Microsoft Recommenders

Open source

Open-source toolkit with examples and best practices for building recommender systems.

by Microsoft ↗Official site ↗Source code ↗

Pricing: free
Free tier: true
License: open-source
Open source: Yes

Editorial review

Microsoft Recommenders has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://recommenders-team.github.io/recommenders/intro.htmlVerified
Tags(open-source;cloud-native): recommendation systems, deep learning, data science, jupyter notebooks, machine learningVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): self-hostedVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerification pending
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): freeVerification pending
Source repository(HTTPS URL): https://github.com/microsoft/recommendersVerified
SPDX license IDs(Apache-2.0;MIT): MITVerified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Jupyter notebook best practices for recommendation systems, classical and deep learning recommendation algorithms (ALS, xDeepFM), offline evaluation metrics, hyperparameter tuning and model selection, operationalizing models in a production environment on AzureVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Researchers, developers, and enthusiasts prototyping, evaluating, and productionizing recommendation systems in Jupyter notebooksVerification pending
Company-size fit(individual;SMB;mid-market;enterprise): individual, SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): prototyping recommendation systems, recommender model experimentation and evaluation, productionizing recommender modelsVerification pending
Skill level(beginner;intermediate;advanced;specialist): advancedVerified

Lifecycle · Versioning

Current version(1.12.3): 1.2.1Verified
Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): foundationVerified

User reviews

Review policy

No published reviews yet.