AI & LLMs
tesseract · Project Sketch
LLM application in AI & LLMs: C++, Apache-2.0, GitHub stars 77.3k
About this listing
- Role: LLM application for developers and small teams building AI prototypes
- Stack: C++; difficulty medium
- License: Apache-2.0 (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: pushed within 0 days
Problem: provides ready-made model access, prompt orchestration or retrieval layers, focused on Hacktoberfest. Audience: developers and small teams building AI prototypes. Stack & setup: C++, configure the endpoint and key, and watch token cost, rate limits and data-residency rules, difficulty medium. Difference: it ships under Apache-2.0 (permissive), which makes the licensing position relatively clear. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | Apache-2.0 |
|---|---|
| Primary language | C++ |
| Platform / topics | GitHub · hacktoberfest · lstm · machine-learning |
| GitHub stars | 77.3k |
| Last push | 2026-11-02 |
| Source | https://github.com/tesseract-ocr/tesseract |
| Homepage | https://tesseract-ocr.github.io/ |
| Docs | https://github.com/tesseract-ocr/tesseract#readme |
| Demo | https://tesseract-ocr.github.io/ |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件，共 9 个章节：
- 一句话定位
- 公开事实元数据（抓取时快照）
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | C++ |
|---|---|
| Platform / topics | hacktoberfest · lstm · machine-learning |
| License | Apache-2.0 |
FAQ
买到的是什么形式？
一份 Markdown 交付文件，含 9 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群 等），付款后生成带授权码的下载文件。
许可证是否允许商用？
元数据记录为 Apache-2.0；具体商用范围以原仓库 LICENSE 原文为准，本店不额外授予权利。
项目还在维护吗？
最近一次上游提交：2026-11-02，数据抓取时间 2026-11-04。
需要什么运行环境？
主要语言 C++；其余依赖以包内依赖清单为准。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| OpenMontage · 决策备忘卡 | ¥3.9 | AGPL-3.0 | 2026-11-03 |
| system_prompts_leaks · 导航评测卡 | ¥3.9 | CC0-1.0 | 2026-11-04 |
| generative-ai-for-beginners · 决策备忘卡 | ¥3.9 | MIT | 2026-11-02 |