deepseek-ai/awesome-deepseek-integration

Integrate the DeepSeek API into popular software

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Summary Information

Updated 33 minutes ago
Added to GitGenius on February 1st, 2025
Created on January 11th, 2024
Open Issues & Pull Requests: 141 (+0)
Number of forks: 4,240
Total Stargazers: 38,940 (+0)
Total Subscribers: 392 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.0 days
Mean response time: 148.0 days
90th percentile: 380.7 days
Tracked items: 173

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 9% of issues opened in the past year have been closed. Three people close 75% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 39
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 16 days
Stale 30+ days: 34
Stale 90+ days: 25

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

The awesome-deepseek-integration repository serves as a comprehensive curated collection of projects and tools that integrate the DeepSeek API into popular software platforms and development environments. The repository's primary purpose is to help developers discover and implement DeepSeek integrations across a wide variety of applications, from code editors to messaging platforms to specialized AI frameworks. Users can access the DeepSeek Open Platform to obtain API keys needed for these integrations.

The repository is organized into multiple categories reflecting different use cases and software types. These categories include applications, AI agent frameworks, data AI application frameworks, RAG frameworks, FHE frameworks, Solana frameworks, synthetic data curation tools, instant messaging application plugins, office add-ins, browser extensions, VS Code extensions, Visual Studio extensions, neovim extensions, JetBrains extensions, Discord bots, native AI code editors, Emacs integrations, security tools, providers, and other miscellaneous integrations. This extensive categorization demonstrates the breadth of DeepSeek integration possibilities across the software ecosystem.

The repository maintains multilingual documentation to serve a global audience, with README files available in English, Simplified Chinese, Traditional Chinese, Japanese, and Spanish. This localization effort reflects the project's international scope and accessibility focus.

The repository's classification spans multiple technology domains including APIs, SDKs, community contributions, development guides, AI integration, model deployment, deep learning, machine learning, frameworks, documentation, NLP frameworks, AI research resources, and development tools. This broad classification reflects how DeepSeek integration touches numerous aspects of modern software development.

These connections suggest that developers working on significant infrastructure and tooling projects are also contributing to the DeepSeek integration ecosystem, indicating the importance of DeepSeek API support across foundational development tools.

The repository functions as both a discovery resource and a community-driven index, enabling developers to find existing integrations relevant to their technology stack and contributing to the broader ecosystem of DeepSeek-enabled software solutions.