Hands‑On Review of AiPy: Open‑Source AI‑Python Tool for Data Analysis, Reporting & Video Creation

AiPy is a free open‑source AI‑Python assistant that claims to perform data analysis, report writing, and video generation entirely on a local machine without requiring users to write code. The author discovered AiPy on its website, installed the Windows/Mac client, and found the interface simple with many built‑in examples.

Case 1: 50‑Year U.S. GDP Trend Analysis – The author selected the built‑in "U.S. GDP growth" example, which involves data acquisition, cleaning, analysis, charting, and report drafting. AiPy automatically listed the steps, fetched the data, produced visualizations, and generated a draft report. A formatting issue caused overlapping text for two 2001 events; after reporting the problem, AiPy identified the cause (vertical overlap of two major timestamps) and corrected it by separating the annotations, using different heights, arrow directions, and colors, resulting in a clear final chart.

Case 2: Cambricon Stock Analysis – To test current market relevance, the author asked AiPy to analyze the recent surge of Cambricon’s stock price, its drivers, potential risks, and future outlook. Enabling the web‑search and corporate‑information modules, the author supplied a prompt (shown in the screenshot). AiPy quickly returned a browser view with a detailed analysis, highlighting price‑movement reasons, growth potential, risk factors, and color‑coded key information. It also produced a stock price chart, revenue overview, and investment‑strategy suggestions, noting that while not as deep as a broker’s multi‑hundred‑page report, it offers a useful first‑pass assessment and dramatically speeds up data gathering and logical structuring.

Case 3: AI‑Generated Short Video – The author challenged AiPy with a short‑video project for the Qixi festival (the “Cowherd and Weaver Girl” story). The workflow was split into two steps: first, AiPy wrote a detailed script; second, it generated eight storyboard clips, combined them, added voice‑over and subtitles, and exported the final video. Screenshots show the script, storyboard generation, and the completed video, which the author describes as coherent and visually appealing.

Conclusion – Across all three scenarios, AiPy proved capable of handling diverse tasks without user‑written code, operating fully offline to protect data privacy. The tool efficiently automates repetitive steps, produces clear visualizations and reports, and even creates short videos. The author recommends using AiPy for any AI‑assistable work, noting its reliability and the convenience of having an “ tireless assistant ” at hand.