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Showing 3 open source projects for "read"
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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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1
Keel
Kubernetes Operator to automate Helm, DaemonSet, StatefulSet, etc
...Users can specify on their Kubernetes manifests or Helm charts how many approvals do they have to collect before a resource gets updated. Approvals can be collected through the web admin dashboard, HTTP API, Slack and HipChat. Read more about approvals in the docs. -
2
ElectroCRUD 2
Database CRUD Application Built on Electron
ElectroCRUD is an open source database CRUD (create, read, update, delete) Software. No code needed. Just in a few clicks, you can create a database admin/dashboard/whatever. Its open source and free. After a failed search for a basic admin panel that does not involve writing code or installs web-based solutions, I came up with ElectroCRUD idea. The ElectroCRUD v1 was born in 2016. An Electron application that made it possible to create a friendly dashboard with data tables, search, widgets, filter & relations with few clicks without any experience in programming. ... -
3
Bowtie
Create a dashboard with python!
Bowtie is a library for writing dashboards in Python. No need to know web frameworks or JavaScript, focus on building functionality in Python. Interactively explore your data in new ways! Deploy and share with others! Bowtie uses Yarn to manage node packages. If you installed Bowtie through conda, Yarn was also installed as a dependency. Yarn can be installed through conda. An early integration with Jupyter has been prototyped. I encourage you to try it out and share feedback. I hope this...
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