Comparison
langchain-serve vs langchain-hs
Verdict
Pick langchain-serve if langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management; pick langchain-hs if langChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development.
Markdown twin · langchain-serve alternatives · langchain-hs alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | langchain-serve | langchain-hs |
|---|---|---|
| Maintenance | Archived (1094d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- langchain-serve
- Self-host LLM Apps with Docker Compose or Kubernetes
- langchain-hs
- Haskell implementation of LangChain
Stars
- langchain-serve
- 1.6k
- langchain-hs
- 52
Forks
- langchain-serve
- 133
- langchain-hs
- 8
Open issues
- langchain-serve
- 15
- langchain-hs
- 5
Language
- langchain-serve
- Python
- langchain-hs
- Haskell
Adopt for
- langchain-serve
- Langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management.
- langchain-hs
- LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development.
Persona
- langchain-serve
- -
- langchain-hs
- -
Runtime
- langchain-serve
- -
- langchain-hs
- -
License
- langchain-serve
- Apache-2.0
- langchain-hs
- MIT
Last pushed
- langchain-serve
- Sep 20, 2023
- langchain-hs
- Sep 6, 2026
Categories
- langchain-serve
- Developer Tools, Inference & Serving
- langchain-hs
- Developer Tools, Model Training
Trust and health
Maintenance
- langchain-serve
- Archived (8%)
- langchain-hs
- Very active (96%)
Days since push
- langchain-serve
- 1094d
- langchain-hs
- 1d
Archived on GitHub
- langchain-serve
- Yes
- langchain-hs
- No
Open issues (now)
- langchain-serve
- 15
- langchain-hs
- 5
Stars delta
- langchain-serve
- -1 (30d)
- langchain-hs
- 0 (30d)
Open issues delta
- langchain-serve
- 0 (30d)
- langchain-hs
- +1 (30d)
Owner type
- langchain-serve
- Organization
- langchain-hs
- User
OSV dependency advisories
- langchain-serve
- No published findings from this source as of 2026-09-18
- langchain-hs
- No lockfile (source not queried)
Full report
- langchain-serve
- Trust report
- langchain-hs
- Trust report
Choose langchain-serve if…
- langchain-serve is primarily Python; langchain-hs is Haskell.
- License: langchain-serve is Apache-2.0, langchain-hs is MIT.
- Pricing: Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, .
- Requirements: Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via `.env` files..
- Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot.
- Also covers Inference & Serving.
- When you need to deploy Langchain applications with Jina and FastAPI on your own infrastructure.
When NOT to use langchain-serve
- If you do not require or prefer not to use Jina and FastAPI for your Langchain applications.
- When you do not need or want to manage secrets through a `.env` file during deployment.
- If you are not interested in deploying your applications using Docker Compose or Kubernetes.
- If you are looking for a fully managed cloud service without the need to manage your own infrastructure.
Choose langchain-hs if…
- langchain-hs is primarily Haskell; langchain-serve is Python.
- License: langchain-hs is MIT, langchain-serve is Apache-2.0.
- Tags unique to langchain-hs: ai development library, functional programming, haskell.
- Also covers Model Training.
- You require a robust AI functionality with a preference or need for functional programming approaches
When NOT to use langchain-hs
- When your team lacks experience with functional programming as Haskell requires a different mindset compared to imperative languages.
- If performance optimization is the top priority, given that Haskell might not match the speed of languages like Python in all scenarios.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jina-ai/langchain-serve) · observed Sep 20, 2026
- GitHub forks (jina-ai/langchain-serve) · observed Sep 20, 2026
- Last push (jina-ai/langchain-serve) · observed Sep 20, 2023
- 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 (tusharad/langchain-hs) · observed Sep 20, 2026
- GitHub forks (tusharad/langchain-hs) · observed Sep 20, 2026
- Last push (tusharad/langchain-hs) · observed Sep 6, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain-serve 1.6k · langchain-hs 52 (synced Sep 20, 2026).
Common questions
- What is the difference between langchain-serve and langchain-hs?
- langchain-serve: Self-host LLM Apps with Docker Compose or Kubernetes. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain-serve over langchain-hs?
- Choose langchain-serve over langchain-hs when langchain-serve is primarily Python; langchain-hs is Haskell; License: langchain-serve is Apache-2.0, langchain-hs is MIT; Pricing: Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, ; Requirements: Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via
.envfiles.; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; Also covers Inference & Serving; When you need to deploy Langchain applications with Jina and FastAPI on your own infrastructure. - When should I choose langchain-hs over langchain-serve?
- Choose langchain-hs over langchain-serve when langchain-hs is primarily Haskell; langchain-serve is Python; License: langchain-hs is MIT, langchain-serve is Apache-2.0; Tags unique to langchain-hs: ai development library, functional programming, haskell; Also covers Model Training; You require a robust AI functionality with a preference or need for functional programming approaches.
- When should I avoid langchain-serve?
- If you do not require or prefer not to use Jina and FastAPI for your Langchain applications. When you do not need or want to manage secrets through a
.envfile during deployment. If you are not interested in deploying your applications using Docker Compose or Kubernetes. If you are looking for a fully managed cloud service without the need to manage your own infrastructure. - When should I avoid langchain-hs?
- When your team lacks experience with functional programming as Haskell requires a different mindset compared to imperative languages. If performance optimization is the top priority, given that Haskell might not match the speed of languages like Python in all scenarios.
- Is langchain-serve or langchain-hs more popular on GitHub?
- langchain-serve has more GitHub stars (1,639 vs 52). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain-serve and langchain-hs open source?
- Yes - both are open-source projects on GitHub (langchain-serve: Apache-2.0, langchain-hs: MIT).
- Where can I find alternatives to langchain-serve or langchain-hs?
- GraphCanon lists graph-backed alternatives at langchain-serve alternatives and langchain-hs alternatives (langchain-serve markdown twin, langchain-hs 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, langchain-serve or langchain-hs?
- langchain-serve: Archived. langchain-hs: 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 langchain-serve and langchain-hs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain-serve trust report; langchain-hs trust report.