AI Chatbot Framework

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Overview

HEALTH SCORE

Concerning

31out of 100

Development cadence is the lead risk. Security posture and maintainer coverage are present but not enough to offset the structural risk.

LIFECYCLE

Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

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Health breakdown

Concerning(31/100)

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

No PRs or issues were opened in the review window, so response time could not be measured.

Bus factor

No data available. Repository has not been indexed for bus factor.

Organization Diversity

Contributors span 4 organizations.

Project Achievements

Leaderboards

About

An open-source chatbot framework built with Python and MongoDB that enables developers to create and train AI-powered conversational agents. It provides a web interface for training, testing and managing chatbot interactions, along with natural language processing capabilities and a REST API for integration.

First commit

May 2016

Software value

$213K