Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code

In this project, a time series forecasting pipeline is built in InfluxDB 3 Core without writing any code manually. The pipeline uses the Python Processing Engine and Facebook's Prophet library to forecast daily page views for a Wikipedia article over an entire year. A fully functioning interactive forecasting pipeline is created with three purpose-built plugins: one to load historical data, another to generate daily forecasts, and one to visualize results on demand. This project showcases how InfluxDB 3 Core can be used to build advanced time series workflows without requiring extensive coding knowledge, making it accessible to developers of all levels. The pipeline is built using a combination of natural language prompts to an AI model, which generates the necessary code for each component, and then iteratively validated until everything works end-to-end. This approach demonstrates the potential of AI-assisted development in building complex data pipelines.

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