Self-hosted

Build Apps with Ollama (Local)

Run AI models locally on your own hardware with complete privacy. No data leaves your machine.

Self-hostedDepends on model (typically 4K-128K tokens) contextCompletely free — runs on your own hardware
Try Ollama (Local)

medium Speed

Response time

good Quality

Code output

8 Frameworks

Supported

How Ollama (Local) Writes Code

Code quality varies by the local model you choose (Llama, Mistral, CodeLlama, etc.). Generally produces functional code suitable for prototyping and learning, with quality improving as hardware capabilities increase.

Code Quality Details

Context windowDepends on model (typically 4K-128K tokens)
PricingCompletely free — runs on your own hardware

Sample Output from Ollama (Local)

Prompt: "Build a simple tip calculator"

import { useState } from "react"

function TipCalculator() {
  const [bill, setBill] = useState("")
  const [tipPct, setTipPct] = useState(15)

  const billNum = parseFloat(bill) || 0
  const tip = billNum * tipPct / 100
  const total = billNum + tip

  return (
    <div className="max-w-xs mx-auto p-6 space-y-4">
      <input type="number" placeholder="Bill amount"
        value={bill} onChange={e => setBill(e.target.value)}
        className="w-full border rounded px-3 py-2 text-lg" />
      <div className="flex gap-2">
        {[10, 15, 20, 25].map(pct => (
          <button key={pct}
            onClick={() => setTipPct(pct)}
            className={`flex-1 py-2 rounded ${
              tipPct === pct ? "bg-blue-600 text-white" : "bg-gray-100"
            }`}>
            {pct}%
          </button>
        ))}
      </div>
      <div className="bg-gray-50 rounded-lg p-4 space-y-2">
        <div className="flex justify-between">
          <span>Tip</span>
          <span>${tip.toFixed(2)}</span>
        </div>
        <div className="flex justify-between font-bold text-lg">
          <span>Total</span>
          <span>${total.toFixed(2)}</span>
        </div>
      </div>
    </div>
  )
}

Local models via Ollama produce clean, functional code for straightforward tasks. This tip calculator works correctly and has a polished UI — the quality sweet spot for local models running on consumer hardware.

Strengths

Ollama (Local) stands out for several key capabilities that make it a strong choice for AI-assisted development.

  • Complete privacy
  • No API costs
  • Works offline
  • Full data control

Considerations

Being transparent about trade-offs helps you choose the right model. Here are some things to keep in mind with Ollama (Local).

  • Quality depends on your hardware (GPU recommended)
  • Smaller models produce lower quality code
  • Initial setup required to install Ollama and download models

Best For

Supported Frameworks

Use Ollama (Local) to build apps with any of these frameworks. Click a card to explore templates and example prompts.

Frequently Asked Questions

Is Ollama (Local) good for code generation?

Yes. Ollama (Local) by Self-hosted is well-suited for code generation, with good code output quality and strengths in Complete privacy and No API costs. It excels at Privacy-sensitive projects, Offline development. Many developers use Ollama (Local) with LoomCode AI to build working apps from natural language descriptions across React, Next.js, Vue, Python, and other frameworks.

How fast is Ollama (Local) for building apps?

Ollama (Local) offers medium speed for code generation, which means response times are typically a few seconds, balancing speed with quality. With LoomCode AI, you describe your app in plain English and receive runnable code. For rapid prototyping and MVP development, its thorough approach pays off for complex projects.

What frameworks work with Ollama (Local)?

Ollama (Local) supports all 8 frameworks available in LoomCode AI: React, Next.js, Vue.js, Python, Streamlit, Gradio, PHP, and Laravel. Whether you need a React single-page app, a Next.js full-stack project, a Streamlit data dashboard, or a Laravel backend, Ollama (Local) can generate working code. Each framework has optimized prompts and templates—simply choose your framework and describe what you want to build.

How much does Ollama (Local) cost?

Completely free — runs on your own hardware. LoomCode AI lets you try Ollama (Local) without any upfront cost—you only pay for API usage based on your provider's pricing. For developers on a budget, some models offer free tiers or extremely low per-token rates. Check Self-hosted's current pricing page for the latest rates.

Can Ollama (Local) build complex applications?

Yes. Ollama (Local) can build complex applications including multi-page dashboards, CRUD systems, data visualization tools, and full-stack apps. Its good quality output and Depends on model (typically 4K-128K tokens) context window allow it to handle sophisticated requirements. Keep in mind: quality depends on your hardware (gpu recommended) smaller models produce lower quality code. For the most demanding projects, we recommend iterating in smaller steps or using more specific prompts.

Ready to build with Ollama (Local)?

Start creating apps from a simple description. No setup required—just describe your idea and get working code.

Try Ollama (Local)

Other Models