--- title: "aquila vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-zai-org-chatglm-6b" tools: ["aquila-network-aquila", "zai-org-chatglm-6b"] --- # aquila vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick aquila when aquila is primarily HTML; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; aquila is HTML. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [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 [aquila's repository](https://github.com/Aquila-Network/aquila) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [aquila](/tools/aquila-network-aquila.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search. | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 379 | 41,035 | | Forks | 26 | 5,132 | | Open issues | 13 | 609 | | Language | HTML | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Computer Vision, Inference & Serving, Vector Databases | Data & Retrieval, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Days since push | 796d | 744d | | Open issues (now) | 13 | 609 | | Security scan | No lockfile | 75 low (75 low) | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Choose when ### Choose aquila if… - aquila is primarily HTML; ChatGLM-6B is Python. - Tags unique to aquila: approximate-nearest-neighbor-search, aquila, embedding, faiss. - Also covers Computer Vision, Inference & Serving. ### Choose ChatGLM-6B if… - ChatGLM-6B is primarily Python; aquila is HTML. - Tags unique to ChatGLM-6B: python. - Also covers Data & Retrieval, LLM Frameworks. ## When NOT to use aquila - Last GitHub push was 796 days ago (dormant maintenance, May 6, 2024). Validate activity before betting a new project on aquila. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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. ## Common questions ### What is the difference between aquila and ChatGLM-6B? aquila: An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.. 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 aquila over ChatGLM-6B? Choose aquila over ChatGLM-6B when aquila is primarily HTML; ChatGLM-6B is Python; Tags unique to aquila: approximate-nearest-neighbor-search, aquila, embedding, faiss; Also covers Computer Vision, Inference & Serving. ### When should I choose ChatGLM-6B over aquila? Choose ChatGLM-6B over aquila when ChatGLM-6B is primarily Python; aquila is HTML; Tags unique to ChatGLM-6B: python; Also covers Data & Retrieval, LLM Frameworks. ### When should I avoid aquila? Last GitHub push was 796 days ago (dormant maintenance, May 6, 2024). Validate activity before betting a new project on aquila. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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. 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 aquila or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and ChatGLM-6B open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/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/aquila-network-aquila-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, aquila or ChatGLM-6B? aquila: Dormant. 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 aquila and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aquila-network-aquila`](/api/graphcanon/graph?tool=aquila-network-aquila) - 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/_