Search Results for "stream"
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Showing 2 open source projects for "stream"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Audiobookshelf
Self-hosted audiobook and podcast server
...However, you can enable scanner settings to prefer using your audio file ID3 tags or an OPF file over using folder names. Fully open-source, including the android & iOS app (in beta) Stream all audio formats on the fly. Search and add podcasts to download episodes w/ auto-download. Multi-user support w/ custom permissions. Keeps progress per user and syncs across devices. Auto-detects library updates, no need to re-scan. Upload books and podcasts w/ bulk upload drag and drop folders. Backup your metadata + automated daily backups. ... -
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Winds
A Beautiful Open Source RSS & Podcast App Powered by Getstream.io
...Use the free hosted version or run it on your own server and customize it as you see fit. Contributions in form of pull requests are always appreciated. Activity Feeds & Discovery in Winds are powered by Stream, the app leverages Algolia for search, AWS for hosting, MongoDB Atlas for a hosted database (DBaaS), and SendGrid for email. All of these services have a free tier. Stream is an API for building activity feeds. For Winds the follow suggestions and the list of articles from the feeds you follow is powered by Stream. Stream accounts are free for up to 3 million feed updates and handle personalization (machine learning) for up to 100 users.
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