Comparison
langcorn vs sglang
Verdict
Pick langcorn if langCorn is a tool that serves LangChain LLM apps and agents with FastApi; 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 · langcorn alternatives · sglang alternatives
GraphCanon updated Sep 20, 2026
11views this month
Trust & integrity
| Signal | langcorn | sglang |
|---|---|---|
| Maintenance | Dormant (796d 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 · Personal 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 | Published findings 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
- langcorn
- Serving LangChain LLM apps and agents automagically with FastApi
- sglang
- SGLang is a high-performance serving framework for large language models and multimodal models.
Stars
- langcorn
- 938
- sglang
- 36k
Forks
- langcorn
- 69
- sglang
- 9.0k
Open issues
- langcorn
- 21
- sglang
- 5.5k
Language
- langcorn
- Python
- sglang
- Python
Adopt for
- langcorn
- LangCorn is a tool that serves LangChain LLM apps and agents with FastApi.
- sglang
- SGLang is a high-performance serving framework for large language models and multimodal models, supporting models like GPT, LLaMA, and Qwen.
Persona
- langcorn
- -
- sglang
- -
Runtime
- langcorn
- -
- sglang
- -
License
- langcorn
- MIT
- sglang
- SGLang is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- langcorn
- Jul 15, 2024
- sglang
- Sep 18, 2026
Categories
- langcorn
- Inference & Serving
- sglang
- Inference & Serving
Trust and health
Maintenance
- langcorn
- Dormant (18%)
- sglang
- Very active (96%)
Days since push
- langcorn
- 796d
- sglang
- 0d
Open issues (now)
- langcorn
- 21
- sglang
- 5.5k
Stars delta
- langcorn
- 0 (30d)
- sglang
- +4.7k (30d)
Open issues delta
- langcorn
- 0 (30d)
- sglang
- +371 (30d)
Owner type
- langcorn
- User
- sglang
- Organization
OSV dependency advisories
- langcorn
- Published findings
- sglang
- No lockfile (source not queried)
Full report
- langcorn
- Trust report
- sglang
- Trust report
Typed relationship
langcorn alternative sglangBoth Langcorn and sgLang are focused on the deployment of large language models, but they approach it differently. While Langcorn is tailored specifically for LangChain models with FastAPI as a backend, sgLang is more generalized in its approach.
Choose langcorn if…
- License: langcorn is MIT, sglang is Apache-2.0.
- Both Langcorn and sgLang are focused on the deployment of large language models, but they approach it differently. While Langcorn is tailored specifically for LangChain models with FastAPI as a backend, sgLang is more generalized in its approach.
- Tags unique to langcorn: api, fastapi, langchain, large-language-models.
- When you are deploying applications built with Large Language Models (LLMs) like OpenAI.
When NOT to use langcorn
- When you require a framework other than FastAPI for your deployment needs.
- If you are looking for broader support beyond LangChain-compatible projects.
- In cases where minimal integration with the current infrastructure is not acceptable, as LangCorn requires specific adaptation steps.
Choose sglang if…
- License: sglang is Apache-2.0, langcorn is MIT.
- Requirements: SGLang supports various models including GPT, LLaMA, and Qwen, indicating a broad compatibility with different types of large language models..
- Both Langcorn and sgLang are focused on the deployment of large language models, but they approach it differently. While Langcorn is tailored specifically for LangChain models with FastAPI as a backend, sgLang is more generalized in its approach.
- 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 (msoedov/langcorn) · observed Sep 20, 2026
- GitHub forks (msoedov/langcorn) · observed Sep 20, 2026
- Last push (msoedov/langcorn) · observed Jul 15, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 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: langcorn 938 · sglang 36k (synced Sep 20, 2026).
Common questions
- What is the difference between langcorn and sglang?
- langcorn: Serving LangChain LLM apps and agents automagically with FastApi. 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 langcorn over sglang?
- Choose langcorn over sglang when License: langcorn is MIT, sglang is Apache-2.0; Both Langcorn and sgLang are focused on the deployment of large language models, but they approach it differently. While Langcorn is tailored specifically for LangChain models with FastAPI as a backend, sgLang is more generalized in its approach; Tags unique to langcorn: api, fastapi, langchain, large-language-models; When you are deploying applications built with Large Language Models (LLMs) like OpenAI.
- When should I choose sglang over langcorn?
- Choose sglang over langcorn when License: sglang is Apache-2.0, langcorn is MIT; Requirements: SGLang supports various models including GPT, LLaMA, and Qwen, indicating a broad compatibility with different types of large language models.; Both Langcorn and sgLang are focused on the deployment of large language models, but they approach it differently. While Langcorn is tailored specifically for LangChain models with FastAPI as a backend, sgLang is more generalized in its approach; 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 langcorn?
- When you require a framework other than FastAPI for your deployment needs. If you are looking for broader support beyond LangChain-compatible projects. In cases where minimal integration with the current infrastructure is not acceptable, as LangCorn requires specific adaptation steps.
- 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 langcorn or sglang more popular on GitHub?
- sglang has more GitHub stars (36,123 vs 938). Stars measure visibility, not whether either tool fits your constraints.
- Are langcorn and sglang open source?
- Yes - both are open-source projects on GitHub (langcorn: MIT, sglang: Apache-2.0).
- Where can I find alternatives to langcorn or sglang?
- GraphCanon lists graph-backed alternatives at langcorn alternatives and sglang alternatives (langcorn 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, langcorn or sglang?
- langcorn: Dormant. 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 langcorn and sglang?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langcorn trust report; sglang trust report.