{"best_for":["Python developers","Data scientists","Machine learning engineers","Users of Visual Studio Code"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/deepgenx","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/deepgenx.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-015.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: DeepGenX (https://aitoolsforbusiness.ai/deepgenx)"},"features":["VS Code Extension: Integrates into the Visual Studio Code editor for use during development.","GPT-J 6B Model: Uses a 6 billion parameter model fine-tuned on Python code.","Data Science Support: Supports code generation for data wrangling and plotting using NumPy, Pandas, Matplotlib, and Plotly.","Web Framework Support: Supports code generation for web development using Django and Flask.","ML and Deep Learning Support: Supports libraries including scikit-learn, TensorFlow, Keras, and PyTorch.","Computer Vision and Game Dev Support: Includes support for OpenCV for visual data and Pygame for game development."],"freshness_status":"fresh","name":"DeepGenX","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Software Development","profile_last_verified":"2026-06-04T18:25:40.988Z","secondary_categories":[],"short_description":"DeepGenX is a VS Code extension providing AI-powered code generation, fine-tuned for Python development and data science.","slug":"deepgenx","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/deepgenx","use_cases":["Data Science Workflows: Generating Python code for data wrangling with Pandas and NumPy or creating plots with Matplotlib.","Web Application Development: Supporting the build process for web apps using the Django and Flask frameworks.","Machine Learning Implementation: Assisting in the creation of neural networks and ML models using TensorFlow, Keras, or PyTorch.","Computer Vision Projects: Generating code to handle visual data via the OpenCV library."],"website_url":"https://deepgenx.com/"}