Connect everyone
through data
Zero-True is an open-source reactive notebook for Python, focused on seamless integration, effortless reproducibility, and unmatched efficiency.
Get started today
Work on your projects locally with Zero-True's open source notebook:
Install and run Zero-True
pip install zero-true
zero-true notebook
Next check out our documentation for more info.
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Experience a truly reactive data notebook
Zero-True notebooks are reproducible, highly interactive, collaboration-friendly (Git-optimized!), and can be deployed as scripts or apps, making them ideal for the modern data scientist.
Outputs update instantly
Zero-True parses your code to determine which cells are related and updates downstream cells automatically so your notebooks update without rerunning unnecessary code.
Pandas
Seamlessly integrated into Zero-True for robust data manipulation and analysis, ensuring smooth handling of structured data and simplifying complex operations.
TensorFlow
Zero-True integrates TensorFlow for seamless model training and deployment, empowering efficient exploration of machine learning tasks.
matplotlib
Integrated with Zero-True, matplotlib enhances data visualization, allowing the creation of diverse, customizable plots and charts for insightful exploration.
PyTorch
Integrated with Zero-True, PyTorch supports seamless model development and deployment, enabling direct experimentation with deep learning models.
NumPy
Zero-True leverages NumPy for efficient numerical computing and array manipulation, enhancing data processing and performance.
Plotly
Zero-True uses Plotly to create dynamic, interactive visualizations directly from notebooks, enhancing data presentation and analysis effortlessly.
Made with
Zero-True
With Zero-True, the possibilities are endless. Explore these example notebooks for inspiration to spark your creativity.
Pomodoro-Timer
A timer feature within the application to maximize productivity, ensuring you can efficiently track and manage the timing of tasks.
DALL-E Simple Interface Design
This example shows how with less than two dozen lines of code, one can make a beautiful customized interface to the OpenAI DALL-E endpoint.
Citibike Leaderboard
An unofficial leaderboard built on top of 42 million rides for the NYC bike-sharing community, built entirely with zero-true
Stock Prediction with Open Source
Explore Apple's stock price history from 1980 to 2021 with interactive sliders and a dynamic scatter plot, providing customizable and engaging insights.