Development and Visualization Tools

Description

In the world of software engineering, an Integrated Development Environment (IDE) provides a graphical interface to edit, compile, run, and debug code. When developing software in Java or .NET, or for mobile applications, IDEs are widely used. The idea of an Integrated Development Environment for machine learning is less well developed and not widely used. For the tools that exist, they are frequently paired with Auto ML capabilities.

Projects

3

Lines Committed vs. Age Chart (click to view)

Lines Committed vs. Age Chart (click to view)

Projects

Project

Size Score

Trend Score

Byline

h2o-3

7.0

6.0

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Orange3

6.0

6.25

Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox.

Weka

3.25

3.25

The workbench for machine learning