hyperdiv-apps VS Redash

Compare hyperdiv-apps vs Redash and see what are their differences.

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hyperdiv-apps Redash
2 38
55 25,057
- 1.1%
7.0 9.5
about 1 month ago 1 day ago
Python Python
Apache License 2.0 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.

hyperdiv-apps

Posts with mentions or reviews of hyperdiv-apps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

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 hyperdiv-apps and Redash you can also consider the following projects:

streamlit - Streamlit — A faster way to build and share data apps.

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

readyset - Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.

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

reflex - 🕸️ Web apps in pure Python 🐍

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

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

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

matplotlib - matplotlib: plotting with Python

django-sql-explorer - Easily share data across your company via SQL queries. From Grove Collab.