diagrams VS home-ops

Compare diagrams vs home-ops and see what are their differences.

diagrams

:art: Diagram as Code for prototyping cloud system architectures (by mingrammer)

home-ops

Wife approved HomeOps driven by Kubernetes and GitOps using Flux (by onedr0p)
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diagrams home-ops
110 52
34,544 1,650
- -
6.3 10.0
16 days ago about 9 hours ago
Python Shell
MIT License Do What The F*ck You Want To Public License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

diagrams

Posts with mentions or reviews of diagrams. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

home-ops

Posts with mentions or reviews of home-ops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-09.

What are some alternatives?

When comparing diagrams and home-ops you can also consider the following projects:

c4-draw.io - Draw.io template/diagram containing C4 Model shapes. Drawio Diagrams.net

Graphviz - Simple Python interface for Graphviz

obsidian-excalidraw-plugin - A plugin to edit and view Excalidraw drawings in Obsidian

excalidraw - Virtual whiteboard for sketching hand-drawn like diagrams

pygraphviz - Python interface to Graphviz graph drawing package

vscode-drawio - This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.

mermaid - Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications

matplotlib - matplotlib: plotting with Python

plantuml - Generate diagrams from textual description