![]() Below a heatmap reports the count of data files for each economy by quarter: For example, AQ reports activity from developers stationed on Antarctica. We aggregate GitHub activity for economies using a definition broader than recognized UN member states. You can also find the CSV for this heatmap in the data/representativeness_data directory. You can find more information on our methodology in the datasheet.īelow a heatmap shows the count of economies reported for each data file by quarter: Count of economies by data file by quarter However, the number of developers varies considerably by economy, and in some cases we decline to publish specific statistics for economies with fewer than 100 unique developers performing the relevant activity during the specified quarter out of an abundance of caution for developers’ privacy. We endeavor to publish as much data about public activity on GitHub as possible. Representativeness of Innovation Graph data How many economies are included? See the datasheet for more information on limitations. at a more granular temporal level than quarterly.Īdditionally, economies that have fewer developers on GitHub (which generally correlates with the population of an economy) will have less data associated with them in this dataset.at a more granular geographic level than economy or.As such, this dataset would not be useful for understanding: The GitHub Innovation Graph dataset contains data on (1) public activity (2) on GitHub (3) aggregated by economy (4) on a quarterly basis. To dive deeper into the data and run your own analyses, feel free to fork this repo, explore the structured data files using the exploratory data analysis tool of your choice, and share your findings in our Discussions page. Exploring Innovation Graph dataįor an overview of the dataset, check out the charts and tables at the GitHub Innovation Graph website. The GitHub Innovation Graph provides data on the following areas: We welcome developers, data analysts, researchers, policymakers, and all other interested stakeholders to explore the data, discover insights, and create visualizations, among much more. Through offerings such as the GitHub Innovation Graph, we hope to inform research and public policy that could benefit from data on software development activity globally. I much rather work on GNS3 than Packet Tracer.This repo contains structured data files of public activity on GitHub, aggregated by economy on a quarterly basis from 2020 onward. I have just started getting into GNS3 and all I can say is that the 1.x version is amazing. Configure gns3-gui to start up gns3-server and dynamips when gns3-gui is launched. You can create a desktop shortcut to gns3-gui. ![]() Sudo apt-get install python3-setuptools python3-pyqt4 Sudo apt-get install python3-setuptools python3-zmq python3-netifaces Install the dependencies if they have not already been installed: I downloaded mine to the Public folder in my home folder. Sudo apt-get install libelf-dev uuid-dev libpcap0.8-devĭownload the source files to your system. Install the Dynamips dependencies if they have not already been installed: Since we will be installing from the source files from the git repository on, you will need to install git: I configured a VM with 16GB of RAM and I was able to get GNS3 up and running on Ubuntu 14.1 using the steps I will be documenting below. I’ve read somewhere that GNS3 runs better on Linux and I had some spare cycles on a Hyper-V host. ![]()
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