diagrams
Apache Superset
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| diagrams | Apache Superset | |
|---|---|---|
| 110 | 3 | |
| 34,794 | 34,745 | |
| - | - | |
| 6.3 | 9.9 | |
| 9 days ago | about 3 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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
- Diagrams as Code
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
diagrams - Diagram as Code.
- How to draw beautiful software architecture diagrams
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Top 9 Architecture diagram software for cloud infrastructure
Mingrammer is an intriguing tool for individuals who prefer coding diagrams rather than creating them through graphical interfaces. It operates using Python code and offers a relatively quick setup process. It is compatible with AWS, Azure, GCP, Alibaba, and Oracle. Notably, the project is open source and has garnered significant attention on GitHub with over 31K stars.
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Pravljenje AWS strukturnog diagrama
Ja sam koristio ovo: https://diagrams.mingrammer.com/
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Dynamically generate Cloud System Architecture diagram
That’s another option: https://diagrams.mingrammer.com Guessing with IaC done with Pulumi (Python) and this, it could pretty powerful and automatically generated.
- [Golang] Diagrammes comme code avec Go?
- Network diagram Tool
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Top 7 diagrams as code tools for software architecture
Diagrams allow you to draw cloud system architectures using Python code.
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Do you like to draw while explaining stuff?
I use excalidraw a lot for short conversations. If I have to go into major detail I use diagrams https://diagrams.mingrammer.com
Apache Superset
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Using KeyCloak(OpenID Connect) with Apache SuperSet
The first difference is that after pull request 4565 was merged, you can no longer do:
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Open-source BI platforms such as Metabase (website, GitHub) and Apache SuperSet (website, GitHub) are easy to deploy without IT involvement. Metabase lets you build dashboards from the data in your warehouse easily, with no SQL, or, if you have data engineering or science know-how, inside more powerful and flexible notebooks or with SQL itself. Similarly, Apache SuperSet helps businesses explore and visualize data from simple line charts to detailed geospatial charts.
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Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
Check out Superset. https://github.com/apache/incubator-superset
It’s modern, easy to extend. From the same author of apache airflow.
What are some alternatives?
c4-draw.io - Draw.io template/diagram containing C4 Model shapes. Drawio Diagrams.net
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Graphviz - Simple Python interface for Graphviz
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
obsidian-excalidraw-plugin - A plugin to edit and view Excalidraw drawings in Obsidian
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
excalidraw - Virtual whiteboard for sketching hand-drawn like diagrams
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
pygraphviz - Python interface to Graphviz graph drawing package
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
vscode-drawio - This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications