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Comparison

caffe vs text2vec

Verdict

Pick caffe when caffe is primarily C++; text2vec is Python; pick text2vec when text2vec is primarily Python; caffe is C++.

Markdown twin · caffe alternatives · text2vec alternatives

GraphCanon updated today

caffe logo

caffe

BVLC/caffe

★ 35kpushed Jul 31, 2024
vs
text2vec logo

text2vec

shibing624/text2vec

★ 5.0kpushed Feb 14, 2026

Trust & integrity

Signalcaffetext2vec
Maintenance
Dormant (710d since push)
As of today · github_public_v1
Slowing (146d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization 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 lockfile
As of today · none
caffe trust reporttext2vec trust reportTrust methodology

Tagline

caffe
Caffe: a fast open framework for deep learning.
text2vec
文本向量表征工具，实现多种文本表征和相似度计算模型

Stars

caffe
35k
text2vec
5.0k

Forks

caffe
18k
text2vec
428

Open issues

caffe
1.2k
text2vec
7

Language

caffe
C++
text2vec
Python

Adopt for

caffe
-
text2vec
-

Persona

caffe
-
text2vec
-

Runtime

caffe
-
text2vec
-

License

caffe
Other
text2vec
Apache-2.0

Last pushed

caffe
Jul 31, 2024
text2vec
Feb 14, 2026

Categories

caffe
Computer Vision, Vector Databases
text2vec
Data & Retrieval, Model Training

Trust and health

Maintenance

caffe
Dormant (18%)
text2vec
Slowing (36%)

Days since push

caffe
710d
text2vec
146d

Open issues (now)

caffe
1.2k
text2vec
7

Owner type

caffe
Organization
text2vec
User

Full report

caffe
Trust report
text2vec
Trust report

Choose caffe if…

  • caffe is primarily C++; text2vec is Python.
  • License: caffe is Other, text2vec is Apache-2.0.
  • Tags unique to caffe: c++, deep-learning, machine-learning, vision.
  • Also covers Computer Vision, Vector Databases.

When NOT to use caffe

  • Last GitHub push was 710 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
GitHubDetails

Choose text2vec if…

  • text2vec is primarily Python; caffe is C++.
  • License: text2vec is Apache-2.0, caffe is Other.
  • Tags unique to text2vec: embeddings, nlp, sentence-embeddings, similarity.
  • Also covers Data & Retrieval, Model Training.

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.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Explore

caffe trust report →text2vec trust report →Computer Vision category →Vector Databases category →Data & Retrieval category →Model Training 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: caffe 35k · text2vec 5.0k (synced Jul 11, 2026).

Common questions

What is the difference between caffe and text2vec?
caffe: Caffe: a fast open framework for deep learning.. text2vec: 文本向量表征工具，实现多种文本表征和相似度计算模型. See the comparison table for live GitHub stats and shared categories.
When should I choose caffe over text2vec?
Choose caffe over text2vec when caffe is primarily C++; text2vec is Python; License: caffe is Other, text2vec is Apache-2.0; Tags unique to caffe: c++, deep-learning, machine-learning, vision; Also covers Computer Vision, Vector Databases.
When should I choose text2vec over caffe?
Choose text2vec over caffe when text2vec is primarily Python; caffe is C++; License: text2vec is Apache-2.0, caffe is Other; Tags unique to text2vec: embeddings, nlp, sentence-embeddings, similarity; Also covers Data & Retrieval, Model Training.
When should I avoid caffe?
Last GitHub push was 710 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe. 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 text2vec?
Last GitHub push was 147 days ago (slowing maintenance, Feb 14, 2026). Validate activity before betting a new project on text2vec. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is caffe or text2vec more popular on GitHub?
caffe has more GitHub stars (34,574 vs 4,971). Stars measure visibility, not whether either tool fits your constraints.
Are caffe and text2vec open source?
Yes - both are open-source projects on GitHub (caffe: Other, text2vec: Apache-2.0).
Where can I find alternatives to caffe or text2vec?
GraphCanon lists graph-backed alternatives at caffe alternatives and text2vec alternatives (caffe markdown twin, text2vec 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, caffe or text2vec?
caffe: Dormant. text2vec: Slowing. 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 caffe and text2vec?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; text2vec trust report.