TensorFlow Recommenders

Open source

TensorFlow library for building, training, and evaluating recommender system models.

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

Editorial review

TensorFlow 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://www.tensorflow.org/recommendersVerified
Tags(open-source;cloud-native): recommender systems, tensorflow, keras, machine learning, pythonVerification 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/tensorflow/recommendersVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): building recommender system models with TensorFlow, full workflow from data preparation to deployment, factorized retrieval and ranking tasks on Keras, FactorizedTopK evaluation metricsVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): ML engineers building recommender models with TensorFlow and Keras across data preparation, training, evaluation, and deploymentVerification pending
Company-size fit(individual;SMB;mid-market;enterprise): individual, SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): recommendation model development, retrieval and ranking models, recommender tutorials and prototypingVerification pending
Skill level(beginner;intermediate;advanced;specialist): advancedVerified

Lifecycle · Versioning

Current version(1.12.3): 0.7.7Verified
Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

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

User reviews

Review policy

No published reviews yet.