DbVisualizer is a universal database client for anyone who works with data, from indie developers and startups to professional teams managing complex database environments, including developers, DBAs, analysts, and data engineers working across relational and NoSQL databases.
Key features:
- SQL editor with intelligent autocomplete, visual query builders, variables, and execution tools
- AI Assistant for answering questions, explaining errors, and analyzing code
- Git integration for managing SQL scripts and team collaboration
- Customizable layouts, key bindings, and UI themes
- Favorites for frequently used scripts and database objects
- Configurable security settings for organizational requirements
Connects via JDBC to MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery, and more. Runs on Windows, macOS, and Linux.
Nearly 7 million downloads, with Pro users in 150 countries, scaling from solo projects to enterprise database management.
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Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically.
JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines.
A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.
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MarkdownPad
MarkdownPad is a comprehensive Markdown editor designed specifically for Windows users. It allows you to see a live preview of your Markdown documents as HTML, providing immediate visual feedback while you work. As you type, the LivePreview feature automatically scrolls to where you are editing, ensuring a seamless experience. You can easily apply and remove Markdown formatting using convenient keyboard shortcuts and toolbar options, making it accessible even if you have no prior knowledge of Markdown. The editor offers extensive customization options for color schemes, fonts, sizes, and layouts, allowing you to tailor MarkdownPad to fit your ideal editing environment. Additionally, you can enhance the appearance of your HTML documents with your own CSS stylesheets, as MarkdownPad supports multiple stylesheets and includes a built-in CSS editor. The default CSS is elegant and minimal, providing a polished look for your HTML output. You can quickly generate ready-to-use HTML documents or copy specific sections as HTML easily. Furthermore, MarkdownPad Pro includes support for various Markdown processing engines, such as Markdown Extra with Table support and GitHub Flavored Markdown, giving you versatility in your formatting needs. Overall, MarkdownPad is an excellent choice for anyone looking to streamline their Markdown editing experience on Windows.
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MacDown
MacDown draws significant inspiration from Mou, and I strive to replicate its features and functionality closely, implementing changes only when I believe they enhance the user experience. Some of the standout features include a customizable Markdown rendering engine, syntax highlighting for fenced code blocks, and advanced auto-completion capabilities. While MacDown welcomes pull requests for aliases to existing languages, it does not accept submissions for new syntax highlighting rules. If you are interested in contributing additional language definitions or themes, please head over to the Prism project page to submit your ideas. Once your pull request is approved, I will ensure that updates from Prism are incorporated into future releases. This collaborative approach not only enriches MacDown but also strengthens the community around it.
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