--- title: "NumKong vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ashvardanian-numkong-vs-zai-org-chatglm-6b" tools: ["ashvardanian-numkong", "zai-org-chatglm-6b"] --- # NumKong vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick NumKong when numKong is primarily C; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; NumKong is C. [NumKong](https://ashvardanian.com/posts/numkong) reports 1.8k GitHub stars, 124 forks, and 30 open issues, last pushed Jul 9, 2026. [ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) has 41k stars, 5.1k forks, and 609 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [NumKong's repository](https://github.com/ashvardanian/NumKong) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [NumKong](/tools/ashvardanian-numkong.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for P | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 1,845 | 41,035 | | Forks | 124 | 5,132 | | Open issues | 30 | 609 | | Language | C | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases, Evaluation & Observability | LLM Frameworks, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [NumKong](/tools/ashvardanian-numkong.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 744d | | Open issues (now) | 30 | 609 | | Owner type | User | Organization | | Security scan | No lockfile | 75 low (75 low) | | Full report | [trust report](/tools/ashvardanian-numkong/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Choose when ### Choose NumKong if… - NumKong is primarily C; ChatGLM-6B is Python. - Tags unique to NumKong: matrix-multiplication, assembly, blas, cpp. - Also covers Evaluation & Observability. ### Choose ChatGLM-6B if… - ChatGLM-6B is primarily Python; NumKong is C. - Tags unique to ChatGLM-6B: python. - Also covers LLM Frameworks. ## When NOT to use NumKong - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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. - 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between NumKong and ChatGLM-6B? NumKong: SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for P. 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 NumKong over ChatGLM-6B? Choose NumKong over ChatGLM-6B when NumKong is primarily C; ChatGLM-6B is Python; Tags unique to NumKong: matrix-multiplication, assembly, blas, cpp; Also covers Evaluation & Observability. ### When should I choose ChatGLM-6B over NumKong? Choose ChatGLM-6B over NumKong when ChatGLM-6B is primarily Python; NumKong is C; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks. ### When should I avoid NumKong? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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. 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is NumKong or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 1,845). Stars measure visibility, not whether either tool fits your constraints. ### Are NumKong and ChatGLM-6B open source? Yes - both are open-source projects on GitHub (NumKong: Apache-2.0, ChatGLM-6B: Apache-2.0). ### Where can I find alternatives to NumKong or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [NumKong alternatives](/tools/ashvardanian-numkong/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([NumKong markdown twin](/tools/ashvardanian-numkong/alternatives.md), [ChatGLM-6B markdown twin](/tools/zai-org-chatglm-6b/alternatives.md)), 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](/compare/ashvardanian-numkong-vs-zai-org-chatglm-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, NumKong or ChatGLM-6B? NumKong: 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 NumKong and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NumKong trust report](/tools/ashvardanian-numkong/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ashvardanian-numkong`](/api/graphcanon/graph?tool=ashvardanian-numkong) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_