Common questions

How do I analyze a GitHub repository?

How do I analyze a GitHub repository?

Analyzing GitHub Repositories using NG SAST

  1. Step 1: Provide Access to Your GitHub Repositories. Log in to ShiftLeft, and click Add App.
  2. Step 2: Choose the Repository to Analyze. At this point you can choose to:
  3. Step 3: Merge the GitHub Pull Request (Optional)

Which analytics tool is most commonly used?

Excel is, of course, the most widely used Data analytics software in the world. Whether you are an expert in R or Tableau, you will still use Excel for the grunt work.

How do I get reports from GitHub repository?

Reporting an issue or pull request In the upper-right corner of the issue or pull request, click , then click Report content. You may see options to Report to repository admins or Report abuse to GitHub Support.

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How do I use GitHub insights?

In the top right corner of GitHub.com, click your profile photo, then click Your organizations. Click the name of your organization. Under your organization name, click Insights. Optionally, in the upper-right corner of the page, choose to view data for the last 1 week, 1 month, or 1 year.

What is GitHub pulse?

Github Pulse is an app to help you keep your streaks, contributing a commit every day. Get for free! Currently v0.3.0. Only for Mac OS X and Google Chrome.

Is GitHub Pro free?

All Pro features for free while you are a student.

Is Python an analytic tool?

R and Python are both data analysis tools that need to be programmed. The difference is that R is used exclusively in the field of data analysis, while scientific computing and data analysis are just an application branch of Python.

Is Tableau a data analytics tool?

Tableau is an end-to-end data analytics platform that allows you to prep, analyze, collaborate, and share your big data insights. Tableau excels in self-service visual analysis, allowing people to ask new questions of governed big data and easily share those insights across the organization.

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How do I see stats in git?

When it comes to sourcing git stats, you have four good options to consider….Gallery of free git stats tools with screenshots & examples

  1. Roll your own (with git command line). Use git’s built-in faculties to see commits per author.
  2. Use your git provider or IDE’s stats.
  3. Free GitClear trial.
  4. Install a free tool.

What is Github do?

GitHub is a code hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere. This tutorial teaches you GitHub essentials like repositories, branches, commits, and pull requests. Create and use a repository. Start and manage a new branch.

Is GitHub a blog?

The GitHub Blog | Updates, ideas, and inspiration from GitHub to help developers build and design software.

What is the best statistical analysis tool for Git repositories?

Gitinspector is a statistical analysis tool for git repositories. The default analysis shows general statistics per author, which can be complemented with a timeline analysis that shows the workload and activity of each author.

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What are the best open source analytics tools for web analytics?

Offen – Offen is a fair and open web analytics tool. Gain insights while your users have full access to their data. Lightweight, self hosted and free. ( Demo, Source Code) Apache-2.0 Go/Docker Freshlytics – Privacy respecting, cookie free and low resource usage analytics platform. MIT Docker/Nodejs

What can I See with the GitHub API?

Keep in mind that, via this API, you can access basically all the info you see when browsing the GH repo of the project but you have a limited perspective on the internals of the “Git side of the project” (e.g. if you want to know what lines of code were modified during the last day).

What are the best alternatives to Google Analytics?

Umami – Umami is a simple, easy to use, self-hosted web analytics solution. The goal is to provide you with a friendlier, privacy-focused alternative to Google Analytics and a free, open-sourced alternative to paid solutions. ( Demo, Source Code) MIT Nodejs