytics at any scale.
InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
www.influxdata.com
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