Data Pipelines

LLM App

Build real-time AI-powered data pipelines with Python.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

LLM App is a Python library that simplifies the creation of real-time AI-driven data pipelines, enabling developers to integrate complex machine learning models into their applications with minimal effort and code.

LLM App (by Pathway) provides a Python framework for building real-time AI-powered data pipelines, standing out by combining live data streaming with LLM capabilities for applications that need continuously updated AI responses.

When it fits — and when it doesn’t

A good fit for

  • Developers building real-time AI applications who need a simple and flexible library

  • Data science teams looking to integrate machine learning models into their data pipelines quickly

Look elsewhere if

  • Projects that only need batch LLM inference without live data integration

  • Teams looking for a no-code LLM workflow builder

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 other languages and frameworks

    Primary support is for Python, limited official support for other ecosystems

  2. 02

    Performance bottlenecks in real-time data processing

    High CPU usage reported during peak loads with complex models

What it does well

  • Simplifies real-time data processing with AI models

  • Minimal code required for integration

  • Flexible and scalable architecture

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 LLM App

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

Open the setup guide →
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