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Showing 4 open source projects for "data visualization"

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1

Redash

Connect to any data source, easily visualize and share your data

Redash is an essential tool to help you make sense of your data. It allows everyone, regardless of level of technical know-how to harness the power of data. SQL users connect, query, visualize and share data easily and efficiently, allowing everyone in their organization to use the data. Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for...

Downloads: 22 This Week

Last Update: 2026-09-24
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2

SQLPad

Web-based SQL editor run in your own private cloud

A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure...

Downloads: 0 This Week

Last Update: 2025-08-22
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3

OmniDB

Open Source Web Tool for Database Management

OmniDB is an open source, collaborative web tool for database management focused on interactivity and ease of use, with a design that allows it to be both powerful and lightweight. OmniDB is a browser-based tool, which means it can be accessed on any platform with the browser as a medium. It features a responsive, single-page interface, a unified workspace, a smart and beautiful SQL editor and more. It currently supports Windows, Linux and OSX platforms, and the following DBMS: PostgreSQL,...

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Downloads: 3 This Week

Last Update: 2021-01-22
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4

Falcon

Free, open-source SQL client for Windows and Mac

Falcon is a free, open-source SQL editor with inline data visualization. With Falcon you can connect to your database in the Connection tab, run SQL queries in the Query tab, then export your results as a CSV or open them in the Chart Studio to unlock the full power of Plotly graphs. Optionally, you can use Falcon as a middleman between plot.ly and your database - so that when your database updates, your charts and dashboards update as well.

Downloads: 0 This Week

Last Update: 2021-11-08
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