Home/Compare/langchain vs blast

Comparison

langchain vs blast

Verdict

Pick langchain when 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.; pick blast when tags unique to blast: python, browser-automation, llm-inference.

Markdown twin · langchain alternatives · blast alternatives

GraphCanon updated today

langchain logo

langchain

langchain-ai/langchain

142kpushed Jul 11, 2026
vs
blast logo

blast

stanford-mast/blast

776pushed May 29, 2026

Trust & integrity

Signallangchainblast
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (42d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

langchain
The agent engineering platform.
blast
Open-source VMs-as-a-service

Stars

langchain
142k
blast
776

Forks

langchain
24k
blast
50

Open issues

langchain
419
blast
6

Language

langchain
Python
blast
Python

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
blast
-

Persona

langchain
-
blast
-

Runtime

langchain
-
blast
-

License

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

Last pushed

langchain
Jul 11, 2026
blast
May 29, 2026

Categories

langchain
AI Agents, LLM Frameworks
blast
AI Agents, LLM Frameworks, Inference & Serving

Trust and health

Maintenance

langchain
Very active (96%)
blast
Steady (60%)

Days since push

langchain
0d
blast
42d

Open issues (now)

langchain
419
blast
6

Full report

langchain
Trust report

Choose langchain if…

  • 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, gemini, deepagents, generative-ai.
  • * 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 blast if…

  • Tags unique to blast: python, browser-automation, llm-inference.
  • Also covers Inference & Serving.
  • Leaner open-issue backlog (6).

When NOT to use blast

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

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 · blast 776 (synced Jul 11, 2026).

Common questions

What is the difference between langchain and blast?
langchain: The agent engineering platform.. blast: Open-source VMs-as-a-service. See the comparison table for live GitHub stats and shared categories.
When should I choose langchain over blast?
Choose langchain over blast when 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, gemini, deepagents, generative-ai; * 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 blast over langchain?
Choose blast over langchain when Tags unique to blast: python, browser-automation, llm-inference; Also covers Inference & Serving; Leaner open-issue backlog (6).
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 blast?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is langchain or blast more popular on GitHub?
langchain has more GitHub stars (141,504 vs 776). Stars measure visibility, not whether either tool fits your constraints.
Are langchain and blast open source?
Yes - both are open-source projects on GitHub (langchain: MIT, blast: MIT).
Where can I find alternatives to langchain or blast?
GraphCanon lists graph-backed alternatives at langchain alternatives and blast alternatives (langchain markdown twin, blast 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 blast?
langchain: Very active. blast: Steady. 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 blast?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; blast trust report.