---
title: "promptflow vs ollama"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-promptflow-vs-ollama-ollama"
tools: ["microsoft-promptflow", "ollama-ollama"]
---

# promptflow vs ollama

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick promptflow when promptflow is primarily Python; ollama is Go; pick ollama when ollama is primarily Go; promptflow is Python.

[promptflow](https://microsoft.github.io/promptflow/) reports 11k GitHub stars, 1.1k forks, and 77 open issues, last pushed Jul 9, 2026. [ollama](https://ollama.com) has 176k stars, 17k forks, and 3.4k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [promptflow's repository](https://github.com/microsoft/promptflow) and [ollama's repository](https://github.com/ollama/ollama).

| | [promptflow](/tools/microsoft-promptflow.md) | [ollama](/tools/ollama-ollama.md) |
| --- | --- | --- |
| Tagline | Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring. | Get up and running with various large language models using Ollama. |
| Stars | 11,180 | 175,936 |
| Forks | 1,109 | 16,939 |
| Open issues | 77 | 3,423 |
| Language | Python | Go |
| Adopt for | - | Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT license - permissive open-source licensing that allows for broad use of the tool. |
| Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [promptflow](/tools/microsoft-promptflow.md) | [ollama](/tools/ollama-ollama.md) |
| --- | --- | --- |
| Open issues (now) | 77 | 3.4k |
| Security scan | No lockfile | 52 low (52 low) |
| Full report | [trust report](/tools/microsoft-promptflow/trust.md) | [trust report](/tools/ollama-ollama/trust.md) |

## Decision facts: ollama

- **Hosting:** self hosted - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- **Adopt for:** Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and
- **License detail:** MIT license - permissive open-source licensing that allows for broad use of the tool.

## Choose when

### Choose promptflow if…

- promptflow is primarily Python; ollama is Go.
- Tags unique to promptflow: ai, ai-application-development, ai-applications, chatgpt.
- Also covers Evaluation & Observability.

### Choose ollama if…

- ollama is primarily Go; promptflow is Python.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- Tags unique to ollama: deepseek, gemma, glm, go.
- ollama ships Docker support for self-hosted deployment.
- Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or

## When NOT to use promptflow

- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use ollama

- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.

## Common questions

### What is the difference between promptflow and ollama?

promptflow: Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.. ollama: Get up and running with various large language models using Ollama.. See the comparison table for live GitHub stats and shared categories.

### When should I choose promptflow over ollama?

Choose promptflow over ollama when promptflow is primarily Python; ollama is Go; Tags unique to promptflow: ai, ai-application-development, ai-applications, chatgpt; Also covers Evaluation & Observability.

### When should I choose ollama over promptflow?

Choose ollama over promptflow when ollama is primarily Go; promptflow is Python; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, go; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.

### When should I avoid promptflow?

Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid ollama?

Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.

### Is promptflow or ollama more popular on GitHub?

ollama has more GitHub stars (175,936 vs 11,180). Stars measure visibility, not whether either tool fits your constraints.

### Are promptflow and ollama open source?

Yes - both are open-source projects on GitHub (promptflow: MIT, ollama: MIT).

### Where can I find alternatives to promptflow or ollama?

GraphCanon lists graph-backed alternatives at [promptflow alternatives](/tools/microsoft-promptflow/alternatives) and [ollama alternatives](/tools/ollama-ollama/alternatives) ([promptflow markdown twin](/tools/microsoft-promptflow/alternatives.md), [ollama markdown twin](/tools/ollama-ollama/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/microsoft-promptflow-vs-ollama-ollama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, promptflow or ollama?

promptflow: Very active. ollama: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for promptflow and ollama?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptflow trust report](/tools/microsoft-promptflow/trust); [ollama trust report](/tools/ollama-ollama/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-promptflow`](/api/graphcanon/graph?tool=microsoft-promptflow)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_