Comparison
langchain vs awesome
Verdict
Pick langchain when license: langchain is Other, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, langchain is Other.
Markdown twin · langchain alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | langchain | awesome |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- langchain
- Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- langchain
- 1.2k
- awesome
- 484k
Forks
- langchain
- 207
- awesome
- 36k
Open issues
- langchain
- 31
- awesome
- 92
Language
- langchain
- Elixir
- awesome
- -
Adopt for
- langchain
- -
- awesome
- -
Persona
- langchain
- -
- awesome
- -
Runtime
- langchain
- -
- awesome
- -
License
- langchain
- Other
- awesome
- CC0-1.0
Last pushed
- langchain
- Jul 9, 2026
- awesome
- Jun 30, 2026
Categories
- langchain
- LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- langchain
- Very active (96%)
- awesome
- Active (82%)
Days since push
- langchain
- 1d
- awesome
- 11d
Open issues (now)
- langchain
- 31
- awesome
- 92
Full report
- langchain
- Trust report
- awesome
- Trust report
Choose langchain if…
- License: langchain is Other, awesome is CC0-1.0.
- Tags unique to langchain: ai, anthropic, bumblebee, chatgpt.
- More recently updated (last pushed Jul 9, 2026).
When NOT to use langchain
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome if…
- License: awesome is CC0-1.0, langchain is Other.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 1.2k) - visibility, not fit.
When NOT to use awesome
- 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 (brainlid/langchain) · observed Jul 11, 2026
- GitHub forks (brainlid/langchain) · observed Jul 11, 2026
- Last push (brainlid/langchain) · observed Jul 9, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 1.2k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between langchain and awesome?
- langchain: Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over awesome?
- Choose langchain over awesome when License: langchain is Other, awesome is CC0-1.0; Tags unique to langchain: ai, anthropic, bumblebee, chatgpt; More recently updated (last pushed Jul 9, 2026).
- When should I choose awesome over langchain?
- Choose awesome over langchain when License: awesome is CC0-1.0, langchain is Other; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 1.2k) - visibility, not fit.
- When should I avoid langchain?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is langchain or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 1,178). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and awesome open source?
- Yes - both are open-source projects on GitHub (langchain: Other, awesome: CC0-1.0).
- Where can I find alternatives to langchain or awesome?
- GraphCanon lists graph-backed alternatives at langchain alternatives and awesome alternatives (langchain markdown twin, awesome 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 awesome?
- langchain: Very active. awesome: 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 awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; awesome trust report.