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Search: deployer
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Showing 10 results from 15,458
yarlson/ftl
GitHub Go MIT LicenseFTL: faster than light deployment
External source
GitHub
tramlinehq/tramline
GitHub Ruby Apache License 2.0Release coordination and deployment platform, just for your mobile apps
External source
GitHub
wednesday-solutions/flutter_template
GitHub Dart MIT LicenseA Flutter template application showcasing - Clean architecture, Responsive design, State management, Decoupled widgets using the connector pattern, Dependency Injection, Widget, Unit, Golden and E2E testing, Navigation, Localization, Material 3 dynamic theming, Continuous Integration and Continuo... Read more
External source
GitHub
labzero/bootleg
GitHub Elixir MIT LicenseSimple deployment and server automation for Elixir.
External source
GitHub
FreeCAD/FreeCAD-Bundle
GitHub Python GNU Lesser General Public License v2.1Stand-alone repo to Build and Deploy installable FreeCAD images. Do not open general FreeCAD issues here.
External source
GitHub
aws-solutions/aws-data-lake-solution
GitHub JavaScript Apache License 2.0A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.
External source
GitHub
dcrec1/inploy
GitHub RubyRails and Sinatra deployment made easy
External source
GitHub
opencloud-eu/opencloud-compose
GitHub JavaScript GNU General Public License v3.0๐ผ This repository provides Docker Compose configurations for deploying OpenCloud in various environments.
External source
GitHub
capacitor-community/electron
GitHub TypeScript MIT LicenseDeploy your Capacitor apps to Linux, Mac, and Windows desktops, with the Electron platform! ๐ฅ๏ธ
External source
GitHub
omlins/ParallelStencil.jl
GitHub Julia BSD 3-Clause "New" or "Revised" LicensePackage for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
External source
GitHub
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