🦥 We built a pixel-art office where five cats do your data analysis while a sloth naps 🐱

Описание и применение

Приложение локально обрабатывает данные, автоматически выполняя профилирование, поиск дубликатов и визуализацию, а затем объясняет результаты с помощью локальной модели Gemma 3.

Задача

Data analysts spend repetitive time on exploratory analysis steps such as profiling, quality checks, and starter charts before interpreting results.

Результат

The assistant automates the repetitive first pass of exploratory data analysis, keeping all data on the local machine and providing explanations, code, and visualizations without external API calls.

Рабочий процесс

• Upload CSV/TSV/Excel file
• Python pipeline computes statistics and generates charts
• Gemma 3 (via Ollama) generates plain‑English explanations and code
• Guard removes any sentence containing a number not in the data
• User can ask follow‑up questions in chat
• Export results as ZIP or Jupyter notebook

Доказательства

Every dataset starts the same way: df.head(), count the missing values, find the duplicates, draw a histogram, repeat. So we handed that work to a team of cats.

Источник

Purrrfessorrr Slothhh is a local-first data analysis assistant. Upload a CSV, TSV, or Excel file, and a very sleepy sloth professor delegates the work to five specialist cats. Your data never leaves your machine.

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Python computes every number. The analysis is a plain, documented pipeline, so the same file always gives the same report.

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Gemma only explains. It sees a summary of the computed results, not your raw rows. A guard then removes any sentence containing a number that isn't in the real data.

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The app refuses to talk to any model that isn't on localhost.

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