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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SurveyJS is a set of four open-source JavaScript libraries that offer the benefits of a tailor-made in-house survey application, while considerably reducing the time and resources needed to deploy the system. These libraries are independent of specific server code or database requirements and seamlessly integrate with popular JavaScript frameworks, including React, Angular, Vue.js, jQuery, Knockout, and more. They are designed to communicate with any server that can handle JSON requests, ensuring compatibility with various server architectures and databases.
The product family is composed of:
- An open-source MIT-licensed rendering library that renders dynamic JSON-based forms in your web application, and collects responses.
- A self-hosted drag & drop form builder that features an integrated CSS-based theme editor and a GUI for conditional rules. It automatically generates JSON definitions (schemas) of your forms in real time.
- PDF Generator, a library that renders SurveyJS surveys and forms as PDF files in a browser;
- The Dashboard library that allows you to simplify survey data analysis with interactive and customizable charts and tables.
Visit our website to try out and evaluate our full-scale demo for free.
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Vendo
Vendo is a comprehensive SaaS platform designed to cater to all your Marketplace and B2B eCommerce requirements. This all-in-one solution enables you to swiftly establish your own multi-vendor Marketplace or B2B eCommerce venture at a significantly lower cost than custom development or traditional enterprise solutions, all within a matter of days rather than months. There's no need for any technical expertise, as Vendo streamlines the entire process, automating everything from vendor onboarding via API or CSV imports from platforms like Shopify, WooCommerce, and BigCommerce, to seamless integration with third-party services such as Stripe, Algolia, Shippo, and TaxJar. It facilitates buyer payments in over 135 currencies and manages order fulfillment and supplier payments across 50 different countries. Vendo is adaptable for both direct-to-consumer and business-to-business audiences, providing multiple storefronts or sales channels tailored to diverse needs. With its user-friendly interface and extensive functionality, Vendo empowers entrepreneurs to efficiently launch and manage their eCommerce operations.
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Google Places API
The Places API is a powerful service that delivers information about various locations through the use of HTTP requests. Within this framework, places are categorized as establishments, geographic settings, or notable points of interest. There are several types of place requests available: Place Search allows users to receive a list of places relevant to their current location or a search term. Place Details offers in-depth information about a particular location, including user-generated reviews. Place Photos grants access to a vast collection of images related to places stored in Google's extensive database. Place Autocomplete helps users by automatically completing the name and/or address of a location as they begin typing. Additionally, Query Autocomplete predicts and suggests queries for text-based geographic searches while users input their queries. Each of these services can be accessed through HTTP requests, returning responses in either JSON or XML formats, which makes integration into applications straightforward and efficient. This entire ecosystem enables developers to create rich location-based experiences for users.
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