Comparison
lanarky vs gpt_academic
Verdict
Pick lanarky if lanarky is a deprecated Python library for building LLM microservices, built on FastAPI; pick gpt_academic if gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set.
Markdown twin · lanarky alternatives · gpt_academic alternatives
GraphCanon updated Sep 20, 2026
13views this month
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Trust & integrity
| Signal | lanarky | gpt_academic |
|---|---|---|
| Maintenance | Archived (804d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (235d 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 · Personal 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
- gpt_academic
- Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.
Stars
- lanarky
- 990
- gpt_academic
- 71k
Forks
- lanarky
- 76
- gpt_academic
- 8.3k
Open issues
- lanarky
- 10
- gpt_academic
- 332
Language
- lanarky
- Python
- gpt_academic
- Python
Adopt for
- lanarky
- Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI.
- gpt_academic
- gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set
Persona
- lanarky
- -
- gpt_academic
- -
Runtime
- lanarky
- -
- gpt_academic
- -
License
- lanarky
- Lanarky is distributed under the MIT License, allowing for broad usage and modification.
- gpt_academic
- GPL-3.0
Last pushed
- lanarky
- Jul 6, 2024
- gpt_academic
- Jan 25, 2026
Categories
- lanarky
- Inference & Serving, LLM Frameworks
- gpt_academic
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- lanarky
- Archived (8%)
- gpt_academic
- Slowing (36%)
Days since push
- lanarky
- 804d
- gpt_academic
- 235d
Archived on GitHub
- lanarky
- Yes
- gpt_academic
- No
Open issues (now)
- lanarky
- 10
- gpt_academic
- 332
Stars delta
- lanarky
- -2 (30d)
- gpt_academic
- +165 (30d)
Open issues delta
- lanarky
- +1 (30d)
- gpt_academic
- +2 (30d)
OSV dependency advisories
- lanarky
- No lockfile (source not queried)
- gpt_academic
- Published findings
Full report
- lanarky
- Trust report
- gpt_academic
- Trust report
Shared compatibility
- Python · lanarky: Python runtime · gpt_academic: Python runtime
Choose lanarky if…
- License: lanarky is MIT, gpt_academic is GPL-3.0.
- 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 gpt_academic if…
- License: gpt_academic is GPL-3.0, lanarky is MIT.
- Requirements: Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺.
- Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
- gpt_academic ships Docker support for self-hosted deployment.
- When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance.
When NOT to use gpt_academic
- If your project does not involve academic tasks such as paper reading, polishing, or writing.
- When you need a solution that does not support customization through plugins and buttons or does not offer deployment via Docker or Python.
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 (binary-husky/gpt_academic) · observed Sep 20, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Sep 20, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · 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 · gpt_academic 71k (synced Sep 20, 2026).
Common questions
- What is the difference between lanarky and gpt_academic?
- lanarky: A deprecated web framework for building LLM microservices. gpt_academic: Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.. See the comparison table for live GitHub stats and shared categories.
- When should I choose lanarky over gpt_academic?
- Choose lanarky over gpt_academic when License: lanarky is MIT, gpt_academic is GPL-3.0; 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 gpt_academic over lanarky?
- Choose gpt_academic over lanarky when License: gpt_academic is GPL-3.0, lanarky is MIT; Requirements: Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; gpt_academic ships Docker support for self-hosted deployment; When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance.
- 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 gpt_academic?
- If your project does not involve academic tasks such as paper reading, polishing, or writing. When you need a solution that does not support customization through plugins and buttons or does not offer deployment via Docker or Python.
- Is lanarky or gpt_academic more popular on GitHub?
- gpt_academic has more GitHub stars (71,361 vs 990). Stars measure visibility, not whether either tool fits your constraints.
- Are lanarky and gpt_academic open source?
- Yes - both are open-source projects on GitHub (lanarky: MIT, gpt_academic: GPL-3.0).
- Where can I find alternatives to lanarky or gpt_academic?
- GraphCanon lists graph-backed alternatives at lanarky alternatives and gpt_academic alternatives (lanarky markdown twin, gpt_academic 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 gpt_academic?
- lanarky: Archived. gpt_academic: Slowing. 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 gpt_academic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lanarky trust report; gpt_academic trust report.