Use Case
Machine Learning & Model Serving
Training, tuning, and serving machine-learning models.
51 providers
261 APIs
37 declared variants
The model lifecycle — preparing training data, running experiments, fine-tuning models, and serving them behind low-latency or batch inference endpoints in production.
51 API providers on the APIs.io network offer machine learning & model serving. The highest-rated are Databricks, Oracle Cloud Infrastructure, Airbyte, Amazon S3, Amazon EFS.
Providers
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 4 Complete, well-documented, and agent-ready
Databricks
Collection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations.
Oracle Cloud Infrastructure
Collection of Oracle Cloud Infrastructure (OCI) REST APIs for managing cloud resources and services.
Airbyte
Airbyte is an open-source data integration platform that enables businesses to easily and efficiently move ...
Amazon S3
Amazon Simple Storage Service (S3) is an object storage service offering industry-leading scalability, data...
Strong 16 Solid coverage with minor gaps
Amazon EFS
Amazon Elastic File System (EFS) provides a simple, serverless, set-and-forget elastic file system for use ...
Amazon Lambda
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers,...
Azure Kubernetes Service
Azure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading the...
Rigetti Computing
Rigetti Computing (Nasdaq, RGTI) is a Berkeley, California-based quantum computing company building superco...
Amazon EC2
Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud, allowing you to launch...
Amazon IoT Greengrass
AWS IoT Greengrass extends AWS compute, messaging, data management, sync, and ML inference capabilities to ...
Amazon Mechanical Turk
Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and busi...
Azure Kubernetes Service
Azure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading the...
AWS Redshift
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and co...
Amazon Glue DataBrew
AWS Glue DataBrew is a visual data preparation tool that makes it easy for data analysts and data scientist...
Amazon Step Functions
Amazon Step Functions is a serverless workflow orchestration service that lets you coordinate distributed a...
Amazon AppFlow
Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between Sa...
Amazon Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time streaming data so you can get timel...
Apache Airflow
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows, deve...
Amazon Glue
Amazon Glue is a serverless data integration service that makes it simple to discover, prepare, move, and i...
Azure Databricks
Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a c...
Developing 17 Usable, with meaningful gaps to close
Apache Oozie
Apache Oozie is a workflow scheduler system for managing Apache Hadoop jobs. It enables users to define wor...
Amazon ECS
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it eas...
SnapLogic
Our AI-powered, all-in-one generative integration platform unifies your data and streamlines workflows to t...
AWS Step Functions
AWS Step Functions is a serverless orchestration service that lets you coordinate distributed applications ...
Argo Workflows
Argo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kuber...
Amazon Web Services (AWS)
Amazon Web Services is a comprehensive collection of cloud computing services and APIs provided by Amazon, ...
Apache Airflow
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. Airf...
Argo
Argo is a collection of open-source Kubernetes-native tools for workflows, events, CI/CD, and progressive d...
Pure Storage
Pure Storage is an American publicly traded technology company specializing in all-flash data storage hardw...
SAS Institute
SAS Institute is a global leader in analytics, AI, and data management software. SAS Viya, its cloud-native...
Microsoft Azure Cloud
A comprehensive collection of Microsoft Azure cloud service APIs covering compute, storage, databases, AI, ...
Apache Flink
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and ...
Apache HBase
Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigt...
Apache DolphinScheduler
Apache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the ...
Apache Giraph
Apache Giraph is an iterative graph processing system built for high scalability on Apache Hadoop. It is mo...
Azure Machine Learning
Azure Machine Learning is an enterprise-grade cloud service for building, training, deploying, and managing...
PokéAPI
PokéAPI (pokeapi.co) is a free, open-source RESTful and GraphQL API serving comprehensive Pokémon data — in...
Thin 5 Limited public surface area
Apache Spark
Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in ...
Apache Storm
Apache Storm is a free and open-source distributed real-time computation system that makes it easy to relia...
Apache Arrow
Apache Arrow is a cross-language development platform for in-memory analytics developed by the Apache Softw...
Apache Beam
Apache Beam is a unified, open-source programming model developed by the Apache Software Foundation for def...
Apache TVM
Apache TVM is an open-source compiler framework for deep learning that provides performance portability acr...
Emerging 9 Early or largely undocumented
Apache SystemDS
Apache SystemDS is an open-source ML system for the end-to-end data science lifecycle from data integration...
Pasqal
Pasqal is a French neutral-atom quantum computing company headquartered in Palaiseau, France and co-founded...
Xanadu
Xanadu is a Toronto-based photonic quantum computing company building cloud-accessible continuous- variable...
Conductor OSS
Conductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration pla...
Surge AI
Surge AI is a human-data company that provides large-scale, expert-quality labeled data for training and ev...
Sony
Sony Group Corporation is a Japanese multinational spanning electronics, gaming, entertainment, image senso...
Apache Mahout
Apache Mahout is an open-source framework for building scalable machine learning applications. The project ...
Apache MXNet
Apache MXNet is a retired deep learning framework (now in the Apache Attic) designed for both efficiency an...
Xanadu
Xanadu is a Canadian photonic quantum computing company building room-temperature, fault-tolerant, scalable...
What Providers Actually Declared
This use case is a canonical term. These are the free-text strings
providers wrote in their own apis.yml that map onto it.
AI and Machine LearningAI and Machine Learning PipelinesAI and Machine Learning WorkloadsAI/ML Data PreparationData and ML PipelinesDistributed Deep LearningEdge ML InferenceFederated Machine LearningGraph Machine Learning FeaturesHosting machine learning training datasetsHybrid quantum-classical machine learning experimentsML Data PreparationML Model Inference at ScaleML Model TrainingML Model Training PipelinesML Pipeline ManagementMLOps AutomationMLOps and Production MLMachine LearningMachine Learning Data LabelingMachine Learning Data PrepMachine Learning DatasetsMachine Learning Feature EngineeringMachine Learning Feature StoreMachine Learning Feature StoresMachine Learning InferenceMachine Learning Pipeline AutomationMachine Learning PipelinesMachine Learning ScoringMachine Learning TrainingMachine Learning WorkflowsModel Serving OptimizationQuantum Machine LearningQuantum Machine Learning ResearchQuantum machine learningSupervised Fine-TuningTraining and deploying machine learning models at scale
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