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Comparison

ggrun vs Server

Verdict

Pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities; pick Server if server is a standalone HTTP-based inference server for deploying Rubix ML estimators using PHP.

Markdown twin · ggrun alternatives · Server alternatives

GraphCanon updated Sep 20, 2026

12views this month

ggrun logo

ggrun

raketenkater/ggrun

★ 275pushed Sep 19, 2026
vs
Server logo

Server

RubixML/Server

★ 63pushed Mar 3, 2026

Trust & integrity

SignalggrunServer
Maintenance
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (201d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 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
ggrun trust reportServer trust reportTrust methodology

Tagline

ggrun
Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server
Server
Standalone inference server for Rubix ML estimators.

Stars

ggrun
275
Server
63

Forks

ggrun
18
Server
13

Open issues

ggrun
4
Server
1

Language

ggrun
Go
Server
PHP

Adopt for

ggrun
ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Server
Server is a standalone HTTP-based inference server for deploying Rubix ML estimators using PHP.

Persona

ggrun
-
Server
-

Runtime

ggrun
-
Server
-

License

ggrun
MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.
Server
MIT

Last pushed

ggrun
Sep 19, 2026
Server
Mar 3, 2026

Categories

ggrun
Inference & Serving
Server
Inference & Serving

Trust and health

Maintenance

ggrun
Very active (96%)
Server
Slowing (36%)

Days since push

ggrun
0d
Server
201d

Open issues (now)

ggrun
4
Server
1

Stars delta

ggrun
+11 (30d)
Server
0 (30d)

Open issues delta

ggrun
+3 (30d)
Server
0 (30d)

Owner type

ggrun
User
Server
Organization

Full report

ggrun
Trust report
Server
Trust report

Choose ggrun if…

  • ggrun is primarily Go; Server is PHP.
  • Pricing: Free to use under MIT license; no direct costs involved in usage..
  • Tags unique to ggrun: cuda, gguf, golang, inference-server.
  • When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs

When NOT to use ggrun

  • For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
  • When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
GitHubDetails

Choose Server if…

  • Server is primarily PHP; ggrun is Go.
  • Tags unique to Server: api, http-server, inference-engine, infrastructure.
  • When you are working with machine learning models trained in the Rubix ML framework and need to deploy them via a PHP-based infrastructure.

When NOT to use Server

  • Avoid using if your primary technology stack is not based on PHP, as it would necessitate integration with a non-native language environment, increasing complexity.
  • Do not use this tool for large-scale deployments requiring high throughput and low latency typical of more robust languages like Python or Rust.
GitHubDetails

Explore

ggrun trust report →Server trust report →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ggrun 275 · Server 63 (synced Sep 20, 2026).

Common questions

What is the difference between ggrun and Server?
ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. Server: Standalone inference server for Rubix ML estimators.. See the comparison table for live GitHub stats and shared categories.
When should I choose ggrun over Server?
Choose ggrun over Server when ggrun is primarily Go; Server is PHP; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
When should I choose Server over ggrun?
Choose Server over ggrun when Server is primarily PHP; ggrun is Go; Tags unique to Server: api, http-server, inference-engine, infrastructure; When you are working with machine learning models trained in the Rubix ML framework and need to deploy them via a PHP-based infrastructure.
When should I avoid ggrun?
For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
When should I avoid Server?
Avoid using if your primary technology stack is not based on PHP, as it would necessitate integration with a non-native language environment, increasing complexity. Do not use this tool for large-scale deployments requiring high throughput and low latency typical of more robust languages like Python or Rust.
Is ggrun or Server more popular on GitHub?
ggrun has more GitHub stars (275 vs 63). Stars measure visibility, not whether either tool fits your constraints.
Are ggrun and Server open source?
Yes - both are open-source projects on GitHub (ggrun: MIT, Server: MIT).
Where can I find alternatives to ggrun or Server?
GraphCanon lists graph-backed alternatives at ggrun alternatives and Server alternatives (ggrun markdown twin, Server 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, ggrun or Server?
ggrun: Very active. Server: Slowing. 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 ggrun and Server?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ggrun trust report; Server trust report.

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