--- title: "lanarky vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ajndkr-lanarky-vs-zai-org-chatglm-6b" tools: ["ajndkr-lanarky", "zai-org-chatglm-6b"] --- # lanarky vs ChatGLM-6B *GraphCanon updated Sep 20, 2026* ## Verdict Pick lanarky if lanarky is a deprecated Python library for building LLM microservices, built on FastAPI; pick ChatGLM-6B if chatGLM-6B is an open-source bilingual dialogue language model with 6.2 billion parameters, optimized for Chinese and English conversations. It supports local deployment with model quantization and offers efficient fine-. [lanarky](https://lanarky.ajndkr.com/) reports 990 GitHub stars, 76 forks, and 10 open issues, last pushed Jul 6, 2024. [ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) has 41k stars, 5.1k forks, and 605 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [lanarky's repository](https://github.com/ajndkr/lanarky) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [lanarky](/tools/ajndkr-lanarky.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | A deprecated web framework for building LLM microservices | An Open Bilingual Dialogue Language Model | | Stars | 990 | 40,959 | | Forks | 76 | 5,101 | | Open issues | 10 | 605 | | Language | Python | Python | | Adopt for | Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI. | ChatGLM-6B is an open-source bilingual dialogue language model with 6.2 billion parameters, optimized for Chinese and English conversations. It supports local deployment with model quantization and offers efficient fine- | | Persona | - | - | | Runtime | - | - | | License | Lanarky is distributed under the MIT License, allowing for broad usage and modification. | Apache-2.0 license, allowing for both academic and free commercial use after registration. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lanarky](/tools/ajndkr-lanarky.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Dormant (18%) | | Days since push | 804d | 813d | | Archived on GitHub | Yes | No | | Open issues (now) | 10 | 605 | | Stars delta | -2 (30d) | -53 (30d) | | Open issues delta | +1 (30d) | -2 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/ajndkr-lanarky/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Shared compatibility - **Python**: [lanarky](/tools/ajndkr-lanarky.md) - Python runtime; [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) - Python runtime ## Decision facts: lanarky - **Pricing:** freemium - The library is free to use, but as it is deprecated, there is no paid support or updates available. - **Requirements:** Min 1 GB RAM; Lanarky requires Python and can be installed via pip. - **Adopt for:** Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI. - **License detail:** Lanarky is distributed under the MIT License, allowing for broad usage and modification. ## Decision facts: ChatGLM-6B - **Pricing:** freemium - The model weights are completely open for academic research and allow free commercial use after registration. - **Requirements:** Min 8 GB RAM; Local deployment requires a minimum of 6GB of VRAM in INT4 quantization level for inference and 7GB for fine-tuning. - **Adopt for:** ChatGLM-6B is an open-source bilingual dialogue language model with 6.2 billion parameters, optimized for Chinese and English conversations. It supports local deployment with model quantization and offers efficient fine- - **License detail:** Apache-2.0 license, allowing for both academic and free commercial use after registration. ## Choose when ### Choose lanarky if… - License: lanarky is MIT, ChatGLM-6B is Apache-2.0. - Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available.. - Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip.. - Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices. - Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility. ### Choose ChatGLM-6B if… - License: ChatGLM-6B is Apache-2.0, lanarky is MIT. - Pricing: The model weights are completely open for academic research and allow free commercial use after registration.. - Requirements: Min 8 GB RAM; Local deployment requires a minimum of 6GB of VRAM in INT4 quantization level for inference and 7GB for fine-tuning.. - Tags unique to ChatGLM-6B: bilingual, commercial-use, dialogue, fine-tuning. - Use ChatGLM-6B when you need a model that is optimized for both Chinese and English conversations, offering a bilingual capability that is particularly strong in these languages. ## When NOT to use lanarky - Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates. - Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies. ## When NOT to use ChatGLM-6B - Avoid using ChatGLM-6B if your project requires a model that supports languages other than Chinese and English, as it is specifically optimized for these two languages. - Do not use ChatGLM-6B if you need a model that is larger than 6.2 billion parameters, as it may not provide the depth of understanding or generation capabilities that larger models offer. ## Common questions ### What is the difference between lanarky and ChatGLM-6B? lanarky: A deprecated web framework for building LLM microservices. ChatGLM-6B: An Open Bilingual Dialogue Language Model. See the comparison table for live GitHub stats and shared categories. ### When should I choose lanarky over ChatGLM-6B? Choose lanarky over ChatGLM-6B when License: lanarky is MIT, ChatGLM-6B is Apache-2.0; Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available.; Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip.; Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices; Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility. ### When should I choose ChatGLM-6B over lanarky? Choose ChatGLM-6B over lanarky when License: ChatGLM-6B is Apache-2.0, lanarky is MIT; Pricing: The model weights are completely open for academic research and allow free commercial use after registration.; Requirements: Min 8 GB RAM; Local deployment requires a minimum of 6GB of VRAM in INT4 quantization level for inference and 7GB for fine-tuning.; Tags unique to ChatGLM-6B: bilingual, commercial-use, dialogue, fine-tuning; Use ChatGLM-6B when you need a model that is optimized for both Chinese and English conversations, offering a bilingual capability that is particularly strong in these languages. ### When should I avoid lanarky? Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates. Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies. ### When should I avoid ChatGLM-6B? Avoid using ChatGLM-6B if your project requires a model that supports languages other than Chinese and English, as it is specifically optimized for these two languages. Do not use ChatGLM-6B if you need a model that is larger than 6.2 billion parameters, as it may not provide the depth of understanding or generation capabilities that larger models offer. ### Is lanarky or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (40,959 vs 990). Stars measure visibility, not whether either tool fits your constraints. ### Are lanarky and ChatGLM-6B open source? Yes - both are open-source projects on GitHub (lanarky: MIT, ChatGLM-6B: Apache-2.0). ### Where can I find alternatives to lanarky or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [lanarky alternatives](/tools/ajndkr-lanarky/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([lanarky markdown twin](/tools/ajndkr-lanarky/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/ajndkr-lanarky-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, lanarky or ChatGLM-6B? lanarky: Archived. 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 lanarky and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lanarky trust report](/tools/ajndkr-lanarky/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ajndkr-lanarky`](/api/graphcanon/graph?tool=ajndkr-lanarky) - 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/_