Interactive · Live
ANN Builder Studio
Neural Networks, Hands-On
A hands-on neural-network workspace: upload a CSV, explore and clean it, design the network layer by layer, train it, and export predictions.
- Free · Open source
- Web · Any browser
- Python · Streamlit
- Streamlit Community Cloud
ANN Builder Studio is a live, guided workspace for building neural networks without writing code. Upload a CSV, explore and clean the data, design the network layer by layer, train it, and export predictions, with interactive visuals at every step.
We built it to make machine learning tangible: the same concepts that power our production forecasting systems, opened up so you can experiment with them directly.
The live app now includes dataset preprocessing alongside data exploration and ANN training.
Input
Upload CSV data, review quality, and clean missing values or duplicates before modeling.
Model
Set hidden layers, neuron counts, and training parameters in a guided flow.
Outcome
Evaluate performance, test new data, and export prediction results.
Machine learning stays abstract until you've built a model yourself, but the tooling assumes you already know Python, notebooks, and a dozen libraries.
ANN Builder Studio removes that barrier: the full workflow from raw CSV to trained network to exported predictions, in a guided visual interface.
What It Does
Data Exploration
Upload CSV data and review distributions, correlations, and quality before modeling.
Preprocessing Tools
Handle missing values and duplicates with guided cleaning steps.
Visual Network Design
Set hidden layers, neuron counts, and training parameters in a guided flow.
Training & Evaluation
Train in the browser session, inspect performance, and iterate quickly.
Prediction Export
Test the trained model on new data and export the results.
Priced in the Open
Free Open source
Free to use, with the source published on GitHub. Built as a teaching tool, not a product line.
Talk to Us About ANN Builder StudioStreamlit Community Cloud
A teaching tool, hosted where teaching tools belong: free, public, and disposable. Nothing you upload outlives the session.
- Python
- Streamlit
- scikit-learn
- Pandas
Common Questions
Related Reading & Services
ANN Builder Studio: Making Neural Networks Hands-On
Building a live, no-code workspace where anyone can go from raw CSV to a trained neural network, and why we opened the repository.
Practical Forecasting for Small-Business Finance
You don't need a data science team to forecast cash and revenue. You need clean history, honest uncertainty, and models you can explain to whoever bets on them.
Have a Project in Mind?
Tell us your goal. We’ll help define the scope, timeline, and first useful delivery.
