Domain Intelligence
58

TensorFlow

Official website for TensorFlow, Google's open-source machine learning framework.

Medium ProfileSoftware & TechnologyMachine Learning & AIGOOGLEst. 2015

Overview

TensorFlow is an open-source software library for machine learning and artificial intelligence developed by Google Brain. Originally released in 2015, it has become one of the most widely adopted frameworks for building and deploying ML models across various domains, including computer vision, natural language processing, and reinforcement learning. The framework supports multiple programming languages, primarily Python, and offers a flexible ecosystem of tools, libraries, and community resources. TensorFlow's architecture allows computation to be expressed as dataflow graphs, enabling efficient execution on CPUs, GPUs, and TPUs. It includes high-level APIs like Keras for rapid prototyping, as well as lower-level interfaces for advanced research. The website tensorflow.org serves as the central hub for documentation, tutorials, model repositories (TF Hub), and community forums. It also provides access to TensorFlow Lite for mobile and embedded devices, TensorFlow.js for browser-based ML, and TensorFlow Extended (TFX) for production pipelines. The platform is used by organizations ranging from startups to Fortune 500 companies, and it powers numerous Google products such as Search, Gmail, and Photos. TensorFlow's open-source nature has fostered a vast community of contributors, leading to continuous improvements and extensions. Its influence extends beyond academia into industry, where it is employed for predictive analytics, recommendation systems, and autonomous systems. The domain tensorflow.org, registered in 2015 and managed via Google's DNS infrastructure, consistently ranks among the top machine learning resources globally. With a Traffic Rank of #10891, it reflects sustained high interest and usage in the ML community. The site is updated frequently with new releases and content, maintaining its position as a definitive reference for ML practitioners.

Company Profile

TensorFlow is an end-to-end open-source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and community resources that enable researchers and developers to build and deploy ML-powered applications easily. Initially developed by the Google Brain team, TensorFlow has grown to support a wide range of use cases from research experiments to large-scale production systems. The framework is known for its flexibility, scalability, and strong support for production deployment across diverse hardware platforms.

TensorFlow CoreTensorFlow LiteTensorFlow.jsTensorFlow Extended (TFX)TensorFlow HubTensorFlow DatasetsTensorFlow ProbabilityTensorFlow Federated
Market PositionLeading open-source machine learning framework, competing directly with PyTorch, and widely adopted in both research and industry. It is considered one of the most mature ML platforms with extensive deployment capabilities.
RevenueNot publicly disclosed; part of Google's broader AI and cloud services offerings.
EmployeesPart of Google LLC, which employs over 180,000 people globally; the TensorFlow team is a dedicated group within Google.

Typical Use Cases

  • Developing and training deep learning models for image recognition, natural language processing, and time series forecasting.
  • Deploying machine learning models to production using TensorFlow Serving for scalable inference.
  • Creating on-device AI applications with TensorFlow Lite for Android and iOS.
  • Building interactive machine learning demos and web applications with TensorFlow.js.
  • Implementing end-to-end ML pipelines for data ingestion, training, validation, and deployment using TensorFlow Extended (TFX).

Infrastructure

RolePrimary website for TensorFlow documentation, downloads, and community resources
IP OwnerGoogle LLC
Global ScaleGlobal, highly distributed via Google Cloud infrastructure and CDN
DNS Records
A Records
216.239.32.27
NS Records
ns-cloud-c4.googledomains.com
ns-cloud-c3.googledomains.com
ns-cloud-c2.googledomains.com
MX Records
10 alt4.aspmx.l.google.com
10 alt3.aspmx.l.google.com
5 alt1.aspmx.l.google.com

Related Domains

Official Website
tensorflow.org
Same Owner
google.comdevelopers.google.comcolab.research.google.com
Similar Services
pytorch.orgkeras.iomxnet.apache.orgpaddlepaddle.org

TensorFlow is a project under Google LLC. PyTorch and Keras are direct competitors, though Keras is now tightly integrated with TensorFlow as its high-level API.

Identity

OwnerGoogle LLC
Typecorporate
Founded2015
HQMountain View, California, United States
TickerGOOGL

Notability

58
Medium Profile

TensorFlow is one of the most influential open-source machine learning frameworks globally, with a large community and adoption by major tech companies. The domain ranks #10891 globally, indicating strong traffic and recognition among developers and researchers. Its impact on AI research and industry applications is significant, and it is frequently referenced in academic papers and technical documentation.

Known since2015
Global rank#10891

Risk & Trust

Risk: lowTrust: high

The domain is owned by Google LLC, a reputable and well-known technology company. It has a long history (10 years) and is associated with a legitimate open-source project. The infrastructure is hosted on Google's own servers, and there are no reports of malware or phishing. The high trust level is further supported by its use of a trusted registrar (MarkMonitor) and consistent DNS records.

Google Safe Browsing
No threats detected

WHOIS

RegisteredAug 25, 2015
Age10 years
RegistrarMarkMonitor Inc.
ExpiresAug 25, 2026

AI Confidence

0.95%
ai_knowledgewhoisdns

This analysis is based on the provided technical data and the AI's pre-existing knowledge of the domain. Direct automated access to the website was not available, so some details (e.g., content updates) are inferred from external knowledge.

This report is generated from AI inference and WHOIS/DNS data. Page content was not directly accessed. Information may be incomplete or outdated.