---
title: "LocalAI vs deepstream-services-library"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/mudler-localai-vs-prominenceai-deepstream-services-library"
tools: ["mudler-localai", "prominenceai-deepstream-services-library"]
---

# LocalAI vs deepstream-services-library

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick LocalAI when localAI is primarily Go; deepstream-services-library is C++; pick deepstream-services-library when deepstream-services-library is primarily C++; LocalAI is Go.

[LocalAI](https://localai.io) reports 47k GitHub stars, 4.2k forks, and 207 open issues, last pushed Jul 11, 2026. [deepstream-services-library](https://github.com/prominenceai/deepstream-services-library) has 343 stars, 69 forks, and 65 open issues, last pushed Mar 17, 2025. Figures are from public GitHub metadata via [LocalAI's repository](https://github.com/mudler/LocalAI) and [deepstream-services-library's repository](https://github.com/prominenceai/deepstream-services-library).

| | [LocalAI](/tools/mudler-localai.md) | [deepstream-services-library](/tools/prominenceai-deepstream-services-library.md) |
| --- | --- | --- |
| Tagline | Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. | A shared library of on-demand DeepStream Pipeline Services for Python and C/C++ |
| Stars | 47,477 | 343 |
| Forks | 4,221 | 69 |
| Open issues | 207 | 65 |
| Language | Go | C++ |
| Adopt for | LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Computer Vision, LLM Frameworks, Speech & Audio | Computer Vision, Inference & Serving, Speech & Audio |

## Trust and health

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

| | [LocalAI](/tools/mudler-localai.md) | [deepstream-services-library](/tools/prominenceai-deepstream-services-library.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 481d |
| Open issues (now) | 207 | 65 |
| Owner type | User | Organization |
| Security scan | No MCP manifest | No lockfile |
| Full report | [trust report](/tools/mudler-localai/trust.md) | [trust report](/tools/prominenceai-deepstream-services-library/trust.md) |

## Decision facts: LocalAI

- **Pricing:** freemium - As an open-source project under the MIT license, it is free to use and distribute.
- **Adopt for:** LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU.

## Choose when

### Choose LocalAI if…

- LocalAI is primarily Go; deepstream-services-library is C++.
- Pricing: As an open-source project under the MIT license, it is free to use and distribute..
- Tags unique to LocalAI: agents, api, audio-generation, decentralized.
- Also covers LLM Frameworks.
- LocalAI ships Docker support for self-hosted deployment.
- Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware.

### Choose deepstream-services-library if…

- deepstream-services-library is primarily C++; LocalAI is Go.
- Tags unique to deepstream-services-library: computer-vision, deep-learning, deepstream, edge-computing.
- Also covers Inference & Serving.

## When NOT to use LocalAI

- Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility.
- Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written).

## When NOT to use deepstream-services-library

- Last GitHub push was 482 days ago (dormant maintenance, Mar 17, 2025). Validate activity before betting a new project on deepstream-services-library.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

## Common questions

### What is the difference between LocalAI and deepstream-services-library?

LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. deepstream-services-library: A shared library of on-demand DeepStream Pipeline Services for Python and C/C++. See the comparison table for live GitHub stats and shared categories.

### When should I choose LocalAI over deepstream-services-library?

Choose LocalAI over deepstream-services-library when LocalAI is primarily Go; deepstream-services-library is C++; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; Tags unique to LocalAI: agents, api, audio-generation, decentralized; Also covers LLM Frameworks; LocalAI ships Docker support for self-hosted deployment; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware.

### When should I choose deepstream-services-library over LocalAI?

Choose deepstream-services-library over LocalAI when deepstream-services-library is primarily C++; LocalAI is Go; Tags unique to deepstream-services-library: computer-vision, deep-learning, deepstream, edge-computing; Also covers Inference & Serving.

### When should I avoid LocalAI?

Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written).

### When should I avoid deepstream-services-library?

Last GitHub push was 482 days ago (dormant maintenance, Mar 17, 2025). Validate activity before betting a new project on deepstream-services-library. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

### Is LocalAI or deepstream-services-library more popular on GitHub?

LocalAI has more GitHub stars (47,477 vs 343). Stars measure visibility, not whether either tool fits your constraints.

### Are LocalAI and deepstream-services-library open source?

Yes - both are open-source projects on GitHub (LocalAI: MIT, deepstream-services-library: MIT).

### Where can I find alternatives to LocalAI or deepstream-services-library?

GraphCanon lists graph-backed alternatives at [LocalAI alternatives](/tools/mudler-localai/alternatives) and [deepstream-services-library alternatives](/tools/prominenceai-deepstream-services-library/alternatives) ([LocalAI markdown twin](/tools/mudler-localai/alternatives.md), [deepstream-services-library markdown twin](/tools/prominenceai-deepstream-services-library/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/mudler-localai-vs-prominenceai-deepstream-services-library.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, LocalAI or deepstream-services-library?

LocalAI: Very active. deepstream-services-library: Dormant. 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 LocalAI and deepstream-services-library?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LocalAI trust report](/tools/mudler-localai/trust); [deepstream-services-library trust report](/tools/prominenceai-deepstream-services-library/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=mudler-localai`](/api/graphcanon/graph?tool=mudler-localai)
- 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/_
