--- title: "annyang vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/talater-annyang-vs-zai-org-chatglm-6b" tools: ["talater-annyang", "zai-org-chatglm-6b"] --- # annyang vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick annyang when annyang is primarily TypeScript; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; annyang is TypeScript. [annyang](https://www.talater.com/annyang/) reports 6.8k GitHub stars, 1.0k forks, and 10 open issues, last pushed Jun 11, 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 [annyang's repository](https://github.com/TalAter/annyang) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [annyang](/tools/talater-annyang.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | 💬 Speech recognition for your site | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 6,819 | 41,035 | | Forks | 1,049 | 5,132 | | Open issues | 10 | 609 | | Language | TypeScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Vector Databases, Speech & Audio | LLM Frameworks, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [annyang](/tools/talater-annyang.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 30d | 744d | | Open issues (now) | 10 | 609 | | Owner type | User | Organization | | Security scan | 2 low (2 low) | 75 low (75 low) | | Full report | [trust report](/tools/talater-annyang/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Choose when ### Choose annyang if… - annyang is primarily TypeScript; ChatGLM-6B is Python. - License: annyang is MIT, ChatGLM-6B is Apache-2.0. - Tags unique to annyang: speech, speech-to-text, voice, speech-recognition. - Also covers Speech & Audio. ### Choose ChatGLM-6B if… - ChatGLM-6B is primarily Python; annyang is TypeScript. - License: ChatGLM-6B is Apache-2.0, annyang is MIT. - Tags unique to ChatGLM-6B: python. - Also covers LLM Frameworks, Data & Retrieval. ## When NOT to use annyang - 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. - 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 annyang and ChatGLM-6B? annyang: 💬 Speech recognition for your site. 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 annyang over ChatGLM-6B? Choose annyang over ChatGLM-6B when annyang is primarily TypeScript; ChatGLM-6B is Python; License: annyang is MIT, ChatGLM-6B is Apache-2.0; Tags unique to annyang: speech, speech-to-text, voice, speech-recognition; Also covers Speech & Audio. ### When should I choose ChatGLM-6B over annyang? Choose ChatGLM-6B over annyang when ChatGLM-6B is primarily Python; annyang is TypeScript; License: ChatGLM-6B is Apache-2.0, annyang is MIT; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Data & Retrieval. ### When should I avoid annyang? 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. 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 annyang or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 6,819). Stars measure visibility, not whether either tool fits your constraints. ### Are annyang and ChatGLM-6B open source? Yes - both are open-source projects on GitHub (annyang: MIT, ChatGLM-6B: Apache-2.0). ### Where can I find alternatives to annyang or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [annyang alternatives](/tools/talater-annyang/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([annyang markdown twin](/tools/talater-annyang/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/talater-annyang-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, annyang or ChatGLM-6B? annyang: Steady. 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 annyang and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [annyang trust report](/tools/talater-annyang/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=talater-annyang`](/api/graphcanon/graph?tool=talater-annyang) - 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/_