# binary-husky/gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Repository: https://github.com/binary-husky/gpt_academic
Canonical: https://ross.abutalabs.com/products/gpt_academic
Homepage: https://github.com/binary-husky/gpt_academic/wiki/online
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: academic, chatglm-6b, chatgpt, large-language-models, gpt-4
Last push: 2026-01-25T12:33:10+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 64, release rhythm 28, longevity 90
- inputs: {"age_days": 1262, "days_push": 220, "days_rel": 622, "gap_med": 66, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 71245, forks 8320 (observed 2026-08-28T04:12:21.021964+00:00)

## What it is
GPT Academic is a self-hosted Python application providing a practical chat interface for LLMs like GPT, GLM, Qwen, DeepSeek, and Claude, with special optimizations for reading, polishing, and writing academic papers. It features a modular plugin system with custom shortcut buttons, PDF/LaTeX paper translation and summarization, parallel multi-model queries, local model support, and codebase analysis for Python and C++ projects.

## Use cases
- translate and summarize academic papers from PDF or LaTeX
- polish and proofread academic writing with an LLM
- chat with multiple LLM models in parallel and compare answers
- run a local LLM like ChatGLM with an academic-friendly interface
- analyze and explain a Python or C++ codebase with GPT
- add custom shortcut buttons and plugins for repetitive LLM tasks
- read research papers with AI assistance

## When to choose
- you are a researcher or student who frequently reads, translates, or writes papers
- you want one interface to query many LLM providers (OpenAI, Qwen, GLM, DeepSeek, Spark, Claude) side by side
- you need PDF/LaTeX-aware translation and summarization rather than plain chat
- you want a self-hosted, plugin-extensible LLM workbench

## When to avoid
- you need a simple general-purpose chatbot without academic tooling
- you want a lightweight library to embed LLM calls in your own code rather than a full application
- you require a production multi-tenant chat service for end users
- you cannot accept the GPL-3.0 license

## Facets
- artifact type: application
- maturity: active
- function: chat-interface, llm-inference, rag, prompt-engineering, plugin-system, gui, pdf, internationalization
- domain: large-language-models, education, developer-tools, pdf
- platform: python, cross-platform, self-hosted
- tags: academic-writing, paper-reading, latex, paper-translation, multi-llm, chatglm, polishing, gradio, natural-language-processing, docker, web-server

## Member repositories
- binary-husky/gpt_academic (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:21.021964+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:16:22.673931+00:00, confidence not recorded.
  - readme: https://github.com/binary-husky/gpt_academic (fetched 2026-08-28T04:12:21.021964+00:00, sha cc7c91ad7f3c)
  - homepage: https://github.com/binary-husky/gpt_academic/wiki/online (fetched 2026-08-28T17:50:28.257588+00:00, sha b6f9b36a01bb)
- Data as of 2026-08-30T08:39:29.467469+00:00.