continuous-reforestation | Make continuous reforestation part of your daily workflow

 by   protontypes Python Version: 0.0.3 License: MIT

kandi X-RAY | continuous-reforestation Summary

kandi X-RAY | continuous-reforestation Summary

continuous-reforestation is a Python library. continuous-reforestation has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However continuous-reforestation build file is not available. You can download it from GitHub.

A GitHub Action for planting trees within your development workflow using the Reforestation as a Service (RaaS) API developed by DigitalHumani. Planting trees is an easy way to make a difference in the fight against climate change. Every tree helps to bind CO2 as long as it grows and creates living space for wildlife. Automating the process gives you total control of where, when and how much you want to contribute while saving you the fuss of doing the whole process manually. By using the RaaS API, you or your project can plant trees in a transparent way by exposing the API calls and related statistics. The RaaS API is completely free of charge. You only pay for the trees (1 $ each) directly to the reforestation organization. Find more information on this project read our blog post.
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            kandi-support Support

              continuous-reforestation has a low active ecosystem.
              It has 128 star(s) with 3 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of continuous-reforestation is 0.0.3

            kandi-Quality Quality

              continuous-reforestation has 0 bugs and 0 code smells.

            kandi-Security Security

              continuous-reforestation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              continuous-reforestation code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              continuous-reforestation is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              continuous-reforestation releases are available to install and integrate.
              continuous-reforestation has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed continuous-reforestation and discovered the below as its top functions. This is intended to give you an instant insight into continuous-reforestation implemented functionality, and help decide if they suit your requirements.
            • Main function .
            Get all kandi verified functions for this library.

            continuous-reforestation Key Features

            No Key Features are available at this moment for continuous-reforestation.

            continuous-reforestation Examples and Code Snippets

            No Code Snippets are available at this moment for continuous-reforestation.

            Community Discussions

            No Community Discussions are available at this moment for continuous-reforestation.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install continuous-reforestation

            You can download it from GitHub.
            You can use continuous-reforestation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            CLONE
          • HTTPS

            https://github.com/protontypes/continuous-reforestation.git

          • CLI

            gh repo clone protontypes/continuous-reforestation

          • sshUrl

            git@github.com:protontypes/continuous-reforestation.git

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