lumenpnp | The LumenPnP is an open source pick and place machine

 by   opulo-inc Python Version: v3.0.5 License: GPL-3.0

kandi X-RAY | lumenpnp Summary

kandi X-RAY | lumenpnp Summary

lumenpnp is a Python library typically used in Internet of Things (IoT) applications. lumenpnp has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However lumenpnp build file is not available. You can download it from GitHub.

The LumenPnP is an open source pick and place machine to aid in Mid-Scale Manufacturing. LumenPnP kits are available for sale on the Opulo Website. Machines are being used in active production daily. If you build or buy one, please help the project by documenting bugs with a GitHub issue. Please read the wiki here! The wiki covers information about the state of the project, contributing instructions, and frequently asked questions. The LumenPnP is designed to be low-cost enough that someone could buy or build one to support making production runs at home or as a small business. It runs using OpenPnP. Along with the pick and place machine itself, the project also includes feeders designed to work with the machine. Powered feeders are in the final design phase. Having a proven validated design is the next goal of the project.
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            kandi-support Support

              lumenpnp has a medium active ecosystem.
              It has 2010 star(s) with 278 fork(s). There are 126 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 42 open issues and 342 have been closed. On average issues are closed in 417 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of lumenpnp is v3.0.5

            kandi-Quality Quality

              lumenpnp has no bugs reported.

            kandi-Security Security

              lumenpnp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              lumenpnp is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              lumenpnp releases are available to install and integrate.
              lumenpnp has no build file. You will be need to create the build yourself to build the component from source.

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            lumenpnp Key Features

            No Key Features are available at this moment for lumenpnp.

            lumenpnp Examples and Code Snippets

            No Code Snippets are available at this moment for lumenpnp.

            Community Discussions

            Trending Discussions on Internet of Things (IoT)

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

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

            Vulnerabilities

            No vulnerabilities reported

            Install lumenpnp

            You can download it from GitHub.
            You can use lumenpnp 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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