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Head to head · 2026

Clear.ml vs TensorFlow

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Clear.ml

Open-source MLOps platform tracking experiments, managing data, and orchestrating pipelines across the ML lifecycle

4.3$15/mo

Visit Clear.ml (opens Clear.ml in a new tab)

TensorFlow

Google's end-to-end machine learning platform, from tf.keras through to production MLOps

4.3Free

Visit TensorFlow (opens TensorFlow in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: TensorFlow does not list a price

  • Free plan

    Tie

    Both have one

  • Higher rating

    Tie

    4.3 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onClear.mlTensorFlow
Our rating4.34.3
Starts at$15/moFree
Free planYesYes
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFrom $15/moFree
Key features
  • Automatic experiment tracking (code, hyperparameters, datasets, artifacts)
  • Data versioning on top of existing object storage
  • Pipeline orchestration for MLOps and LLMOps workflows
  • Model-serving infrastructure for production deployment
  • GPU resource management via an infrastructure control plane
  • tf.keras high-level model API
  • tf.data input pipelines and TensorBoard visualisation
  • LiteRT for mobile and edge deployment
  • TensorFlow.js for browser execution
  • TFX for production pipelines and MLOps
Pros
  • Free, self-hostable open-source core avoids vendor lock-in entirely
  • Five-module coverage spans the full ML lifecycle instead of experiment tracking
  • Near decade of operating history and enterprise customers (NVIDIA, Samsung, Bosch) back its stability
  • One model deploys to server, phone, browser or embedded device
  • TFX covers production pipelines, which is most of real ML work
  • Free and open source with large pre-trained model collections
Cons
  • Five-module breadth means a learning curve to use the platform to its full extent
  • Self-hosting the open-source version requires infrastructure and DevOps effort a hosted competitor wouldn't
  • Enterprise and Scale tier pricing isn't published, requiring a sales conversation
  • PyTorch now leads the research community, so new work lands there first
  • The API carries considerable accumulated history
  • Breadth makes the learning surface large for a beginner
CompanyClearML, founded 2016Google

Prices come from each vendor's pricing page, last checked 20260814. Check the vendor before you buy.

FAQ

Questions people ask

Is Clear.ml better than TensorFlow?

In our reviews Clear.ml scores 4.3 and TensorFlow scores 4.3. The better pick depends on the job. Clear.ml: Open-source MLOps platform tracking experiments, managing data, and orchestrating pipelines across the ML lifecycle. TensorFlow: Google's end-to-end machine learning platform, from tf.keras through to production MLOps.

Which is cheaper, Clear.ml or TensorFlow?

Clear.ml: from $15/mo. TensorFlow: free.

Do Clear.ml and TensorFlow have free plans?

Yes, both have a free plan.

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