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Framework for building applications with LLMs through composability
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Which is more popular?
Based on our record, LangChain seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | langchain.com | getshim.tech |
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What each product offers, as listed by its team.

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No features have been listed yet.
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
No analysis of shim-cli yet.
Walkthroughs and reviews on video.
LangChain for LLMs is... basically just an Ansible playbook
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using LangChain and shim-cli. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an... - Source: dev.to / over 2 years ago
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / over 2 years ago
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / over 2 years ago
Tracking shim-cli since Oct 2026.
When comparing LangChain and shim-cli, you can also consider the following products.

Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
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Superset is a platform that enables colleges to automate campus placements end-to-end, helps employers hire young talent from across colleges in the country, and empowers students to access opportunities democratically.
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Open-source LLM Observability for Developers
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Build and deploy LLM applications with confidence
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