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Distributed Computing

Score 15.3 / 100 19 providers 3 APIs Search apis.io →

Providers using this tag (18)

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

Developing 2 Usable, with meaningful gaps to close
ExpansoCompanyEdge ComputingCompute Orchestration1 API49.9CoiledCompanyArtificial IntelligenceCloud ComputingData Science1 API44.8
Thin 5 Limited public surface area
Apache StormEvent ProcessingReal-TimeStream Processing8 APIs32.6Apache SparkAnalyticsBig DataMachine Learning6 APIs32.3io.netArtificial IntelligenceGPUDecentralized ComputeDePIN8 APIs30.5IncredibuildCompanyDevOpsBuild AccelerationContinuous Integration1 API30.4Apache HadoopBig DataData ProcessingHDFS1 API29.3
Emerging 9 Early or largely undocumented
HazelcastData CachingIn-Memory ComputingReal-Time1 API23.2RayMachine LearningAI InfrastructurePython1 API25.0GradientCompanyWeb3Artificial IntelligenceMachine Learning1 API24.4Apache MahoutMachine LearningPythonQuantum Computing2 APIs24.0EventualCompanyDataData EngineArtificial Intelligence22.9Apache FlinkBig DataReal-Time AnalyticsStream Processing1 API22.2Apache SystemDSAutoMLData ScienceMachine Learning1 API22.1AnyscaleArtificial IntelligenceRayML Platform10 APIs22.0Apache PySparkBig DataData ProcessingMachine Learning5 APIs18.1
Minimal 2 Almost no public developer surface
Theta EdgeCloudGPU ComputeAI ComputeInference7.7Apache SparkAnalyticsBig DataData Processing2.1

APIs with this tag (3)

Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →

Thin 1 Limited public surface area
IO Cloud Container-as-a-Service APIContainer-as-a-Service REST API for deploying GPU-backed containers across io.net's decentralized network. ...30.5
Emerging 2 Early or largely undocumented
Apache Mahout SamsaraMahout Samsara is a distributed linear algebra DSL in Scala for building machine learning algorithms on Apa...24.0Apache SystemDS Python APIThe SystemDS Python API (systemds) provides a Python interface for building end-to-end ML pipelines. It inc...22.1

Score breakdown

Frequency
36.6
log-scaled weighted occurrences
Breadth
0.4
spread across providers
Quality lift
25.6
mean composite of providers using it
Cohesion
5.9
strength of nearest seed neighbor

Related tags

Data Processing 5 co-occurrences Big Data 6 co-occurrences Cluster 6 co-occurrences Python 6 co-occurrences Inference 5 co-occurrences Machine Learning 7 co-occurrences Open Source 7 co-occurrences Artificial Intelligence 6 co-occurrences

Where this tag comes from

Provider tag19
Api tag3

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