Comparison
lanarky vs ChatGLM-6B
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-.
Markdown twin · lanarky alternatives · ChatGLM-6B alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | lanarky | ChatGLM-6B |
|---|---|---|
| Maintenance | Archived (804d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (813d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- lanarky
- A deprecated web framework for building LLM microservices
- ChatGLM-6B
- An Open Bilingual Dialogue Language Model
Stars
- lanarky
- 990
- ChatGLM-6B
- 41k
Forks
- lanarky
- 76
- ChatGLM-6B
- 5.1k
Open issues
- lanarky
- 10
- ChatGLM-6B
- 605
Language
- lanarky
- Python
- ChatGLM-6B
- Python
Adopt for
- lanarky
- Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI.
- ChatGLM-6B
- 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
- lanarky
- -
- ChatGLM-6B
- -
Runtime
- lanarky
- -
- ChatGLM-6B
- -
License
- lanarky
- Lanarky is distributed under the MIT License, allowing for broad usage and modification.
- ChatGLM-6B
- Apache-2.0 license, allowing for both academic and free commercial use after registration.
Last pushed
- lanarky
- Jul 6, 2024
- ChatGLM-6B
- Jun 27, 2024
Categories
- lanarky
- Inference & Serving, LLM Frameworks
- ChatGLM-6B
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- lanarky
- Archived (8%)
- ChatGLM-6B
- Dormant (18%)
Days since push
- lanarky
- 804d
- ChatGLM-6B
- 813d
Archived on GitHub
- lanarky
- Yes
- ChatGLM-6B
- No
Open issues (now)
- lanarky
- 10
- ChatGLM-6B
- 605
Stars delta
- lanarky
- -2 (30d)
- ChatGLM-6B
- -53 (30d)
Open issues delta
- lanarky
- +1 (30d)
- ChatGLM-6B
- -2 (30d)
Owner type
- lanarky
- User
- ChatGLM-6B
- Organization
OSV dependency advisories
- lanarky
- No lockfile (source not queried)
- ChatGLM-6B
- Published findings
Full report
- lanarky
- Trust report
- ChatGLM-6B
- Trust report
Shared compatibility
- Python · lanarky: Python runtime · ChatGLM-6B: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ajndkr/lanarky) · observed Sep 20, 2026
- GitHub forks (ajndkr/lanarky) · observed Sep 20, 2026
- Last push (ajndkr/lanarky) · observed Jul 6, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (zai-org/ChatGLM-6B) · observed Sep 20, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Sep 20, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: lanarky 990 · ChatGLM-6B 41k (synced Sep 20, 2026).
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 and ChatGLM-6B alternatives (lanarky 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, 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; ChatGLM-6B trust report.