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A free, open-source, multi-platform SQLite database manager written in C++, with use of Qt framework. It's free of charge for everybody, for any purpose (including commercial). It's safe, as anyone can review the source code. The SQL Editor window assists users with SQL syntax hints & highlighting, provides pretty-print code formatter, and marks syntax errors. You can Ctrl+click on the table mentioned in the SQL query to open that table (or index, or trigger, or view). Currently supported...

...It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple connections, to many different SQL database types, a schema explorer, query history (e.g. lightweight version control), a basic security model, in-browser pivot tables, and more. SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. ...

Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases.

Just use the portable copy of the free sqlitebrowser program, available here : https://sqlitebrowser.org/dl/ to open and test the sample db, that I have given as a download here ( after extracting the zip file ) . Also, I have enclosed, the csv files, that I have used for importing and exporting, from the file menu of the program. Also, watch the video below, for a quick start. Tags: Learn SQL Quickly, Analyze Data Easily, SQL Guide, SQL Samples

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. Currently, Falcon supports connections to...