Search Results for "web interface"
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Showing 4 open source projects for "web interface"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Movie Masher
Browser-based online video editor and encoding API
Version 3.x available here on SourceForge has been superseded by version 4.x available on Github. The later is a port to JavaScript, PHP and Ruby - all dependencies on Flash have been removed, as well as some of the functionality it provided. Version 3.x --------------- Extensible Flash and PHP online video editor with effects, transitions, titling, timeshifting and compositing. Client side ActionScript provides a robust GUI that interacts with PHP through simple XML protocols for... -
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FX Player is a Web-based streaming server with a Flash iTunes-like interface. It shares your MP3 library and allow access to your tracks through the Internet. Coded in Java, FX Player run on most platforms, including Mac OS X, Windows, Linux and Unix.
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An Open Source Digital Court Recording (DCR) system, providing multi-channel audio (2-4+) and video digital recording with timestamped text annotations. Recordings viewed via a web interface. Searchable database for text annotations.
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A Flash-based Video player with User Interface in DHTML and JavaScript. Minimizes cost to update the UI; UI can reflect changes in other dynamic systems. Minimizes number of times you need to compile the SWF flash package.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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