Use Case

Machine Learning & Model Serving

Training, tuning, and serving machine-learning models.

51 providers 1038 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 Amazon S3, Airbyte, Databricks, Amazon EC2, Amazon Lambda.

Providers

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

Exemplar 11 Complete, well-documented, and agent-ready
Amazon S3 Amazon Simple Storage Service (S3) is an object storage service offering industry-leading scalability, data... 17 APIs 78.1 Airbyte Airbyte is an open-source data integration platform that enables businesses to easily and efficiently move ... 44 APIs 75.7 Databricks Collection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations. 57 APIs 72.2 Amazon EC2 Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud, allowing you to launch... 8 APIs 72.0 Amazon Lambda AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers,... 2 APIs 70.3 Amazon EFS Amazon Elastic File System (EFS) provides a simple, serverless, set-and-forget elastic file system for use ... 1 API 68.8 Azure Kubernetes Service Azure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by offloading the... 7 APIs 67.6 Amazon Kinesis Amazon Kinesis makes it easy to collect, process, and analyze real-time streaming data so you can get timel... 11 APIs 67.1 Rigetti Computing Rigetti Computing (Nasdaq, RGTI) is a Berkeley, California-based quantum computing company building superco... 11 APIs 67.0 Amazon ECS Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it eas... 13 APIs 66.2 Amazon EMR Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interacti... 1 API 66.0
Strong 11 Solid coverage with minor gaps
Amazon IoT Greengrass AWS IoT Greengrass extends AWS compute, messaging, data management, sync, and ML inference capabilities to ... 2 APIs 65.5 Amazon Step Functions Amazon Step Functions is a serverless workflow orchestration service that lets you coordinate distributed a... 37 APIs 64.5 Amazon Glue DataBrew AWS Glue DataBrew is a visual data preparation tool that makes it easy for data analysts and data scientist... 10 APIs 64.3 Amazon Mechanical Turk Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and busi... 39 APIs 63.7 AWS Redshift Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and co... 130 APIs 63.5 AWS Step Functions AWS Step Functions is a serverless orchestration service that lets you coordinate distributed applications ... 26 APIs 62.3 Apache Airflow Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows, deve... 19 APIs 62.0 Amazon Glue Amazon Glue is a serverless data integration service that makes it simple to discover, prepare, move, and i... 202 APIs 61.7 Oracle Cloud Infrastructure Collection of Oracle Cloud Infrastructure (OCI) REST APIs for managing cloud resources and services. 25 APIs 61.0 SnapLogic Our AI-powered, all-in-one generative integration platform unifies your data and streamlines workflows to t... 7 APIs 60.8 Azure Databricks Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a c... 39 APIs 56.5
Developing 15 Usable, with meaningful gaps to close
Microsoft Azure Cloud A comprehensive collection of Microsoft Azure cloud service APIs covering compute, storage, databases, AI, ... 13 APIs 55.9 Apache Oozie Apache Oozie is a workflow scheduler system for managing Apache Hadoop jobs. It enables users to define wor... 4 APIs 53.6 SAS Institute SAS Institute is a global leader in analytics, AI, and data management software. SAS Viya, its cloud-native... 10 APIs 52.4 Argo Workflows Argo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kuber... 11 APIs 51.6 Apache Airflow Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. Airf... 26 APIs 51.5 Amazon Web Services (AWS) Amazon Web Services is a comprehensive collection of cloud computing services and APIs provided by Amazon, ... 5 APIs 50.1 Argo Argo is a collection of open-source Kubernetes-native tools for workflows, events, CI/CD, and progressive d... 14 APIs 49.8 Azure Machine Learning Azure Machine Learning is an enterprise-grade cloud service for building, training, deploying, and managing... 2 APIs 49.6 Pure Storage Pure Storage is an American publicly traded technology company specializing in all-flash data storage hardw... 130 APIs 49.6 Amazon AppFlow Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between Sa... 3 APIs 48.7 Apache Giraph Apache Giraph is an iterative graph processing system built for high scalability on Apache Hadoop. It is mo... 3 APIs 47.4 Apache HBase Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigt... 5 APIs 46.6 Apache Flink Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and ... 10 APIs 45.6 PokéAPI PokéAPI (pokeapi.co) is a free, open-source RESTful and GraphQL API serving comprehensive Pokémon data — in... 12 APIs 43.9 Apache DolphinScheduler Apache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the ... 1 API 42.3
Thin 7 Limited public surface area
Surge AI Surge AI is a human-data company that provides large-scale, expert-quality labeled data for training and ev... 14 APIs 40.9 Apache Storm Apache Storm is a free and open-source distributed real-time computation system that makes it easy to relia... 9 APIs 39.5 Apache Spark Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in ... 6 APIs 38.7 Conductor OSS Conductor OSS is the Netflix-founded, Orkes-stewarded open source workflow and agentic AI orchestration pla... 5 APIs 32.9 Apache Arrow Apache Arrow is a cross-language development platform for in-memory analytics developed by the Apache Softw... 3 APIs 31.6 Apache Beam Apache Beam is a unified, open-source programming model developed by the Apache Software Foundation for def... 2 APIs 31.0 Apache TVM Apache TVM is an open-source compiler framework for deep learning that provides performance portability acr... 2 APIs 29.1
Emerging 7 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... 1 API 27.8 Pasqal Pasqal is a French neutral-atom quantum computing company headquartered in Palaiseau, France and co-founded... 8 APIs 27.4 Xanadu Xanadu is a Toronto-based photonic quantum computing company building cloud-accessible continuous- variable... 10 APIs 24.6 Apache Mahout Apache Mahout is an open-source framework for building scalable machine learning applications. The project ... 2 APIs 22.9 Apache MXNet Apache MXNet is a retired deep learning framework (now in the Apache Attic) designed for both efficiency an... 1 API 22.5 Xanadu Xanadu is a Canadian photonic quantum computing company building room-temperature, fault-tolerant, scalable... 14 APIs 21.7 Sony Sony Group Corporation is a Japanese multinational spanning electronics, gaming, entertainment, image senso... 4 APIs 21.1

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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