GraphCanon
Home/Compare/awesome vs ChatGLM-6B

Comparison

awesome vs ChatGLM-6B

Verdict

Pick awesome when license: awesome is CC0-1.0, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, awesome is CC0-1.0.

Markdown twin · awesome alternatives · ChatGLM-6B alternatives

GraphCanon updated today

awesome logo

awesome

sindresorhus/awesome

★ 484kpushed Jun 30, 2026
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

★ 41kpushed Jun 27, 2024

Trust & integrity

SignalawesomeChatGLM-6B
Maintenance
Active (11d since push)
As of today · github_public_v1
Dormant (744d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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
75 low (75 low)
As of today · osv@v1
awesome trust reportChatGLM-6B trust reportTrust methodology

Tagline

awesome
😎 Curated list of awesome topics including hardware resources
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

awesome
484k
ChatGLM-6B
41k

Forks

awesome
36k
ChatGLM-6B
5.1k

Open issues

awesome
92
ChatGLM-6B
609

Language

awesome
-
ChatGLM-6B
Python

Adopt for

awesome
-
ChatGLM-6B
-

Persona

awesome
-
ChatGLM-6B
-

Runtime

awesome
-
ChatGLM-6B
-

License

awesome
CC0-1.0
ChatGLM-6B
Apache-2.0

Last pushed

awesome
Jun 30, 2026
ChatGLM-6B
Jun 27, 2024

Categories

awesome
LLM Frameworks
ChatGLM-6B
Data & Retrieval, LLM Frameworks, Vector Databases

Trust and health

Maintenance

awesome
Active (82%)
ChatGLM-6B
Dormant (18%)

Days since push

awesome
11d
ChatGLM-6B
744d

Open issues (now)

awesome
92
ChatGLM-6B
609

Owner type

awesome
User
ChatGLM-6B
Organization

Security scan

awesome
No lockfile
ChatGLM-6B
75 low (75 low)

Full report

awesome
Trust report
ChatGLM-6B
Trust report

Choose awesome if…

  • License: awesome is CC0-1.0, ChatGLM-6B is Apache-2.0.
  • Tags unique to awesome: awesome-list, resources.
  • More GitHub stars (484k vs 41k) - 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.
GitHubDetails

Choose ChatGLM-6B if…

  • License: ChatGLM-6B is Apache-2.0, awesome is CC0-1.0.
  • Tags unique to ChatGLM-6B: python.
  • Also covers Data & Retrieval, Vector Databases.

When NOT to use ChatGLM-6B

  • Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
GitHubDetails

Explore

awesome trust report →ChatGLM-6B trust report →LLM Frameworks category →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

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 · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between awesome and ChatGLM-6B?
awesome: 😎 Curated list of awesome topics including hardware resources. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome over ChatGLM-6B?
Choose awesome over ChatGLM-6B when License: awesome is CC0-1.0, ChatGLM-6B is Apache-2.0; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 41k) - visibility, not fit.
When should I choose ChatGLM-6B over awesome?
Choose ChatGLM-6B over awesome when License: ChatGLM-6B is Apache-2.0, awesome is CC0-1.0; Tags unique to ChatGLM-6B: python; Also covers Data & Retrieval, Vector Databases.
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 ChatGLM-6B?
Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is awesome or ChatGLM-6B more popular on GitHub?
awesome has more GitHub stars (484,026 vs 41,035). Stars measure visibility, not whether either tool fits your constraints.
Are awesome and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub (awesome: CC0-1.0, ChatGLM-6B: Apache-2.0).
Where can I find alternatives to awesome or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at awesome alternatives and ChatGLM-6B alternatives (awesome markdown twin, ChatGLM-6B 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 ChatGLM-6B?
awesome: Active. ChatGLM-6B: 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 ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; ChatGLM-6B trust report.