Use Case
Machine Learning & Model Serving
Training, tuning, and serving machine-learning models.
51 providers
124 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 Azure Kubernetes Service, Oracle Cloud Infrastructure, Airbyte, Amazon S3, Amazon EC2.
Providers
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Azure Kubernetes ServiceAzure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading the...Oracle Cloud InfrastructureOracle Cloud Infrastructure (OCI) is Oracle's public cloud, exposed as a REST control plane of 159 service ...AirbyteAirbyte is an open-source data integration platform that enables businesses to easily and efficiently move ...
Strong 14 Solid coverage with minor gaps
Amazon S3Amazon Simple Storage Service (S3) is an object storage service offering industry-leading scalability, data...Amazon EC2Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud, allowing you to launch...Amazon LambdaAWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers,...Azure DatabricksAzure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a c...Amazon KinesisAmazon Kinesis makes it easy to collect, process, and analyze real-time streaming data so you can get timel...Amazon EFSAmazon Elastic File System (EFS) provides a simple, serverless, set-and-forget elastic file system for use ...Amazon Glue DataBrewAWS Glue DataBrew is a visual data preparation tool that makes it easy for data analysts and data scientist...DatabricksCollection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations.Amazon GlueAmazon Glue is a serverless data integration service that makes it simple to discover, prepare, move, and i...Rigetti ComputingRigetti Computing (Nasdaq, RGTI) is a Berkeley, California-based quantum computing company building superco...Amazon EMRAmazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interacti...Amazon Step FunctionsAmazon Step Functions is a serverless workflow orchestration service that lets you coordinate distributed a...Amazon ECSAmazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it eas...Amazon IoT GreengrassAWS IoT Greengrass extends AWS compute, messaging, data management, sync, and ML inference capabilities to ...
Developing 16 Usable, with meaningful gaps to close
Amazon Mechanical TurkAmazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and busi...AWS Step FunctionsAWS Step Functions is a serverless orchestration service that lets you coordinate distributed applications ...AWS RedshiftAmazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and co...Microsoft Azure CloudA comprehensive collection of Microsoft Azure cloud service APIs covering compute, storage, databases, AI, ...ArgoArgo is a collection of open-source Kubernetes-native tools for workflows, events, CI/CD, and progressive d...SnapLogicOur AI-powered, all-in-one generative integration platform unifies your data and streamlines workflows to t...Amazon AppFlowAmazon AppFlow is a fully managed integration service that enables you to securely transfer data between Sa...Pure StoragePure Storage is an American publicly traded technology company specializing in all-flash data storage hardw...Apache AirflowApache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows, deve...Azure Machine LearningAzure Machine Learning is an enterprise-grade cloud service for building, training, deploying, and managing...Argo WorkflowsArgo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kuber...PokéAPIPokéAPI (pokeapi.co) is a free, open-source RESTful and GraphQL API serving comprehensive Pokémon data — in...Apache AirflowApache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. Airf...SAS InstituteSAS Institute is a global leader in analytics, AI, and data management software. SAS Viya, its cloud-native...Amazon Web Services (AWS)Amazon Web Services is a comprehensive collection of cloud computing services and APIs provided by Amazon, ...Apache HBaseApache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigt...
Thin 13 Limited public surface area
Apache SparkApache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in ...Apache StormApache Storm is a free and open-source distributed real-time computation system that makes it easy to relia...Surge AISurge AI is a human-data company that provides large-scale, expert-quality labeled data for training and ev...Apache OozieApache Oozie is a workflow scheduler system for managing Apache Hadoop jobs. It enables users to define wor...Apache DolphinSchedulerApache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the ...Conductor OSSConductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration pla...Apache FlinkApache Flink is a framework and distributed processing engine for stateful computations over unbounded and ...XanaduXanadu is a Canadian photonic quantum computing company building room-temperature, fault-tolerant, scalable...Apache GiraphApache Giraph is an iterative graph processing system built for high scalability on Apache Hadoop. It is mo...Apache ArrowApache Arrow is a cross-language development platform for in-memory analytics developed by the Apache Softw...Apache BeamApache Beam is a unified, open-source programming model developed by the Apache Software Foundation for def...Apache MXNetApache MXNet is a retired deep learning framework (now in the Apache Attic) designed for both efficiency an...Apache MahoutApache Mahout is an open-source framework for building scalable machine learning applications. The project ...
Emerging 5 Early or largely undocumented
Apache TVMApache TVM is an open-source compiler framework for deep learning that provides performance portability acr...Apache SystemDSApache SystemDS is an open-source ML system for the end-to-end data science lifecycle from data integration...XanaduXanadu is a Toronto-based photonic quantum computing company building cloud-accessible continuous- variable...PasqalPasqal is a French neutral-atom quantum computing company headquartered in Palaiseau, France and co-founded...SonySony Group Corporation is a Japanese multinational spanning electronics, gaming, entertainment, image senso...
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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