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AI · head to head

Sourcegraph Cody vs TensorFlow

Sourcegraph Cody logo

Sourcegraph Cody

AI

Enterprise AI coding assistant with whole-codebase context

From
$59/month
Free plan
No
TensorFlow logo

TensorFlow

Machine Learning

Open-source machine learning framework by Google

From
Free
Free plan
Yes

The short version

  • Only TensorFlow has a free tier, so it costs nothing to try first.
  • Each has a real cost: Sourcegraph Cody no longer available to individual developers or small teams after free and Pro tiers were discontinued in mid-2025; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • They diverge on capability: Sourcegraph Cody covers Multi-repository context, TensorFlow covers Deep learning framework.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Sourcegraph Cody and TensorFlow actually diverge.

Attributes where Sourcegraph Cody and TensorFlow differ
AttributeSourcegraph CodyTensorFlow
Starting price$59/monthFree
Pricing modelquoteUnknown
Free tierNoYes
Platformsweb, windows, mac, linuxPython, JavaScript, C++, Java, Go, Rust
CategoryAIMachine Learning
Founded20131998

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Sourcegraph Cody

  • Multi-repository context
  • Large context window
  • Context filters
  • Model flexibility
  • IDE integration

Only in TensorFlow

  • Deep learning framework
  • Neural network training
  • Model deployment
  • TensorBoard visualization
  • Distributed training
  • Keras
  • TensorFlow Lite
  • TensorFlow.js

What people use each for

The jobs each tool is most often brought in to do.

Sourcegraph Cody

  • Cross-repository code understanding for large engineering orgsnot TensorFlow
  • AI-assisted code review and refactoring at enterprise scalenot TensorFlow
  • Enforcing data-boundary controls when using third-party LLMsnot TensorFlow
  • Codebase-aware chat and autocomplete for developersnot TensorFlow

TensorFlow

  • Machine learningnot Sourcegraph Cody
  • Data analysisnot Sourcegraph Cody
  • Model trainingnot Sourcegraph Cody
  • Predictive analyticsnot Sourcegraph Cody

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Sourcegraph Cody

  • No longer available to individual developers or small teams after free and Pro tiers were discontinued in mid-2025
  • Priced substantially higher than many competing AI coding assistants, with Enterprise plans typically requiring annual contracts
  • Sourcegraph has shifted its individual-developer focus to a separate product, Amp, creating uncertainty about Cody's long-term product priority
  • Requires integration with Sourcegraph's broader code intelligence platform rather than working as a lightweight standalone extension

TensorFlow

  • PyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • Broader ecosystem is more complex to navigate for new users compared to PyTorch's more Pythonic API
  • Performance advantage over PyTorch exists mainly at very large scale with TPUs, not for most workloads

Pricing, plan by plan

Sourcegraph Cody

$59/month
  • Enterprise$59/month
    • Whole-codebase AI context
    • Context filters for sensitive code
    • Multi-repository analysis

TensorFlow

Free

No published plan breakdown. See the TensorFlow review.

Which should you pick?

Choose Sourcegraph Cody if

  • You need multi-repository context.
  • You work on web, windows, mac, linux.
  • You also want large context window.

Choose TensorFlow if

  • You need deep learning framework.
  • You want to start without paying.
  • You work on Python, JavaScript, C++, Java, Go, Rust.
  • You also want neural network training.

Questions people ask

Is Sourcegraph Cody or TensorFlow better?
Neither clearly leads. Sourcegraph Cody starts at $59/month and TensorFlow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sourcegraph Cody or TensorFlow?
TensorFlow has a free tier; the other does not. Paid plans start at $59/month for Sourcegraph Cody and Free for TensorFlow.
Does Sourcegraph Cody or TensorFlow run on more platforms?
Sourcegraph Cody runs on web, windows, mac, linux. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
Can I use TensorFlow for free?
Yes. TensorFlow has a free tier, so you can try it without paying. Sourcegraph Cody starts at $59/month.
What is Sourcegraph Cody best used for?
Sourcegraph Cody is most often used for cross-repository code understanding for large engineering orgs, ai-assisted code review and refactoring at enterprise scale, enforcing data-boundary controls when using third-party llms, codebase-aware chat and autocomplete for developers. Of those, cross-repository code understanding for large engineering orgs and ai-assisted code review and refactoring at enterprise scale are not what TensorFlow is typically brought in for.
What can Sourcegraph Cody do that TensorFlow cannot?
Sourcegraph Cody covers Multi-repository context, Large context window, Context filters, Model flexibility. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization.

Answered from the vendors’ own pages

Sourcegraph Cody: Is Sourcegraph Cody still available to individual developers?

No, as of mid-2025 Cody Free and Pro plans were discontinued; Cody is now sold only as part of Sourcegraph's Enterprise plan, which requires an annual contract.

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TensorFlow: Can I run TensorFlow in a web browser?

Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.

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Sourcegraph Cody: How much does Sourcegraph Enterprise cost?

Enterprise plans start around $16,000 and scale with team size and seat count, including bundled AI credits; exact pricing requires a sales quote.

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TensorFlow: Does TensorFlow support deployment on mobile devices?

Yes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.

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Sourcegraph Cody: How does the AI credit system work on Enterprise plans?

Each plan includes a pooled allocation of AI credits shared across the organization; credits do not expire and roll over at renewal, with volume credit add-ons available.

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TensorFlow: What hardware accelerators does TensorFlow support?

TensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.

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Sourcegraph Cody: What happens if my organization exceeds its credit allocation?

Sourcegraph's pricing page addresses overage and offers additional volume credit buckets for teams that need more than their committed allocation.

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TensorFlow: Is TensorFlow free and open-source?

Yes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.

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Sourcegraph Cody: Is a free trial available for Sourcegraph Enterprise?

Sourcegraph's pricing page lists free trial availability as one of its published FAQ topics for prospective Enterprise customers.

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