Home/Compare/awesome vs langchain_yt_tools

Comparison

awesome vs langchain_yt_tools

Verdict

Pick awesome when license: awesome is CC0-1.0, langchain_yt_tools is GPL-3.0; pick langchain_yt_tools when license: langchain_yt_tools is GPL-3.0, awesome is CC0-1.0.

Markdown twin · awesome alternatives · langchain_yt_tools alternatives

GraphCanon updated today

awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026
vs
langchain_yt_tools logo

langchain_yt_tools

venuv/langchain_yt_tools

76pushed Jun 28, 2023

Trust & integrity

Signalawesomelangchain_yt_tools
Maintenance
Active (11d since push)
As of today · github_public_v1
Dormant (1108d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No criticals
As of today · osv@v1

Tagline

awesome
😎 Curated list of awesome topics including hardware resources
langchain_yt_tools
Langchain tools to search/extract/transcribe text transcripts of Youtube videos. Some of this has been integrated into LangChain main branch

Stars

awesome
484k
langchain_yt_tools
76

Forks

awesome
36k
langchain_yt_tools
9

Open issues

awesome
92
langchain_yt_tools
0

Language

awesome
-
langchain_yt_tools
Python

Adopt for

awesome
-
langchain_yt_tools
-

Persona

awesome
-
langchain_yt_tools
-

Runtime

awesome
-
langchain_yt_tools
-

License

awesome
CC0-1.0
langchain_yt_tools
GPL-3.0

Last pushed

awesome
Jun 30, 2026
langchain_yt_tools
Jun 28, 2023

Categories

awesome
LLM Frameworks
langchain_yt_tools
LLM Frameworks

Trust and health

Maintenance

awesome
Active (82%)
langchain_yt_tools
Dormant (18%)

Days since push

awesome
11d
langchain_yt_tools
1108d

Open issues (now)

awesome
92
langchain_yt_tools
0

Security scan

awesome
No lockfile
langchain_yt_tools
No criticals

Full report

langchain_yt_tools
Trust report

Choose awesome if…

  • License: awesome is CC0-1.0, langchain_yt_tools is GPL-3.0.
  • Tags unique to awesome: resources, awesome-list.
  • More GitHub stars (484k vs 76) - 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.

Choose langchain_yt_tools if…

  • License: langchain_yt_tools is GPL-3.0, awesome is CC0-1.0.
  • Tags unique to langchain_yt_tools: python.
  • Leaner open-issue backlog (0).

When NOT to use langchain_yt_tools

  • Last GitHub push was 1109 days ago (dormant maintenance, Jun 28, 2023). Validate activity before betting a new project on langchain_yt_tools.
  • 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: awesome 484k · langchain_yt_tools 76 (synced Jul 11, 2026).

Common questions

What is the difference between awesome and langchain_yt_tools?
awesome: 😎 Curated list of awesome topics including hardware resources. langchain_yt_tools: Langchain tools to search/extract/transcribe text transcripts of Youtube videos. Some of this has been integrated into LangChain main branch. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome over langchain_yt_tools?
Choose awesome over langchain_yt_tools when License: awesome is CC0-1.0, langchain_yt_tools is GPL-3.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 76) - visibility, not fit.
When should I choose langchain_yt_tools over awesome?
Choose langchain_yt_tools over awesome when License: langchain_yt_tools is GPL-3.0, awesome is CC0-1.0; Tags unique to langchain_yt_tools: python; Leaner open-issue backlog (0).
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.
When should I avoid langchain_yt_tools?
Last GitHub push was 1109 days ago (dormant maintenance, Jun 28, 2023). Validate activity before betting a new project on langchain_yt_tools. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is awesome or langchain_yt_tools more popular on GitHub?
awesome has more GitHub stars (484,026 vs 76). Stars measure visibility, not whether either tool fits your constraints.
Are awesome and langchain_yt_tools open source?
Yes - both are open-source projects on GitHub (awesome: CC0-1.0, langchain_yt_tools: GPL-3.0).
Where can I find alternatives to awesome or langchain_yt_tools?
GraphCanon lists graph-backed alternatives at awesome alternatives and langchain_yt_tools alternatives (awesome markdown twin, langchain_yt_tools 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, awesome or langchain_yt_tools?
awesome: Active. langchain_yt_tools: Dormant. 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 awesome and langchain_yt_tools?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; langchain_yt_tools trust report.