MIT License

项目介绍

danielnsilva/semanticscholar 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 MIT License 许可证,目前获得 483 个 Star、53 次 Fork。

仓库全名
danielnsilva/semanticscholar
开源许可证
MIT License
Star 数
483
Fork 数
53

README 摘要

semanticscholar Unofficial Python client library for Semantic Scholar APIs. Main features Simplified access to the Semantic Scholar APIs Support for the Academic Graph, Recommendations, and Datasets APIs Typed responses Streamlined navigation of paginated responses Support for asynchronous requests Quickstart Installation See the install page for more detailed installation instructions. Usage Output: What next…

完整内容见 GitHub 原始 README 或本页 。

常见问题

semanticscholar 用什么语言开发?

主要使用 Python 编写,采用 MIT License 许可证,目前有 483 个 Star。

semanticscholar 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 semanticscholar 的源码?

可以直接克隆仓库:git clone https://github.com/danielnsilva/semanticscholar.git,默认分支为 master;安装与运行步骤见仓库 README。

semanticscholar 最近还在维护吗?

仓库最近一次更新为 8月1日,当前没有未关闭的 Issue;Star 数为 483,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Unofficial Python client library for Semantic Scholar APIs.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
596
价值分
306
活跃状态
活跃

语言占比

Python

Release

README

semanticscholar

Latest version PyPI - Downloads GitHub license Codacy grade Codacy coverage

Unofficial Python client library for Semantic Scholar APIs.

Main features

  • Simplified access to the Semantic Scholar APIs
  • Support for the Academic Graph, Recommendations, and Datasets APIs
  • Typed responses
  • Streamlined navigation of paginated responses
  • Support for asynchronous requests

Quickstart

Installation

pip install semanticscholar

See the install page for more detailed installation instructions.

Usage

# First, import the client from semanticscholar module
from semanticscholar import SemanticScholar

# You'll need an instance of the client to request data from the API
sch = SemanticScholar()

# Get a paper by its ID
paper = sch.get_paper('10.1093/mind/lix.236.433')

# Print the paper title
print(paper.title)

Output:

Computing Machinery and Intelligence

What next?

  • Usage - See additional examples to learn how to use the library to fetch data from Semantic Scholar APIs.
  • Reference - Get the details of the classes and methods available in the library.
  • API Endpoints - Check the supported SemanticScholar API endpoints and which methods implement them.

Semantic Scholar API official docs

If you have concerns or feedback specific to this library, feel free to open an issue. However, the official documentation provides additional resources for broader API-related issues.

Contributing

As a volunteer-maintained open-source project, contributions of all forms are welcome! For more information, see the Contributing Guidelines.

Please make sure to understand our Contributor Covenant Code of Conduct before you contribute. TL;DR: Be nice and respectful!

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