Home/Compare/text2vec vs ChatGLM-6B

Comparison

text2vec vs ChatGLM-6B

Verdict

Pick text2vec when tags unique to text2vec: text2vec, embeddings, nlp, sentence-embeddings; pick ChatGLM-6B when also covers LLM Frameworks, Data & Retrieval.

Markdown twin · text2vec alternatives · ChatGLM-6B alternatives

GraphCanon updated today

text2vec logo

text2vec

shibing624/text2vec

5.0kpushed Feb 14, 2026
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024

Trust & integrity

Signaltext2vecChatGLM-6B
Maintenance
Slowing (146d 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

Tagline

text2vec
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

text2vec
5.0k
ChatGLM-6B
41k

Forks

text2vec
428
ChatGLM-6B
5.1k

Open issues

text2vec
7
ChatGLM-6B
609

Language

text2vec
Python
ChatGLM-6B
Python

Adopt for

text2vec
-
ChatGLM-6B
-

Persona

text2vec
-
ChatGLM-6B
-

Runtime

text2vec
-
ChatGLM-6B
-

License

text2vec
Apache-2.0
ChatGLM-6B
Apache-2.0

Last pushed

text2vec
Feb 14, 2026
ChatGLM-6B
Jun 27, 2024

Categories

text2vec
Vector Databases
ChatGLM-6B
Vector Databases, LLM Frameworks, Data & Retrieval

Trust and health

Maintenance

text2vec
Slowing (36%)
ChatGLM-6B
Dormant (18%)

Days since push

text2vec
146d
ChatGLM-6B
744d

Open issues (now)

text2vec
7
ChatGLM-6B
609

Owner type

text2vec
User
ChatGLM-6B
Organization

Security scan

text2vec
No lockfile
ChatGLM-6B
75 low (75 low)

Full report

text2vec
Trust report
ChatGLM-6B
Trust report

Choose text2vec if…

  • Tags unique to text2vec: text2vec, embeddings, nlp, sentence-embeddings.
  • More recently updated (last pushed Feb 14, 2026).

When NOT to use text2vec

  • Last GitHub push was 147 days ago (slowing maintenance, Feb 14, 2026). Validate activity before betting a new project on text2vec.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose ChatGLM-6B if…

  • Also covers LLM Frameworks, Data & Retrieval.
  • More GitHub stars (41k vs 5.0k) - visibility, not fit.

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.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Explore

Sources

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

GitHub stars on cards: text2vec 5.0k · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between text2vec and ChatGLM-6B?
text2vec: text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。. 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 text2vec over ChatGLM-6B?
Choose text2vec over ChatGLM-6B when Tags unique to text2vec: text2vec, embeddings, nlp, sentence-embeddings; More recently updated (last pushed Feb 14, 2026).
When should I choose ChatGLM-6B over text2vec?
Choose ChatGLM-6B over text2vec when Also covers LLM Frameworks, Data & Retrieval; More GitHub stars (41k vs 5.0k) - visibility, not fit.
When should I avoid text2vec?
Last GitHub push was 147 days ago (slowing maintenance, Feb 14, 2026). Validate activity before betting a new project on text2vec. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Is text2vec or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 4,971). Stars measure visibility, not whether either tool fits your constraints.
Are text2vec and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub (text2vec: Apache-2.0, ChatGLM-6B: Apache-2.0).
Where can I find alternatives to text2vec or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at text2vec alternatives and ChatGLM-6B alternatives (text2vec 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, text2vec or ChatGLM-6B?
text2vec: Slowing. 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 text2vec and ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: text2vec trust report; ChatGLM-6B trust report.