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microsoft/SynapseML

SynapseML

Simple and Distributed Machine Learning

View on GitHub↗Upstream microsoft/SynapseML↗

Builder

Microsoft

Microsoft

microsoft • big-tech

Stars

5,228

Using upstream star count

Forks

860

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jun 5, 2017

Project creation date

README Summary

SynapseML (previously known as MMLSpark), is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. SynapseML provides simple, composable, and distributed APIs for a wide variety of different machine learning tasks such as text analytics, vision, anomaly detection, and many others. SynapseML is built on the [Apache Spark distributed computing framework](https://spark.apache.org/) and shares the same API as the [SparkML/MLLib library](https://sp

Community Evaluation

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AI Dev Skills

Unmapped

Apache Spark IntegrationAutoMLCognitive Services IntegrationComputer VisionDeep Learning PipelinesDistributed Machine LearningFeature EngineeringHyperparameter TuningMLOps Pipeline DevelopmentModel ServingNatural Language ProcessingTransfer Learning

Tags

Apache Spark IntegrationAutoMLCognitive Services IntegrationComputer VisionDeep Learning PipelinesDistributed Machine LearningFeature EngineeringHyperparameter TuningMLOps Pipeline DevelopmentModel ServingNatural Language ProcessingTransfer LearningData ScienceDeep LearningDockerForkedJupyterMachine LearningModel OptimizationONNXOpen SourcePythonResearch / PapersSecuritySpark

Taxonomy

AI Trends

Compound AI SystemsMLOpsDistributed AIAutoMLMulti-language AI Development

category

Learning ResourcesInference & ServingComputer VisionMLOps & InfrastructureDev Tools & AutomationSecurity & SafetyData Science & Analytics

Deployment Context

CloudOn-premiseDistributed ClustersAzure CloudDatabricks

Industries

Enterprise SoftwareData AnalyticsCloud ComputingFinancial ServicesHealthcare AnalyticsRetail Analytics

Modalities

TextImageTabularMultimodal

Skill Areas

Distributed Machine LearningApache Spark IntegrationDeep Learning PipelinesComputer VisionNatural Language ProcessingCognitive Services IntegrationMLOps Pipeline DevelopmentHyperparameter TuningFeature EngineeringModel ServingAutoMLTransfer Learning

tag

Computer VisionData ScienceDeep LearningDockerForkedJupyterMachine LearningModel OptimizationONNXOpen SourcePythonResearch / PapersSecuritySpark

Use Cases

Large-scale Image ClassificationText Analytics and Sentiment AnalysisAnomaly DetectionRecommendation SystemsAutomated Machine Learning PipelinesReal-time Model ScoringMulti-language ML DevelopmentCognitive Services IntegrationDistributed Hyperparameter Optimization

Recent Activity

Updated 2 months ago

7 Days

0

30 Days

0

90 Days

2

Updatd reaonsing_effort values and tests

Rana Singh • Mar 12, 2026

d0124f1

fix: OpenAI Prompt output for reasoning models (#2510)

Rana Singh • Mar 11, 2026

bd9d26e

Quality

production
Quality
high
Maturity
production

Categories

Learning ResourcesPrimaryInference & ServingMLOps & InfrastructureDev Tools & AutomationSecurity & SafetyData Science & AnalyticsComputer VisionEdge & Mobile AISearch & KnowledgeOther AI / ML

PM Skills

Scale & ReliabilityData & Evaluation

Languages

Scala100.0%

Timeline

Project created
Jun 5, 2017
Forked
Mar 13, 2026
Your last push
2 months ago
Upstream last push
25 days ago
Tracked since
Mar 12, 2026

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