Sqliteman is described as 'Sqlite Databases Made Easy' and is an app. There are more than 10 alternatives to Sqliteman for a variety of platforms, including Windows, Mac, Linux, BSD and Flathub apps. The best Sqliteman alternative is DB Browser for SQLite, which is both free and Open Source. Other great apps like Sqliteman are Valentina Studio, SQLiteStudio, SQLite Expert and SQLiteSpy.
DB Browser for SQLite (DB4S) is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite.
FREE native AI enabled database manager for RDBMS: DuckDB, MariaDB, MySQL, PostgreSQL, SQLite, SQL Server, Valentina DB, and MongoDB. PRO Edition adds Report Editor and Form Editor, with JS/Python scripting and dozens of features.
SQLite Expert - A powerful administration tool for your SQLite databases. The graphical interface supports all SQLite features. It includes a visual query builder, an SQL editor with syntax highlighting and code completion, visual table and view designers and powerful import and...
SQLiteSpy is a fast and compact GUI database manager for SQLite. It reads SQLite3 files and executes SQL against them. Its graphical user interface makes it very easy to explore, analyze, and manipulate SQLite3 databases.
SQL Maestro Group vendors powerful database administration, development and management tools for MySQL, Oracle, SQL Server, DB2, SQL Anywhere, PostgreSQL, SQLite, Firebird and MaxDB.
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Base is an application for creating, designing, editing and browsing SQLite 3 database files. It's a proper Mac OS X application. Fast to launch, quick to get in to and get the data you need.
SQLite Administrator is a powerful tool if you easily want to create, design or administrate SQLite database files. The SQL code editor helps you to quickly write sql queries with features such as code completion and highlighting.
Lita is a free and open source SQLite database administration tool for Windows, MacOSX and Linux.
Log Parser Lizard is a versatile GUI tool that provides query access (using SQL) to text-based data, such as log files, XML files, Event Logs, TSV/CSV text files, as well as databases like MS SQL Server, Google BigQuery, OLEDB (MySQL, Oracele, etc.).
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