SGLang alternatives

Short answer

We track 7 self-hosted alternatives to SGLang: Ollama, llama.cpp, vLLM, LocalAI, TextGen (text-generation-webui), Xinference and GPUStack.

Ollama (same category): no GPU server needed and larger community (185k vs 38.3k GitHub stars).

llama.cpp (same category): no GPU server needed and larger community (133k vs 38.3k GitHub stars).

vLLM (same category): larger community (95.9k vs 38.3k GitHub stars).

Last updated · how we rank · sources

SGLang alternatives compared

Self-hosted alternatives to SGLang, ranked
#AppAdvantages over SGLangEst. server costOfficial hardwareLicenseStarsLast commitCompare
—SGLang (this app)ActiveGPU server (not estimated)not publishedApache-2.038.3kOct 31, 2026—
1 Ollama
Same category
no GPU server needed; larger community (185k vs 38.3k GitHub stars)
Trade-off: SGLang has simpler deploy (one container vs a multi-container stack)
not estimated (no official RAM figure) not published MIT 185k Oct 30, 2026 SGLang vs Ollama
2 llama.cpp
Same category
no GPU server needed; larger community (133k vs 38.3k GitHub stars)
Trade-off: SGLang has simpler deploy (one container vs a multi-container stack)
not estimated (no official RAM figure) not published MIT 133k Oct 31, 2026 SGLang vs llama.cpp
3 vLLM
Same category
larger community (95.9k vs 38.3k GitHub stars) GPU server (not estimated) not published Apache-2.0 95.9k Oct 31, 2026 SGLang vs vLLM
4 LocalAI
Same category
no GPU server needed not estimated (no official RAM figure) not published MIT 50.1k Oct 30, 2026 SGLang vs LocalAI
5 TextGen (text-generation-webui)
Same category
no GPU server needed
Trade-off: SGLang has fewer license conditions (Permissive vs Network copyleft (AGPL)); simpler deploy (one container vs a multi-container stack)
not estimated (no official RAM figure) not published AGPL-3.0 47.7k Aug 17, 2026 SGLang vs TextGen (text-generation-webui)
6 Xinference
Same category
no GPU server needed
Trade-off: SGLang has larger community (38.3k vs 9.6k GitHub stars)
not estimated (no official RAM figure) not published Apache-2.0 9.6k Oct 31, 2026 SGLang vs Xinference
7 GPUStack
Same category
None in our data (differs in features)
Trade-off: SGLang has larger community (38.3k vs 5.9k GitHub stars)
GPU server (not estimated) not published Apache-2.0 5.9k Oct 30, 2026 SGLang vs GPUStack

Ranked by the number of objective advantages each alternative has over the app (cheaper estimated server cost, lighter official RAM figure, no GPU needed, fewer license conditions, better maintenance status, at least 1.5× the GitHub stars, simpler deploy). Ties: same-category apps first, then more GitHub stars. License order used: Permissive (MIT/Apache) → Open core → Copyleft (GPL) or Custom conditions → Network copyleft (AGPL) → Source-available. Archived projects are not listed as alternatives.

What each alternative is

  • Ollama (Local model runtimes): The simplest way to download and run open-weight LLMs locally behind an API.
  • llama.cpp (Local model runtimes): Lightweight C/C++ engine that runs quantized open models on CPU or GPU, with an OpenAI-compatible server.
  • vLLM (Local model runtimes): High-throughput LLM inference server for GPUs with an OpenAI-compatible API.
  • LocalAI (Local model runtimes): OpenAI-compatible API for LLMs, vision, voice and images on any hardware.
  • TextGen (text-generation-webui) (Local model runtimes): Local LLM app (formerly text-generation-webui) with a browser UI, OpenAI/Anthropic-compatible API and LoRA training.
  • Xinference (Local model runtimes): Model-serving platform for LLM, embedding, rerank, speech and image models behind one OpenAI-compatible API.
  • GPUStack (Local model runtimes): GPU cluster manager that deploys vLLM, SGLang and other engines behind an OpenAI-compatible API.

SGLang alternatives: FAQ

What is the best self-hosted alternative to SGLang?

By our objective ranking: 1. Ollama (no GPU server needed; larger community (185k vs 38.3k GitHub stars)) 2. llama.cpp (no GPU server needed; larger community (133k vs 38.3k GitHub stars)) 3. vLLM (larger community (95.9k vs 38.3k GitHub stars)). "Best" depends on the features you need; the ranking only counts cost, hardware, license, maintenance, community size and deploy complexity.

Is there a cheaper alternative to SGLang?

Not by our estimate. SGLang: GPU server (not estimated). Alternatives: Ollama (not estimated (no official RAM figure)), llama.cpp (not estimated (no official RAM figure)), vLLM (GPU server (not estimated)), LocalAI (not estimated (no official RAM figure)), TextGen (text-generation-webui) (not estimated (no official RAM figure)), Xinference (not estimated (no official RAM figure)), GPUStack (GPU server (not estimated)).

Which SGLang alternative has the most permissive license?

None has fewer conditions than SGLang (Apache-2.0 (Permissive)). Alternatives: Ollama: MIT (Permissive); llama.cpp: MIT (Permissive); vLLM: Apache-2.0 (Permissive); LocalAI: MIT (Permissive); TextGen (text-generation-webui): AGPL-3.0 (Network copyleft (AGPL)); Xinference: Apache-2.0 (Permissive); GPUStack: Apache-2.0 (Permissive). Not legal advice.

Which SGLang alternative needs the least hardware?

Ollama: not published; llama.cpp: not published; LocalAI: not published; TextGen (text-generation-webui): not published; Xinference: not published. SGLang: not published.

Related

Sources