Package Health Score

55 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 7
Forks: 1
Contributors: 140

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package diagrams_ext, we found that it has been starred 7 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jan 11, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 3
Open PR: 10
Last Release: 12 months ago
Last Commit: 8 months ago

Further analysis of the maintenance status of diagrams_ext based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

We found that diagrams_ext demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 140
Funding: No

A good and healthy external contribution signal for diagrams_ext project, which invites more than one hundred open source maintainers to collaborate on the repository.

We found a way for you to contribute to the project! Looks like diagrams_ext is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7,<4.0

Age: 12 months
Latest Release: 12 months ago
Dependencies: 4 Direct / 9 Total
Versions: 4
Maintainers: 0
Wheels: OS Independent

Readme

diagrams logo

⚠️ This repo is an extension version for diagrams, since the upstream is inactive, this fork will use main/ as the active branch. I rename the project as diagrams-ext to avoid conflict with upstream since 0.23.5-alpha4.

Main Features:

How to use:

poertry add diagrams_ext

⚠️ Check README_MAIN.md for more details

Diagrams

Run tests contributors

Diagram as Code.

Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture design without any design tools. You can also describe or visualize the existing system architecture as well. Diagrams currently supports main major providers including: AWS, Azure, GCP, Kubernetes, Alibaba Cloud, Oracle Cloud etc... It also supports On-Premise nodes, SaaS and major Programming frameworks and languages.

Diagram as Code also allows you to track the architecture diagram changes in any version control system.

> NOTE: It does not control any actual cloud resources nor does it generate cloud formation or terraform code. It is just for drawing the cloud system architecture diagrams.

Providers

Getting Started

It requires Python 3.7 or higher, check your Python version first.

It uses Graphviz to render the diagram, so you need to install Graphviz to use diagrams. After installing graphviz (or already have it), install the diagrams.

> macOS users can download the Graphviz via brew install graphviz if you're using Homebrew.

# using pip (pip3)
$ pip install diagrams

# using pipenv
$ pipenv install diagrams

# using poetry
$ poetry add diagrams

You can start with quick start. Check out guides for more details, and you can find all available nodes list in here.

Examples

Event Processing	Stateful Architecture	Advanced Web Service

You can find all the examples on the examples page.

Contributing

To contribute to diagram, check out contribution guidelines.

> Let me know if you are using diagrams! I'll add you in showcase page. (I'm working on it!) 😃

Who uses it?

Cloudiscovery helps you to analyze resources in your cloud (AWS/GCP/Azure/Alibaba/IBM) account. It allows you to create a diagram of analyzed cloud resource map based on this Diagrams library, so you can draw your existing cloud infrastructure with Cloudiscovery.

Airflow Diagrams is an Airflow plugin that aims to easily visualise your Airflow DAGs on service level from providers like AWS, GCP, Azure, etc. via diagrams.

Other languages

If you are familiar with Go, you can use go-diagrams as well.

License

MIT

diagrams_ext dependencies

graphviz jinja2 requests typed-ast

FAQs

What is diagrams_ext?

Diagram as Code. Visit Snyk Advisor to see a full health score report for diagrams_ext, including popularity, security, maintenance & community analysis.

Is diagrams_ext popular?

The python package diagrams_ext receives a total of 99 weekly downloads. As such, diagrams_ext popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is diagrams_ext well maintained?

We found indications that diagrams_ext is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is diagrams_ext safe to use?

While scanning the latest version of diagrams_ext, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 19 December-2024, at 18:23 (UTC).

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diagrams_ext

Diagram as Code For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

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Maintenance

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Community

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Package

Readme

Diagrams

Providers

Getting Started

Examples

Contributing

Who uses it?

Other languages

License

diagrams_ext dependencies

FAQs

What is diagrams_ext?

Is diagrams_ext popular?

Is diagrams_ext well maintained?

Is diagrams_ext safe to use?

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Package Health Score

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Commit Frequency

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Readme

Diagrams

Providers

Getting Started

Examples

Contributing

Who uses it?

Other languages

License

diagrams_ext dependencies

FAQs

What is diagrams_ext?

Is diagrams_ext popular?

Is diagrams_ext well maintained?

Is diagrams_ext safe to use?

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Source Code

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