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source{d} Community Edition (CE) helps you to manage all your code and engineering data in one place:
Code Retrieval: Retrieve and store the git history of the code of your organization as a dataset.
Analysis in/for any Language: Automatically identify languages, parse source code, and extract the pieces that matter in a language-agnostic way.
History Analysis: Extract information from the evolution, commits, and metadata of your codebase and from GitHub, generating detailed reports and insights.
Familiar APIs: Analyze your code through powerful SQL queries. Use tools you're familiar with to create reports and dashboards.
This repository contains the code of source{d} Community Edition (CE) and its project documentation, which you can also see properly rendered at docs.sourced.tech/community-edition.
If you want more details of each step, you will find in the Quick Start Guide all the steps to get started with source{d} CE, from the installation of its dependencies to running SQL queries to inspect git repositories.
If you want to know more about source{d} CE, in the next steps section you will find some useful resources for guiding your experience using this tool.
If you have any problem running source{d} CE you can take a look at our Frequently Asked Questions or Troubleshooting sections. You can also ask for help when using source{d} CE in our source{d} Forum. If you spotted a bug, or you have a feature request, please open an issue to let us know about it.
source{d} CE is deployed as Docker containers, using Docker Compose.
This tool is a wrapper for Docker Compose to manage the compose files and its containers easily. Moreover, sourced does not require a local installation of Docker Compose, if it is not found it will be deployed inside a container.
The main entry point of source{d} CE is sourced-ui, the web interface from where you can access your data, create dashboards, run queries...
The data exposed by the web interface is prepared and processed by the following services:
source{d} has an amazing community of developers and contributors who are interested in Code As Data and/or Machine Learning on Code. Please join us! π