kalyanks-nlp/llm-engineer-toolkit

A curated list of 120+ LLM libraries category wise.

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Summary Information

Updated 55 minutes ago
Added to GitGenius on September 5th, 2026
Created on March 9th, 2025
Open Issues & Pull Requests: 16 (+0)
GitHub issues: Enabled
Number of forks: 1,683
Total Stargazers: 10,783 (+0)
Total Subscribers: 173 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.1 hours
Mean response time: 2.1 hours
90th percentile: 4.1 hours
Tracked items: 2

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Issue Activity (beta)

Open issues: 7
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 380 days
Stale 30+ days: 7
Stale 90+ days: 7

Recent activity

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

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Detailed Description

LLM Engineer Toolkit is a curated resource collection that organizes large language model libraries by category.

The project addresses the challenge of navigating the fragmented landscape of LLM-related tools and libraries. Rather than building new functionality, it takes a curation approach, gathering existing libraries and organizing them into logical categories to help engineers quickly locate relevant tools for their work.

This resource suits developers and engineers who are building with or around large language models and need a structured overview of available libraries. It works best as a reference during project planning or when evaluating which tools to integrate into an existing system. The toolkit's value lies in reducing the time spent searching across disparate sources for LLM-related packages.

The project maintains a straightforward structure focused on keeping the collection organized and accessible. Development activity centers on expanding and maintaining the categorized library listings to reflect the evolving ecosystem of LLM tools.