Astronomia VS Redash

Compare Astronomia vs Redash and see what are their differences.

Astronomia

My own rendition of the classic Asteroids game (by natharyan)

Redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data. (by getredash)
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Astronomia Redash
3 38
11 25,020
- 0.9%
3.5 9.5
11 months ago 7 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.

Astronomia

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

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 2024-02-26.

What are some alternatives?

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

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

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

sqlglot - Python SQL Parser and Transpiler

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

mycli - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.

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

PyMySQL - MySQL client library for Python

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

dev-setup - macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

bokeh - Interactive Data Visualization in the browser, from Python

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

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