Home/Compare/langchain vs latitude-llm

Comparison

langchain vs latitude-llm

Verdict

Pick langchain when langchain is primarily Python; latitude-llm is TypeScript; pick latitude-llm when latitude-llm is primarily TypeScript; langchain is Python.

Markdown twin · langchain alternatives · latitude-llm alternatives

GraphCanon updated today

langchain logo

langchain

langchain-ai/langchain

142kpushed Jul 14, 2026
vs
latitude-llm logo

latitude-llm

latitude-dev/latitude-llm

4.4kpushed Jul 15, 2026

Trust & integrity

Signallangchainlatitude-llm
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · 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
The agent engineering platform.
latitude-llm
Latitude is the open-source ai monitoring platform.

Stars

langchain
142k
latitude-llm
4.4k

Forks

langchain
24k
latitude-llm
358

Open issues

langchain
419
latitude-llm
55

Language

langchain
Python
latitude-llm
TypeScript

Adopt for

langchain
LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
latitude-llm
-

Persona

langchain
-
latitude-llm
-

Runtime

langchain
-
latitude-llm
-

License

langchain
MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
latitude-llm
MIT

Last pushed

langchain
Jul 14, 2026
latitude-llm
Jul 15, 2026

Categories

langchain
AI Agents, LLM Frameworks
latitude-llm
AI Agents, Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

langchain
419
latitude-llm
55

Full report

langchain
Trust report
latitude-llm
Trust report

Choose langchain if…

  • langchain is primarily Python; latitude-llm is TypeScript.
  • Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
  • Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
  • * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.

When NOT to use langchain

  • * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
  • * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
  • * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.

Choose latitude-llm if…

  • latitude-llm is primarily TypeScript; langchain is Python.
  • Tags unique to latitude-llm: agent-monitoring, agent-observability, ai-error-monitor, ai-monitoring.
  • Also covers Inference & Serving.
  • latitude-llm ships Docker support for self-hosted deployment.

When NOT to use latitude-llm

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: langchain 142k · latitude-llm 4.4k (synced Jul 14, 2026).

Common questions

What is the difference between langchain and latitude-llm?
langchain: The agent engineering platform.. latitude-llm: Latitude is the open-source ai monitoring platform.. See the comparison table for live GitHub stats and shared categories.
When should I choose langchain over latitude-llm?
Choose langchain over latitude-llm when langchain is primarily Python; latitude-llm is TypeScript; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When should I choose latitude-llm over langchain?
Choose latitude-llm over langchain when latitude-llm is primarily TypeScript; langchain is Python; Tags unique to latitude-llm: agent-monitoring, agent-observability, ai-error-monitor, ai-monitoring; Also covers Inference & Serving; latitude-llm ships Docker support for self-hosted deployment.
When should I avoid langchain?
* When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
When should I avoid latitude-llm?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is langchain or latitude-llm more popular on GitHub?
langchain has more GitHub stars (141,713 vs 4,435). Stars measure visibility, not whether either tool fits your constraints.
Are langchain and latitude-llm open source?
Yes - both are open-source projects on GitHub (langchain: MIT, latitude-llm: MIT).
Where can I find alternatives to langchain or latitude-llm?
GraphCanon lists graph-backed alternatives at langchain alternatives and latitude-llm alternatives (langchain markdown twin, latitude-llm 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 or latitude-llm?
langchain: Very active. latitude-llm: 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 and latitude-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; latitude-llm trust report.

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