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
Trust & integrity
| Signal | paddler | sglang |
|---|---|---|
| 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
- paddler
- Trust report
- sglang
- Trust report
Typed relationship
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 (intentee/paddler) · observed Sep 20, 2026
- GitHub forks (intentee/paddler) · observed Sep 20, 2026
- Last push (intentee/paddler) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sgl-project/sglang) · observed Sep 20, 2026
- GitHub forks (sgl-project/sglang) · observed Sep 20, 2026
- Last push (sgl-project/sglang) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
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.