chatterbot

ChatterBot is a machine-learning powered conversational dialog engine written in Python. It enables developers to build chatbots capable of generating dynamic, contextually relevant responses by learning from past interactions. The system starts untrained and gradually improves as it accumulates conversation data — storing user inputs and corresponding replies to identify patterns and select the most probable response based on frequency and similarity. It features language-independent design, allowing training in any language through contributed corpora. Pre-built training datasets are available for over a dozen languages, including English greetings and conversation sets. Users can install ChatterBot via pip and begin training using the included corpus trainer or custom datasets. The library supports modular training: developers can train on general corpora, specific topics (like greetings), or combine multiple datasets. Example code demonstrates initializing a bot, training it with English corpus, and querying it for responses. Documentation, examples, and contribution guidelines are provided to support community development. ChatterBot is open-source under the BSD 3-clause license and sponsored by TestMu AI. Community contributions — especially new training data or translations — are encouraged via pull requests to the chatterbot-corpus repository.