Documentation Index
Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
Data Ingestion Integrations
Monitoring Integrations
Slack
OpsGenie
PagerDuty
Airflow Retrain
Amazon EventBridge Retrain
MLOps Partner Integrations
Arize integrates with platforms across the MLOps toolchain. Don’t see a platform you use? Reach out to add yours or ask our team to help!| ML Platform | Description | Example Integration | Blog |
|---|---|---|---|
| Algorithmia | MLOps platform with APIs to serve, host and manages models | Colab Link | Blog |
| Anyscale | Integration tutorial for Anyscale’s LLM Endpoints offering | Colab Link | Blog |
| Azure ML & Databricks | Using Arize in an Azure ML Databricks workflow | Colab Link | |
| Bento ML | Use Bento’s ML service platform to turn ML models into production-worthy prediction services | Tutorial Blog | |
| CML | Integrate Arize into the CI/CD workflow - Run checks on every new model version | Example here | |
| Deepnote | Deepnote is a Data Science Collaboration Platform | Deepnote Link | |
| Feast | Monitor & Troubleshoot any data inconsistency issue with feature stores Arize. | Colab Link | Blog |
| Google Cloud ML (Vertex AI) | Integrate Arize with Vertex AI | Available on Request | Blog |
| Hugging Face | Use Arize to monitor embeddings generated from Hugging Face NLP or Transformer models | Overview NLP Classification NLP NER Image Classification | Blog |
| Kafka | Use Arize Pandas SDK to consumes micro-batches of predictions | Example here | Blog |
| MLFlow | Integrating Arize and MLflow to track the model across experimentation and deployment | Colab Link | Blog |
| Neptune | Integrate Arize on models built using Neptune | Colab Link | Blog |
| OpenAI | Build unstructured models with OpenAI | Colab Link (NLP) | Blog |
| Paperspace | Integrate Arize on models built using Paperspace | Blog | |
| PySpark | To log Spark DataFrames, which have rdds as their underlying structure, we will use mapInPandas to log them to arize. | Colab Link | |
| Ray Serve (Anyscale) | Arize can be easily integrated with Ray Serve with at single entry point during ray.serve.deployment | Overview | Blog |
| Sagemaker | Batch Real-Time | ||
| Spell | Combine Spell model servers with Arize model observability | Overview Colab Link | Blog |
| UbiOps | Arize platform can easily integrate with UbiOps to enable model observability, explainability, and monitoring. | Colab Link | Blog |
| Weights & Biases | Integrating Arize and W&B to track the model across experimentation and deployment | Colab Link |