Comparison
onnx-mlir vs ChatGLM-6B
Verdict
Pick onnx-mlir when onnx-mlir is primarily C++; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; onnx-mlir is C++.
Markdown twin · onnx-mlir alternatives · ChatGLM-6B alternatives
GraphCanon updated today
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Trust & integrity
| Signal | onnx-mlir | ChatGLM-6B |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Dormant (744d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 3 low (3 low) As of today · osv@v1 | 75 low (75 low) As of today · osv@v1 |
Tagline
- onnx-mlir
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
- ChatGLM-6B
- ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Stars
- onnx-mlir
- 1.0k
- ChatGLM-6B
- 41k
Forks
- onnx-mlir
- 443
- ChatGLM-6B
- 5.1k
Open issues
- onnx-mlir
- 352
- ChatGLM-6B
- 609
Language
- onnx-mlir
- C++
- ChatGLM-6B
- Python
Adopt for
- onnx-mlir
- -
- ChatGLM-6B
- -
Persona
- onnx-mlir
- -
- ChatGLM-6B
- -
Runtime
- onnx-mlir
- -
- ChatGLM-6B
- -
License
- onnx-mlir
- Apache-2.0
- ChatGLM-6B
- Apache-2.0
Last pushed
- onnx-mlir
- Jul 10, 2026
- ChatGLM-6B
- Jun 27, 2024
Categories
- onnx-mlir
- Vector Databases, Computer Vision, Inference & Serving
- ChatGLM-6B
- Vector Databases, LLM Frameworks, Data & Retrieval
Trust and health
Maintenance
- onnx-mlir
- Very active (96%)
- ChatGLM-6B
- Dormant (18%)
Days since push
- onnx-mlir
- 1d
- ChatGLM-6B
- 744d
Open issues (now)
- onnx-mlir
- 352
- ChatGLM-6B
- 609
Security scan
- onnx-mlir
- 3 low (3 low)
- ChatGLM-6B
- 75 low (75 low)
Full report
- onnx-mlir
- Trust report
- ChatGLM-6B
- Trust report
Shared compatibility
- Python · onnx-mlir: Python runtime · ChatGLM-6B: Python runtime
Choose onnx-mlir if…
- onnx-mlir is primarily C++; ChatGLM-6B is Python.
- Tags unique to onnx-mlir: c++.
- Also covers Computer Vision, Inference & Serving.
When NOT to use onnx-mlir
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose ChatGLM-6B if…
- ChatGLM-6B is primarily Python; onnx-mlir is C++.
- Tags unique to ChatGLM-6B: python.
- Also covers LLM Frameworks, Data & Retrieval.
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 (onnx/onnx-mlir) · observed Jul 11, 2026
- GitHub forks (onnx/onnx-mlir) · observed Jul 11, 2026
- Last push (onnx/onnx-mlir) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: onnx-mlir 1.0k · ChatGLM-6B 41k (synced Jul 11, 2026).
Common questions
- What is the difference between onnx-mlir and ChatGLM-6B?
- onnx-mlir: Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure. 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 onnx-mlir over ChatGLM-6B?
- Choose onnx-mlir over ChatGLM-6B when onnx-mlir is primarily C++; ChatGLM-6B is Python; Tags unique to onnx-mlir: c++; Also covers Computer Vision, Inference & Serving.
- When should I choose ChatGLM-6B over onnx-mlir?
- Choose ChatGLM-6B over onnx-mlir when ChatGLM-6B is primarily Python; onnx-mlir is C++; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Data & Retrieval.
- When should I avoid onnx-mlir?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 onnx-mlir or ChatGLM-6B more popular on GitHub?
- ChatGLM-6B has more GitHub stars (41,035 vs 1,036). Stars measure visibility, not whether either tool fits your constraints.
- Are onnx-mlir and ChatGLM-6B open source?
- Yes - both are open-source projects on GitHub (onnx-mlir: Apache-2.0, ChatGLM-6B: Apache-2.0).
- Where can I find alternatives to onnx-mlir or ChatGLM-6B?
- GraphCanon lists graph-backed alternatives at onnx-mlir alternatives and ChatGLM-6B alternatives (onnx-mlir 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, onnx-mlir or ChatGLM-6B?
- onnx-mlir: Very 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 onnx-mlir and ChatGLM-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: onnx-mlir trust report; ChatGLM-6B trust report.