model-my-watershed | The web application front end for Model My Watershed
kandi X-RAY | model-my-watershed Summary
kandi X-RAY | model-my-watershed Summary
model-my-watershed is a JavaScript library typically used in Institutions, Learning, Administration, Public Services applications. model-my-watershed has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
The web application front end for Model My Watershed.
The web application front end for Model My Watershed.
Support
Quality
Security
License
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Support
model-my-watershed has a low active ecosystem.
It has 47 star(s) with 30 fork(s). There are 14 watchers for this library.
It had no major release in the last 12 months.
There are 340 open issues and 1812 have been closed. On average issues are closed in 29 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of model-my-watershed is 1.33.8
Quality
model-my-watershed has 0 bugs and 0 code smells.
Security
model-my-watershed has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
model-my-watershed code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
model-my-watershed 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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model-my-watershed releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
model-my-watershed saves you 20290 person hours of effort in developing the same functionality from scratch.
It has 39947 lines of code, 615 functions and 629 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of model-my-watershed
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of model-my-watershed
model-my-watershed Key Features
No Key Features are available at this moment for model-my-watershed.
model-my-watershed Examples and Code Snippets
No Code Snippets are available at this moment for model-my-watershed.
Community Discussions
No Community Discussions are available at this moment for model-my-watershed.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install model-my-watershed
First, ensure that you have a set of Amazon Web Services (AWS) credentials with access to Azavea's pre-processed NLCD data set. This setup generally needs to happen on the virtual machine host using the AWS CLI:. You will also need to set the MMW Datahub AWS credential as your default. These are stored in lastpass under the name MMW Azavea DataHub AWS. Ensure that the AWS credentials file has universal read permissions.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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