aws-media-insights-engine | serverless framework to accelerate the development
kandi X-RAY | aws-media-insights-engine Summary
kandi X-RAY | aws-media-insights-engine Summary
aws-media-insights-engine is a Python library. aws-media-insights-engine has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However aws-media-insights-engine build file is not available. You can download it from GitHub.
Media Insights Engine (MIE) is a development framework for building serverless applications that process video, images, audio, and text on AWS. MIE takes care of workflow orchestration and data persistence so that you can focus on workflow development. By addressing the concerns of running workflows, MIE empowers you to build applications faster with the benefit of inheriting a pre-built and robust back end.
Media Insights Engine (MIE) is a development framework for building serverless applications that process video, images, audio, and text on AWS. MIE takes care of workflow orchestration and data persistence so that you can focus on workflow development. By addressing the concerns of running workflows, MIE empowers you to build applications faster with the benefit of inheriting a pre-built and robust back end.
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Quality
Security
License
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Support
aws-media-insights-engine has a low active ecosystem.
It has 174 star(s) with 53 fork(s). There are 21 watchers for this library.
It had no major release in the last 12 months.
There are 88 open issues and 195 have been closed. On average issues are closed in 14 days. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of aws-media-insights-engine is v2.0.5
Quality
aws-media-insights-engine has 0 bugs and 0 code smells.
Security
aws-media-insights-engine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
aws-media-insights-engine code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
aws-media-insights-engine is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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aws-media-insights-engine releases are available to install and integrate.
aws-media-insights-engine has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
aws-media-insights-engine saves you 5334 person hours of effort in developing the same functionality from scratch.
It has 19619 lines of code, 348 functions and 76 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of aws-media-insights-engine
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of aws-media-insights-engine
aws-media-insights-engine Key Features
No Key Features are available at this moment for aws-media-insights-engine.
aws-media-insights-engine Examples and Code Snippets
No Code Snippets are available at this moment for aws-media-insights-engine.
Community Discussions
No Community Discussions are available at this moment for aws-media-insights-engine.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aws-media-insights-engine
You can deploy MIE in your AWS account with the following Cloud Formation templates. The Cloud Formation stack name must be 12 or fewer characters long. The Cloud Formation options for these one-click deploys are described in the installation parameters section.
Run the following commands to build and deploy MIE from scratch. Be sure to define values for MIE_STACK_NAME and REGION first.
You can deploy MIE in your AWS account with the one-click deploy buttons shown above.
Run the following commands to build and deploy MIE from scratch. Be sure to define values for MIE_STACK_NAME and REGION first.
You can deploy MIE in your AWS account with the one-click deploy buttons shown above.
Support
See the CONTRIBUTING file for how to contribute.
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