BotDisco analyzes network traffic to detect bots and other automated tools interacting with web applications, using machine learning algorithms to identify patterns of bot activity.
BotDisco is an open source bot detection and analysis platform. It is designed to analyze web traffic and detect bots, scrapers, and other unwanted automation interacting with web applications.
BotDisco works by analyzing network logs and looking for patterns of activity that indicate bots rather than humans. It uses machine learning algorithms to distinguish bots from real users based on factors like access patterns, behavior flows, data shapes, and more. As an open source tool, developers can also create custom detection rules.
Once installed in a web server stack, BotDisco will monitor traffic in real-time and generate alerts when bots are detected. It has visualization tools for analyzing bot patterns and tracking bot evolution over time. BotDisco can help web administrators identify and block bad bots, while allowing good bots and humans through.
Overall, BotDisco aims to provide an advanced bot detection and analysis solution to help companies gain visibility into automation activity on their websites. With its machine learning capabilities, it can detect even sophisticated bots that try to mask their patterns. And as an open source project, the community can continuously improve and tune BotDisco's detection algorithms.
Here are some alternatives to BotDisco:
Suggest an alternative ❐