Model Hubs & Serving

KitOps

Eases model handoffs between data scientists and DevOps teams.

Status
Generally available
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0
Visit KitOps Compare with alternatives

What it is

KitOps is an open-source MLOps project that streamlines the process of handing off machine learning models from data scientists to DevOps for deployment, ensuring smooth integration and maintenance.

KitOps stands out by offering an open-source solution specifically designed to ease the transition between data science and DevOps, focusing on automation and integration with existing CI/CD pipelines.

When it fits — and when it doesn’t

A good fit for

  • Teams that need a streamlined process for handing off machine learning models from development to production

  • Organizations looking to improve the efficiency of their MLOps workflows without relying on proprietary tools

Look elsewhere if

  • Projects requiring real-time model updates or deployments (KitOps focuses on batch processing and deployment)

  • Teams that prefer a fully managed cloud service for all aspects of MLOps

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with non-Python ML frameworks

    Primary support is for Python-based frameworks like TensorFlow and PyTorch, other languages have minimal or no support

  2. 02

    Small community and limited third-party plugins

    GitHub repository has low activity compared to established MLOps tools like MLflow or Kubeflow

What it does well

  • Streamlined model deployment process

  • Integration with CI/CD pipelines

  • Automated testing and validation of models

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up KitOps

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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KitOps — tracked on AI Navigator

Markdown

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