Home/Compare/paddler vs sglang

Comparison

paddler vs sglang

Verdict

Pick paddler if paddler offers a streamlined approach to serve LLMs/VLMs with minimal setup complexity, focusing on scaling through simplicity; pick sglang if sGLang is a high-performance serving framework for large language models and multimodal models, supporting models like GPT, LLaMA, and Qwen.

Markdown twin · paddler alternatives · sglang alternatives

GraphCanon updated Sep 20, 2026

19views this month

paddler logo

paddler

intentee/paddler

★ 1.7kpushed Sep 17, 2026
vs
sglang logo

sglang

sgl-project/sglang

★ 36kpushed Sep 18, 2026

Trust & integrity

Signalpaddlersglang
Maintenance
Very active (2d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

paddler
Open-source LLM/VLM load balancer and serving platform for self-hosting at scale
sglang
SGLang is a high-performance serving framework for large language models and multimodal models.

Stars

paddler
1.7k
sglang
36k

Forks

paddler
98
sglang
9.0k

Open issues

paddler
30
sglang
5.5k

Language

paddler
Rust
sglang
Python

Adopt for

paddler
Paddler offers a streamlined approach to serve LLMs/VLMs with minimal setup complexity, focusing on scaling through simplicity.
sglang
SGLang is a high-performance serving framework for large language models and multimodal models, supporting models like GPT, LLaMA, and Qwen.

Persona

paddler
-
sglang
-

Runtime

paddler
-
sglang
-

License

paddler
Apache-2.0
sglang
SGLang is licensed under Apache-2.0, allowing for free use, modification, and distribution.

Last pushed

paddler
Sep 17, 2026
sglang
Sep 18, 2026

Categories

paddler
Inference & Serving
sglang
Inference & Serving

Trust and health

Days since push

paddler
2d
sglang
0d

Open issues (now)

paddler
30
sglang
5.5k

Stars delta

paddler
+11 (30d)
sglang
+4.7k (30d)

Open issues delta

paddler
+1 (30d)
sglang
+371 (30d)

OSV dependency advisories

paddler
No published findings from this source as of 2026-07-11
sglang
No lockfile (source not queried)

Full report

Typed relationship

paddler alternative sglangBoth sglang and Paddler offer serving frameworks for large language models with considerations for multimodal models; however, their approaches to deployment and management may differ.

Choose paddler if…

  • paddler is primarily Rust; sglang is Python.
  • Both sglang and Paddler offer serving frameworks for large language models with considerations for multimodal models; however, their approaches to deployment and management may differ.
  • Tags unique to paddler: ai, cpu, gpu, llamacpp.
  • paddler ships Docker support for self-hosted deployment.
  • Need a platform that simplifies deployments around the ggml ecosystem for self-hosting at scale

When NOT to use paddler

  • Require extensive customization options in model serving infrastructure that Paddler's minimalistic design does not support
  • Seek complex feature sets beyond simple scale-out capabilities, which might be found in more comprehensive platforms

Choose sglang if…

  • sglang is primarily Python; paddler is Rust.
  • Requirements: SGLang supports various models including GPT, LLaMA, and Qwen, indicating a broad compatibility with different types of large language models..
  • Both sglang and Paddler offer serving frameworks for large language models with considerations for multimodal models; however, their approaches to deployment and management may differ.
  • Tags unique to sglang: attention, blackwell, cuda, deepseek.
  • Use SGLang when you need a framework that supports high-performance serving for large language models and multimodal models, particularly if you are working with models like GPT, LLaMA, or Qwen.

When NOT to use sglang

  • Avoid SGLang if your project does not require support for large language models or multimodal models, as its specialized features may not be beneficial.
  • Do not use SGLang if your project is constrained by the Apache-2.0 license, as this may not align with your licensing requirements.

Explore

Sources

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

GitHub stars on cards: paddler 1.7k · sglang 36k (synced Sep 20, 2026).

Common questions

What is the difference between paddler and sglang?
paddler: Open-source LLM/VLM load balancer and serving platform for self-hosting at scale. sglang: SGLang is a high-performance serving framework for large language models and multimodal models.. See the comparison table for live GitHub stats and shared categories.
When should I choose paddler over sglang?
Choose paddler over sglang when paddler is primarily Rust; sglang is Python; Both sglang and Paddler offer serving frameworks for large language models with considerations for multimodal models; however, their approaches to deployment and management may differ; Tags unique to paddler: ai, cpu, gpu, llamacpp; paddler ships Docker support for self-hosted deployment; Need a platform that simplifies deployments around the ggml ecosystem for self-hosting at scale.
When should I choose sglang over paddler?
Choose sglang over paddler when sglang is primarily Python; paddler is Rust; Requirements: SGLang supports various models including GPT, LLaMA, and Qwen, indicating a broad compatibility with different types of large language models.; Both sglang and Paddler offer serving frameworks for large language models with considerations for multimodal models; however, their approaches to deployment and management may differ; Tags unique to sglang: attention, blackwell, cuda, deepseek; Use SGLang when you need a framework that supports high-performance serving for large language models and multimodal models, particularly if you are working with models like GPT, LLaMA, or Qwen.
When should I avoid paddler?
Require extensive customization options in model serving infrastructure that Paddler's minimalistic design does not support Seek complex feature sets beyond simple scale-out capabilities, which might be found in more comprehensive platforms
When should I avoid sglang?
Avoid SGLang if your project does not require support for large language models or multimodal models, as its specialized features may not be beneficial. Do not use SGLang if your project is constrained by the Apache-2.0 license, as this may not align with your licensing requirements.
Is paddler or sglang more popular on GitHub?
sglang has more GitHub stars (36,123 vs 1,674). Stars measure visibility, not whether either tool fits your constraints.
Are paddler and sglang open source?
Yes - both are open-source projects on GitHub (paddler: Apache-2.0, sglang: Apache-2.0).
Where can I find alternatives to paddler or sglang?
GraphCanon lists graph-backed alternatives at paddler alternatives and sglang alternatives (paddler markdown twin, sglang 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, paddler or sglang?
paddler: Very active. sglang: 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 paddler and sglang?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paddler trust report; sglang trust report.

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