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Open Source

TensorFlow

An Open Source Machine Learning Framework for Everyone

Our verdict

Not reviewed yet

We have not reviewed TensorFlow yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About TensorFlow

Open source machine learning framework written in C++ with Python bindings for building and training neural networks. Provides computational graph execution, automatic differentiation, and deployment across CPUs, GPUs, and TPUs. Widely used for production ML workloads at scale.

Best for

Teams building production ML systems that need cross-platform deployment and performance optimization

Use cases

  • Training deep learning models for computer vision and NLP tasks
  • Deploying trained models to mobile, web, and edge devices
  • Building custom ML pipelines with low-level tensor operations

Notes

195,356 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

  • Mature ecosystem with extensive documentation and community support
  • Strong performance optimization for production deployments
  • Multi-platform support including mobile and embedded systems

Cons

  • Steeper learning curve compared to higher-level frameworks like PyTorch
  • Computational graphs require more boilerplate code for simple experiments
  • Debugging can be difficult due to deferred execution model

Key facts

What we have checked

Latest prerelease version
2.22.0-rc0 (released 24 Sept 2026)
Checked GitHub
GitHub stars
200,323
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How TensorFlow is growing

GitHub stars

195,356 to 200,323

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to TensorFlow

RecordTypeHow we knowChecked
Apache MXNetAlternative to thisOpen sourceNamed in the listingNot dated
CaffeAlternative to thisOpen sourceNamed in the listingNot dated
CandleAlternative to thisOpen sourceNamed in the listingNot dated
JaxAlternative to thisOpen sourceNamed in the listingNot dated
MegEngineAlternative to thisOpen sourceNamed in the listingNot dated
MindSporeAlternative to thisOpen sourceNamed in the listingNot dated
NCNNAlternative to thisOpen sourceNamed in the listingNot dated
OneflowAlternative to thisOpen sourceNamed in the listingNot dated
PaddlePaddleAlternative to thisOpen sourceNamed in the listingNot dated
PyTorchAlternative to thisOpen sourceNamed in the listingNot dated
VectorFlowAlternative to thisOpen sourceNamed in the listingNot dated

Compare

Compare TensorFlow side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest prerelease version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 2.22.0-rc0

    Source: GitHub

  2. Released 2.21.0

    Source: GitHub

  3. Released 2.21.0-rc1

    Source: GitHub

  4. Released 2.21.0-rc0

    Source: GitHub

  5. Released 2.20.0

    Source: GitHub

  6. Released 2.19.1

    Source: GitHub

  7. Released 2.20.0-rc0

    Source: GitHub

  8. Released 2.19.0

    Source: GitHub

  9. Released 2.18.1

    Source: GitHub

  10. Released 2.19.0-rc0

    Source: GitHub

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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★ 100,318
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