Examples

Texera makes it easy to design and execute data analytics workflows visually.
Here, you’ll find a collection of example workflows that highlight Texera’s capabilities — from data ingestion and transformation to visualization and machine learning.

🧩 Example Workflows

Each example demonstrates how Texera operators can be combined to solve different types of data problems.

• Text Analytics Workflow
  Analyze text data using tokenization, keyword extraction, and word cloud visualization.
  → See the Text Analytics Example

• Join and Filter Workflow
  Combine multiple datasets using joins and filters to create complex data pipelines.
  → See the Join Operator Example

• Machine Learning Workflow
  Build end-to-end ML workflows with data preprocessing, model training, and evaluation operators.
  → See the Machine Learning Example

• Visualization Workflow
  Explore Texera’s interactive visual operators like scatter plots, histograms, and word clouds.
  → See the Visualization Example

💡 How to Run the Examples

To try these examples on your local Texera instance:

1. Launch Texera following the Getting Started guide.
2. Open the Workflow Editor in your browser at http://localhost:4200.
3. Import an example workflow file (.json) from the Texera Example Repository.
4. Run the workflow to see Texera’s operators and data visualizations in action.

🧠 Want to Contribute an Example?

If you’ve built your own workflow and want to share it:

• Fork the Texera repository.
• Add your workflow under examples/ with a short README.
• Submit a pull request following our Contribution Guidelines.

These examples are a great starting point for learning Texera’s visual programming model and understanding how different operators interact to form powerful data pipelines.