Use Case
Machine Learning & Model Serving
Training, tuning, and serving machine-learning models.
42 providers
108 APIs
32 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.
42 API providers on the APIs.io network offer machine learning & model serving. The highest-rated are Oracle Cloud Infrastructure, Airbyte, Azure Kubernetes Service, Amazon S3, Amazon EFS.
Providers
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 5 Complete, well-documented, and agent-ready
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 ...Azure Kubernetes ServiceAzure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading the...Amazon S3Amazon Simple Storage Service (S3) is an object storage service offering industry-leading scalability, data...Amazon EFSAmazon Elastic File System (EFS) provides a simple, serverless, set-and-forget elastic file system for use ...
Strong 10 Solid coverage with minor gaps
Amazon Glue DataBrewAWS Glue DataBrew is a visual data preparation tool that makes it easy for data analysts and data scientist...Azure DatabricksAzure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a c...SnapLogicSnapLogic provides an Agentic Integration and Applied AI Platform that securely connects applications, data...Amazon ECSAmazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it eas...Amazon EMRAmazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interacti...Amazon EC2Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud, allowing you to launch...Amazon IoT GreengrassAWS IoT Greengrass extends AWS compute, messaging, data management, sync, and ML inference capabilities to ...DatabricksCollection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations.AWS Step FunctionsAWS Step Functions is a serverless orchestration service that lets you coordinate distributed applications ...Amazon AppFlowAmazon AppFlow is a fully managed integration service that enables you to securely transfer data between Sa...
Developing 8 Usable, with meaningful gaps to close
Azure Machine LearningAzure Machine Learning is an enterprise-grade cloud service for building, training, deploying, and managing...PokéAPIPokéAPI (pokeapi.co) is a free, open-source RESTful and GraphQL API serving comprehensive Pokémon data — in...Pure StoragePure Storage is an American publicly traded technology company specializing in all-flash data storage hardw...Rigetti ComputingRigetti Computing (Nasdaq, RGTI) is a Berkeley, California-based quantum computing company building superco...Apache AirflowApache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows, deve...ArgoArgo is a collection of open-source Kubernetes-native tools for workflows, events, CI/CD, and progressive d...Argo WorkflowsArgo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kuber...Surge AISurge AI is a human-data company that provides large-scale, expert-quality labeled data for training and ev...
Thin 14 Limited public surface area
Apache HBaseApache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigt...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...SAS InstituteSAS Institute is a global leader in analytics, AI, and data management software. SAS Viya, its cloud-native...Apache OozieApache Oozie is a workflow scheduler system for managing Apache Hadoop jobs. It enables users to define wor...Conductor OSSConductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration pla...Apache DolphinSchedulerApache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the ...Apache GiraphApache Giraph is an iterative graph processing system built for high scalability on Apache Hadoop. It is mo...XanaduXanadu is a Canadian photonic quantum computing company building room-temperature, fault-tolerant, scalable...Apache FlinkApache Flink is a framework and distributed processing engine for stateful computations over unbounded and ...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 MahoutApache Mahout is an open-source framework for building scalable machine learning applications. The project ...Apache MXNetApache MXNet is a retired deep learning framework (now in the Apache Attic) designed for both efficiency an...
Emerging 4 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...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...
Minimal 1 Almost no public developer surface
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/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 TrainingMLOps AutomationMLOps and Production MLMachine LearningMachine Learning Data LabelingMachine 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 learningSupervised Fine-TuningTraining and deploying machine learning models at scale
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