Skip to main content

Neonize Abstraction

Project description

Thundra

Label Label Label

Release Pypi PyPI - Downloads

Thundra is a framework designed to streamline the development of WhatsApp bots and automations. It provides a solid foundation and abstraction layer to simplify the process of creating and managing WhatsApp bots for various purposes.

Features

  • Abstraction Layer: Thundra abstracts away the complexities of interacting with the WhatsApp API, allowing developers to focus on bot logic rather than low-level implementation details.
  • Ease of Use: Thundra is designed to be beginner-friendly, with clear documentation and intuitive APIs.
  • Modular Architecture: The framework follows a modular architecture, making it easy to extend and customize functionality according to specific project requirements.
  • Scalability: Thundra is built with scalability in mind, capable of handling large volumes of messages and interactions.
  • Built-in Tools: Thundra includes built-in tools and utilities to facilitate common tasks such as message parsing, state management, and data storage.

Getting Started

To get started with Thundra, follow these steps:

  1. Installation: Install Thundra via pip:

    pip install thundra-ai
    
  2. Configuration: Set up your WhatsApp account credentials and other configurations in the thundra.toml file.

  3. Create a Bot: Write your bot logic using the Thundra framework. Here's a simple example:

    > thundra create
    > thundra run
    
  4. Deploy: Deploy your bot to your preferred hosting environment. Thundra is compatible with various deployment options, including cloud platforms and self-hosted servers.

  5. Interact: Once deployed, your bot is ready to interact with users on WhatsApp. Start sending messages and observing bot responses.

For more detailed instructions and examples, refer to the documentation.

Contributing

We welcome contributions from the community! If you have ideas for improvements, bug fixes, or new features, feel free to open an issue or submit a pull request on GitHub.

License

Thundra is licensed under the Apache License. See the LICENSE file for details.

Contact

If you have any questions, suggestions, or feedback, you can reach out to us at krypton-byte or join our community Discord server.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

thundra_ai-0.1.4.tar.gz (122.3 kB view details)

Uploaded Source

Built Distribution

thundra_ai-0.1.4-py3-none-any.whl (130.6 kB view details)

Uploaded Python 3

File details

Details for the file thundra_ai-0.1.4.tar.gz.

File metadata

  • Download URL: thundra_ai-0.1.4.tar.gz
  • Upload date:
  • Size: 122.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.8 Linux/6.5.0-1023-azure

File hashes

Hashes for thundra_ai-0.1.4.tar.gz
Algorithm Hash digest
SHA256 67e9655074094dcc854a36b0b56a56e05e1e7890ea77617ebef4e991d3d6f24a
MD5 7d0f280a1fb7fd59b2317667a8fa5872
BLAKE2b-256 6b5c71bac441887311394846301b55739ddc0843fde17fed6be0b2bd9d46de25

See more details on using hashes here.

File details

Details for the file thundra_ai-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: thundra_ai-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 130.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.8 Linux/6.5.0-1023-azure

File hashes

Hashes for thundra_ai-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 58cf0838c29dc57b75b9eb70df8f47f181e913c9294ee6e0e8c19380212f3132
MD5 f099e86887c95d2b080244e34bd361d7
BLAKE2b-256 1dd9bb4beeb61b7258180b273c4155be83331ceea32e97c0b50143a1bdca2c82

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page