Search Results for "javascript search engine"
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Showing 3 open source projects for "javascript search engine"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that keeps backends simple and consistent. -
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AppWorks
Front-end R&D tool set based on VS Code plug-in
Use AppWorks to develop Universal Applications quickly. Click "Shop Icon" on the Activity Bar of VS Code. Enter "app works" in the input box to search. Click the Install button on the first app works option. After installation is successful, click the "AppWorks icon" on the Activity Bar of VS Code to start. We have integrated the operations of creating, debugging, and publishing projects into commonly used editors through plug-ins, making the project development process easier. ... -
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tabix
Tabix.io UI
...The list of functions is loaded based on the capabilities of the server. Displays which query is running. Display the number of tables at the database. The icon of the table depends on its engine. List of fields in the table and inserting the field when clicking in the editor. DB selection via double click in the tree, pop-up window about selection. Search in the tree of objects, filtering the tree. Rebuilding the list of databases / tables after the query is executed. Table with information about completed requests at the end of the list / Requests in the tab are logged for performance comparison.
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