Domino Code Assist provides an intuitive point-and-click interface to accelerate common analysis and data science tasks. Code Assist generates modifiable boilerplate code in Python and R to jump-start productivity while giving you full control over your code.
Quickly import data from various data sources with boilerplate code generated from your data connections.
Clean and prep your data with Code Assist transformations.
Train a low-code model using Domino AutoML. Just choose your dataset and specify the prediction task. AutoML will handle data preparation, algorithm testing, and hyperparameter optimization to find the best model for you. AutoML speeds up repetitive tasks and provides starting code for more advanced projects.
Fine-tune large language models (LLMs) and computer vision models affordably, use Domino Foundation Models. You choose a foundation model and dataset to fine-tune it and Domino Code Assist generates code to preprocess the data and execute a model trainer. All the training code and experiment results are yours to track and change.
Quickly package and share your findings with data visualizations and applications built directly from Jupyter code cell outputs.
Reuse code snippets to automate repetitive tasks and build consistency.
In tests with analysts new to Python (new graduates), Code Assist enhanced productivity by 5-20x.
| Task | Novice Productivity Gain | Expert Productivity Gain |
|---|---|---|
Make a visualization | 5x faster | 1x faster |
Connect to Snowflake and import data | 5x faster | 2x faster |
Make an app | 10x faster | 2x faster |
Publish & share a dashboard | 20x faster | 3x faster |
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Increase portability — The code generated by Code Assist is always generic Python or R code, and so it’s perfectly portable. It can be productionized or downloaded and run off-platform.
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Build skills — Generating Python and R code interactively via Code Assist is a powerful learning tool. It flattens the learning curve and makes complex topics easily accessible.