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UbiOps Technical Documentation

How-to integrate with low-code

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Documentation
How-To's & Tutorials
Troubleshooting
API Explorer
CLI
Python client Library
Release Notes

UbiOps Technical Documentation

Documentation
Documentation
- Deployments
  Deployments
- Pipelines
  Pipelines
  - Operators
- Environments
  Environments
  - Installing OS-level packages
  - Environment Validation
- File storage
  File storage
- Training
- Making requests & processing data
  Making requests & processing data
- Compute & scaling settings
- Monitoring
  Monitoring
- Project & User Management
  Project & User Management
- Interfacing with UbiOps
  Interfacing with UbiOps
- Miscellaneous
  Miscellaneous
- Questions & Support
- Back to UbiOps.com
How-To's & Tutorials
How-To's & Tutorials
- Introduction
- Starter Tutorials
  Starter Tutorials
  - UI Starter Tutorials
    
    UI Starter Tutorials
    
    UI deployment Starter Tutorial
    
    UI pipeline Starter Tutorial
    
    UI training Starter Tutorial
  - Client library Starter Tutorial
  - CLI Starter Tutorial
- Tutorials
  Tutorials
  - Model deployment
    Model deployment
    
    Deploying a Scikit-Learn model
    
    Deploying a TensorFlow model
    
    Deploying an XGBoost model
    
    Inference speed of ONNX vs TensorFlow
  - Model training
    Model training
    
    Training a Tensorflow model
    
    Tensorflow Checkpointing
    
    Retraining a PyTorch model
    
    Training an XGBoost model
  - Integration examples with cloud provider tools
    Integration examples with cloud provider tools
    
    Azure Data Factory & UbiOps
    
    Azure Machine Learning
    
    Azure Functions trigger
    
    Google Cloud Functions trigger
  - Integration examples with other tools
    Integration examples with other tools
    
    MLFlow Conversion
    
    Mendix integration
    
    GSheets RFM pipeline
    
    Streamlit integration
    
    Weights and Biases integration using FinBERT
    
    TensorRT integration
    
    NVIDIA RAPIDS Benchmark
  - GenAI (LLMs & CV)
    GenAI (LLMs & CV)
    
    Deploy Bert
    
    Deploy Gemma 2b with streaming (CPU)
    
    Deploy Stable Diffusion
    
    Deploy Mistral 7B (development set-up)
    
    Deploy Llama 3.1 with streaming (GPU)
    
    Fine-tuning Falcon 1B
    
    Mistral RAG
    
    Deploy vLLM server
  - Working with pipelines
    Working with pipelines
    
    Pokemon Pipeline
    
    Pipeline Tutorial
  - UI tutorials
    UI tutorials
    
    Multiplying a number
    
    Load & run a pre-trained model
    
    Image recognition
    
    GPU deployment
    
    Customer segmentation
- How-to work with deployments
  How-to work with deployments
- How-to work with pipelines
  How-to work with pipelines
- How-to work with training
  How-to work with training
  - Training Checkpointing
  - Tracking training metrics on UbiOps
- How-to work with buckets & files
  How-to work with buckets & files
- How-to work with environments
  How-to work with environments
- How-to integrate with CI/CD
  How-to integrate with CI/CD
  - Set up CI/CD from Git
- How-to integrate with low-code
Troubleshooting
Troubleshooting
- Problems with building
  Problems with building
- Problems during requests
  Problems during requests
API Explorer
CLI
CLI
- Installation Guide
- Get Started
- Documentation
  Documentation
Python client Library
Python client Library
Release Notes
Release Notes

Integrate UbiOps with low-code platforms¶

UbiOps can be integrated with low-code platforms. This is a list of articles that show how that could be done:

How to integrate UbiOps with Mendix
How to integrate UbiOps with Outsystems
How to integrate UbiOps with Appian
How to integerate UbiOps with Betty Blocks