online gambling singapore online gambling singapore online slot malaysia online slot malaysia mega888 malaysia slot gacor live casino malaysia online betting malaysia mega888 mega888 mega888 mega888 mega888 mega888 mega888 mega888 mega888 7 tools for visualizing a codebase

摘要: Need to write a README file, but not sure what to say? If this is a frustration that bothers you frequently, you might consider beefing your document up with a diagram. After all, a picture is worth a thousand words, as the cliche goes.



▲Photo by Hanna Morris on Unsplash

This article collects tools that generates graphs for a code repository.

Visualize files by size and type

Let’s start with the most generic tool, repo-visualizer. It plots files as bubbles, indicating their extension names and sizes with colors and sizes, respectively. It's brought to you by GitHub Next, a lab at GitHub the company, and (naturally) it's packaged as a GitHub Action.

Visualize Docker Compose files

The next tool specifically caters to Docker users, but it’s still language-agnostic. To visualize docker-compose.yml, you can use docker-compose-viz:


Here’s how it would look:


I like how it’s also plotting extra information like open ports and mounted volumes.

Visualize call graphs

Code2flow supports a couple of dynamic languages, including Python, JavaScript, Ruby, and PHP.

Here’s the example provided in its README:



If Python is the only language you care about, you might have heard of pycallgraph , but -- alas, the bane of open source software projects -- the original author had to abandon the project due to personal time constraints. The most sensible alternative I can find is pyan.



Visualize dependencies

A fundamental functionality of build systems and package managers is dependency resolution. As you’d expect, many visualization tools tap into dependency graphs generated by these software to plot diagrams for a repository.

Under the hood, most of these tools use graphviz for the actual plotting work. Therefore, don't be surprised to discover that the diagrams share a similar style.

Bazel is a language-agnostic build system. The developers behind Bazel know its users so well that they put up an official guide for visualizing dependencies defined with Bazel:


It gives something like this:


For Python packages in an environment, use pipdeptree:



For Java projects built with Maven, depgraph-maven-plugin is the way to go:





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