Noventis: Intelligent Automation for Your Data Analysis.
Free Data Scientists from Repetitive Tasks, Focus on Valuable Insights.
What Is Noventis?
Noventis was born from a single belief: a data practitioner's time is too valuable to be spent on repetitive tasks. That's why we created this intelligent Python toolkit to take over tedious jobs like initial data cleaning and exploratory analysis. The goal is simple—to free you up to focus directly on high-value work like deep analysis, complex modeling, and strategic decision-making.
Key Modules
Automated Data Cleaning & Preprocessing
Handle missing values, detect outliers, and preprocess features automatically. Every step is complete with quality reports and before-and-after comparison visualizations, so you always maintain full control over your data.
Automated Data Exploration & Smart Visualizations
Generate of statistical visualizations—from distributions to correlations—with a single line of code. Gain a deep understanding of your dataset in seconds, not hours, without needing to write plotting code one by one.
Rapid ML Model Building & Evaluation
Train and evaluate multiple machine learning models at once with an AutoML approach, or select your specific algorithms. Get a baseline model for your project instantly, allowing you to move on to the tuning phase faster.
How Noventis Empowers Your Workflow
Gain Faster Insights
Accelerate Workflows
Effortless Usability
Reduce Boilerplate Code
Focus on High-Value Work
Quick Installation Guide
Quick Installation Guide
Ensure you have Python 3.8 or newer installed. Noventis is published on PyPI, allowing for a simple and straightforward installation using pip.
pip install noventisVerify Installation
Once the installation is complete, you can verify that Noventis was installed correctly by importing it in Python and checking its version.
import noventis
print(noventis.__version__)Virtual Environment Guide
We highly recommend installing Noventis inside a virtual environment to keep your project dependencies isolated and clean. Here is a quick guide to create one using venv.
python -m venv noventis_env
source noventis_env/bin/activate # Linux/macOS
# noventis_env\Scripts\activate # Windows
source noventis_env/bin/activate # Linux/macOS
pip install noventisGet Started in Seconds!
python -m venv noventis_env
source noventis_env/bin/activate # Linux/macOS
# noventis_env\Scripts\activate # Windows
source noventis_env/bin/activate # Linux/macOS
pip install noventisinsert of the visual output from the code (e.g., a summary table or a simple plot).
What's Next for Noventis?
Interact with Your Data Using Everyday Language
Automated Comprehensive Project Reporting