Devra

Devra is a developer tool that turns raw data files into finished, executed Jupyter notebooks. Devra converts raw data files into executed Jupyter notebooks with analysis code, narrative, tables and charts, ready to review in the browser or download as .ipynb for Jupyter and Kaggle.

Devra is a web tool that produces complete Jupyter notebooks from data files. You bring a dataset, and Devra inspects its schema, writes the analysis, runs the code in a Python environment, and returns a notebook that has already been executed. The output is not a written summary or a static report. It is a working .ipynb file containing the analysis code, explanatory narrative, tables and generated charts, ready to open, modify or download. The emphasis is on readability as much as automation. Because the notebook ships with its own prose and its results already populated, a reader can follow the reasoning without re-running cells, which makes the format well suited to sharing findings with people who do not write code. From the browser, the notebook can be reviewed directly or exported for use in Jupyter or on Kaggle. The tool is aimed at data analysts, Kaggle competitors and anyone who needs to move from a raw file to an explained analysis without building the notebook by hand. It is most useful when the dataset is unfamiliar: schema inspection comes first, so the generated code responds to the actual columns and types rather than a generic template. Devra is built in public, and its creator uses the same tool for his own published work on Kaggle, where the account sits high in the global notebook upvote ranking. That is a credible signal that the output clears the bar for public, reviewed notebooks, though it is also a marketing claim rather than independent verification. Against alternatives, Devra sits in a narrow spot. General coding assistants can draft pandas code, but they leave execution, chart rendering and narrative packaging to you. Automated EDA libraries generate profiling reports, yet they produce fixed output rather than an editable notebook. Devra aims between the two: an executed, human-readable notebook you can keep working in. The scope appears deliberately limited to tabular analysis on files, so expect it to be a starting point for exploration rather than a replacement for domain judgment.