Use Case

Machine Learning & Model Serving

Training, tuning, and serving machine-learning models.

48 providers 119 APIs 35 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.

48 API providers on the APIs.io network offer machine learning & model serving. The highest-rated are Oracle Cloud Infrastructure, Azure Kubernetes Service, Amazon S3, Airbyte, Azure Databricks.

Providers

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Exemplar 4 Complete, well-documented, and agent-ready
Strong 12 Solid coverage with minor gaps
Azure DatabricksAzure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a c...1 API63.4Amazon EC2Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud, allowing you to launch...1 API62.8Amazon LambdaAWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers,...1 API61.8Amazon GlueAmazon Glue is a serverless data integration service that makes it simple to discover, prepare, move, and i...1 API61.0Amazon Glue DataBrewAWS Glue DataBrew is a visual data preparation tool that makes it easy for data analysts and data scientist...1 API58.4Amazon ECSAmazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it eas...1 API57.8Amazon EFSAmazon Elastic File System (EFS) provides a simple, serverless, set-and-forget elastic file system for use ...1 API57.4DatabricksCollection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations.1 API56.7Rigetti ComputingRigetti Computing (Nasdaq, RGTI) is a Berkeley, California-based quantum computing company building superco...1 API55.5Amazon EMRAmazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interacti...1 API54.8Amazon IoT GreengrassAWS IoT Greengrass extends AWS compute, messaging, data management, sync, and ML inference capabilities to ...1 API54.5Pure StoragePure Storage is an American publicly traded technology company specializing in all-flash data storage hardw...3 APIs54.3
Developing 16 Usable, with meaningful gaps to close
Amazon Step FunctionsAmazon Step Functions is a serverless workflow orchestration service that lets you coordinate distributed a...2 APIs54.1Amazon Mechanical TurkAmazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and busi...1 API50.1AWS RedshiftAmazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and co...2 APIs49.5AWS Step FunctionsAWS Step Functions is a serverless orchestration service that lets you coordinate distributed applications ...2 APIs49.2ArgoArgo is a collection of open-source Kubernetes-native tools for workflows, events, CI/CD, and progressive d...3 APIs48.9Azure Machine LearningAzure Machine Learning is an enterprise-grade cloud service for building, training, deploying, and managing...2 APIs47.9SnapLogicOur AI-powered, all-in-one generative integration platform unifies your data and streamlines workflows to t...1 API47.0Amazon AppFlowAmazon AppFlow is a fully managed integration service that enables you to securely transfer data between Sa...3 APIs46.3Argo WorkflowsArgo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kuber...1 API46.3Apache AirflowApache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows, deve...1 API45.4PokéAPIPokéAPI (pokeapi.co) is a free, open-source RESTful and GraphQL API serving comprehensive Pokémon data — in...1 API44.8Amazon Web Services (AWS)Amazon Web Services is a comprehensive collection of cloud computing services and APIs provided by Amazon, ...12 APIs43.1Apache AirflowApache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. Airf...1 API43.1SAS InstituteSAS Institute is a global leader in analytics, AI, and data management software. SAS Viya, its cloud-native...1 API42.6Apache HBaseApache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigt...1 API41.8Apache SparkApache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in ...6 APIs39.5
Thin 12 Limited public surface area
Apache StormApache Storm is a free and open-source distributed real-time computation system that makes it easy to relia...9 APIs38.5Surge AISurge AI is a human-data company that provides large-scale, expert-quality labeled data for training and ev...1 API37.0Apache OozieApache Oozie is a workflow scheduler system for managing Apache Hadoop jobs. It enables users to define wor...1 API35.1Conductor OSSConductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration pla...1 API34.6Apache DolphinSchedulerApache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the ...1 API34.4XanaduXanadu is a Canadian photonic quantum computing company building room-temperature, fault-tolerant, scalable...14 APIs31.2Apache FlinkApache Flink is a framework and distributed processing engine for stateful computations over unbounded and ...1 API30.8Apache GiraphApache Giraph is an iterative graph processing system built for high scalability on Apache Hadoop. It is mo...1 API30.6Apache ArrowApache Arrow is a cross-language development platform for in-memory analytics developed by the Apache Softw...3 APIs29.6Apache BeamApache Beam is a unified, open-source programming model developed by the Apache Software Foundation for def...2 APIs29.1Apache MXNetApache MXNet is a retired deep learning framework (now in the Apache Attic) designed for both efficiency an...1 API28.7Apache MahoutApache Mahout is an open-source framework for building scalable machine learning applications. The project ...2 APIs28.2
Emerging 4 Early or largely undocumented

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 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 learningSupervised Fine-TuningTraining and deploying machine learning models at scale

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  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
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