readme-ai | 🚀 Command-line tool

by eli64s Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | readme-ai Summary

readme-ai is a Python library. readme-ai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install readme-ai' or download it from GitHub, PyPI.

Generate aesthetic, structured, and informative README.md files Powered by OpenAI's language model API and the software below.

Support

Quality

Security

License

Reuse

Support

readme-ai has a low active ecosystem.

It has 18 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of readme-ai is current.

Quality

readme-ai has no bugs reported.

Security

readme-ai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

readme-ai is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

readme-ai releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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readme-ai Key Features

No Key Features are available at this moment for readme-ai.

readme-ai Examples and Code Snippets

No Code Snippets are available at this moment for readme-ai.

Community Discussions

No Community Discussions are available at this moment for readme-ai.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install readme-ai

Alternatively, you can set up the OpenAI API key in a .env file in the root directory of the project.
Clone the README-AI repository:
Create a new Conda environment and install the required dependencies:
Set up the OpenAI API key by creating an environment variable:

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: