Comparison
distributed-llama vs xllm
Verdict
Pick distributed-llama if distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license; pick xllm if a high-performance inference engine for LLM, VLM, DiT, and REC models by the OpenAtom Foundation.
Markdown twin · distributed-llama alternatives · xllm alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | distributed-llama | xllm |
|---|---|---|
| Maintenance | Steady (76d since push) As of Sep 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- distributed-llama
- Distributed LLM inference using home devices cluster
- xllm
- A high-performance inference engine for LLM, VLM, DiT and REC models
Stars
- distributed-llama
- 3.1k
- xllm
- 1.6k
Forks
- distributed-llama
- 250
- xllm
- 300
Open issues
- distributed-llama
- 48
- xllm
- 211
Language
- distributed-llama
- C++
- xllm
- C++
Adopt for
- distributed-llama
- distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license.
- xllm
- A high-performance inference engine for LLM, VLM, DiT, and REC models by the OpenAtom Foundation.
Persona
- distributed-llama
- -
- xllm
- -
Runtime
- distributed-llama
- -
- xllm
- -
License
- distributed-llama
- MIT
- xllm
- Apache-2.0
Last pushed
- distributed-llama
- Jul 5, 2026
- xllm
- Sep 19, 2026
Categories
- distributed-llama
- Inference & Serving
- xllm
- Inference & Serving
Trust and health
Maintenance
- distributed-llama
- Steady (60%)
- xllm
- Very active (96%)
Days since push
- distributed-llama
- 76d
- xllm
- 0d
Open issues (now)
- distributed-llama
- 48
- xllm
- 211
Stars delta
- distributed-llama
- +48 (30d)
- xllm
- +84 (30d)
Open issues delta
- distributed-llama
- 0 (30d)
- xllm
- +20 (30d)
Owner type
- distributed-llama
- User
- xllm
- Organization
Full report
- distributed-llama
- Trust report
- xllm
- Trust report
Choose distributed-llama if…
- License: distributed-llama is MIT, xllm is Apache-2.0.
- Tags unique to distributed-llama: distributed-computing, neural-network.
- When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
When NOT to use distributed-llama
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited.
- In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
Choose xllm if…
- License: xllm is Apache-2.0, distributed-llama is MIT.
- Tags unique to xllm: deepseek, glm.
- When developing applications that require optimized performance on various AI accelerators
When NOT to use xllm
- If your project strictly requires Python-based inference engines for backend support
- In cases preferring proprietary licenses over the Apache-2.0 open-source framework used here
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (b4rtaz/distributed-llama) · observed Sep 20, 2026
- GitHub forks (b4rtaz/distributed-llama) · observed Sep 20, 2026
- Last push (b4rtaz/distributed-llama) · observed Jul 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (xLLM-AI/xllm) · observed Sep 20, 2026
- GitHub forks (xLLM-AI/xllm) · observed Sep 20, 2026
- Last push (xLLM-AI/xllm) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: distributed-llama 3.1k · xllm 1.6k (synced Sep 20, 2026).
Common questions
- What is the difference between distributed-llama and xllm?
- distributed-llama: Distributed LLM inference using home devices cluster. xllm: A high-performance inference engine for LLM, VLM, DiT and REC models. See the comparison table for live GitHub stats and shared categories.
- When should I choose distributed-llama over xllm?
- Choose distributed-llama over xllm when License: distributed-llama is MIT, xllm is Apache-2.0; Tags unique to distributed-llama: distributed-computing, neural-network; When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
- When should I choose xllm over distributed-llama?
- Choose xllm over distributed-llama when License: xllm is Apache-2.0, distributed-llama is MIT; Tags unique to xllm: deepseek, glm; When developing applications that require optimized performance on various AI accelerators.
- When should I avoid distributed-llama?
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited. In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
- When should I avoid xllm?
- If your project strictly requires Python-based inference engines for backend support In cases preferring proprietary licenses over the Apache-2.0 open-source framework used here
- Is distributed-llama or xllm more popular on GitHub?
- distributed-llama has more GitHub stars (3,060 vs 1,577). Stars measure visibility, not whether either tool fits your constraints.
- Are distributed-llama and xllm open source?
- Yes - both are open-source projects on GitHub (distributed-llama: MIT, xllm: Apache-2.0).
- Where can I find alternatives to distributed-llama or xllm?
- GraphCanon lists graph-backed alternatives at distributed-llama alternatives and xllm alternatives (distributed-llama markdown twin, xllm markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, distributed-llama or xllm?
- distributed-llama: Steady. xllm: 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 distributed-llama and xllm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; xllm trust report.