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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llm Tools
  5. DeepSeek Coder vs LangChain

DeepSeek Coder vs LangChain

OverviewComparisonAlternatives

Overview

LangChain
LangChain
Stacks807
Followers136
Votes1
DeepSeek Coder
DeepSeek Coder
Stacks13
Followers7
Votes0
GitHub Stars22.3K
Forks2.6K

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Detailed Comparison

LangChain
LangChain
DeepSeek Coder
DeepSeek Coder

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language. There are various sizes of the code model, ranging from 1B to 33B versions.

Prompt management; Prompt optimization; Provides a standard interface for chains; Summarization
Massive training data; Highly flexible & scalable; Superior model performance; Advanced code completion capabilities
Statistics
GitHub Stars
-
GitHub Stars
22.3K
GitHub Forks
-
GitHub Forks
2.6K
Stacks
807
Stacks
13
Followers
136
Followers
7
Votes
1
Votes
0
Integrations
Gitbook
Gitbook
Amazon S3
Amazon S3
Elasticsearch
Elasticsearch
Obsidian
Obsidian
Notion
Notion
Cohere
Cohere
OpenAI
OpenAI
Google Cloud Storage
Google Cloud Storage
Google Drive
Google Drive
Read the Docs
Read the Docs
Hugging Face
Hugging Face

What are some alternatives to LangChain, DeepSeek Coder?

Grok-1

Grok-1

It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.

Clever AI Humanizer

Clever AI Humanizer

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

Google Gemini

Google Gemini

It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.

Ollama

Ollama

It allows you to run open-source large language models, such as Llama 2, locally.

LLaMA

LLaMA

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

LlamaIndex

LlamaIndex

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

Whisper

Whisper

It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

LangGraph

LangGraph

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

LangSmith

LangSmith

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

Grok 4

Grok 4

Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis.

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