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Tools/StarCoder vs DeepSeek Coder
StarCoder

StarCoder

open-source-model
vs
DeepSeek Coder

DeepSeek Coder

open-source-model

StarCoder vs DeepSeek Coder — Comparison

Overview
What each tool does and who it's for

StarCoder

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

The model was trained on GitHub code as well as additional selected data sources such as Arxiv and Wikipedia. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. Here are some examples to get started with the model. You can find a script for fine-tuning in StarCoder2's GitHub repository. First, make sure to install transformers from source: The pretraining dataset of the model was filtered for permissive licenses and code with no license only. Nevertheless, the model can generate source code verbatim from the dataset. The code's license might require attribution and/or other specific requirements that must be respected. We provide a search index that let's you search through the pretraining data to identify where generated code came from and apply the proper attribution to your code. The model has been trained on source code from 600+ programming languages. The predominant language in source is English although other languages are also present. As such the model is capable to generate code snippets provided some context but the generated code is not guaranteed to work as intended. It can be inefficient, contain bugs or exploits. See the paper for an in-depth discussion of the model limitations. The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement here.

DeepSeek Coder

深度求索(DeepSeek),成立于2023年,专注于研究世界领先的通用人工智能底层模型与技术,挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源,深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型,如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代

Based on the limited social mentions provided, DeepSeek Coder appears to be gaining attention in the AI coding space, with multiple YouTube videos discussing the tool. However, the mentions lack detailed user feedback about specific strengths, weaknesses, or pricing experiences. One Reddit post mentions it alongside other AI coding tools like Claude Code and Aider in the context of observability and monitoring solutions. Without substantial user reviews or detailed social discussions, it's difficult to assess overall user sentiment, though the YouTube coverage suggests growing interest in the tool's capabilities.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
2,050
GitHub Stars
22,960
192
GitHub Forks
2,747
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

StarCoder

0% positive100% neutral0% negative

DeepSeek Coder

0% positive100% neutral0% negative
Pricing

StarCoder

tiered

DeepSeek Coder

Features

Only in StarCoder (6)

bigcode/the-stack-v2-train-full-ids💫 StarCoder2StarCoder 2 and The Stack v2: The Next GenerationEfficient Training of Language Models to Fill in the MiddleFlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessLongformer: The Long-Document Transformer
Developer Ecosystem
29
GitHub Repos
32
1,804
GitHub Followers
87,547
20
npm Packages
20
—
HuggingFace Models
40
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

StarCoder

No data yet

DeepSeek Coder

token usage (1)
Product Screenshots

StarCoder

StarCoder screenshot 1StarCoder screenshot 2

DeepSeek Coder

DeepSeek Coder screenshot 1
Company Intel
information technology & services
Industry
information technology & services
690
Employees
200
$395.7M
Funding
—
Series D
Stage
—
Supported Languages & Categories

StarCoder

AI/ML

DeepSeek Coder

深度求索AGI人工智能底层模型开源模型LLM
View StarCoder Profile View DeepSeek Coder Profile