Top 10 Open Source Alternatives to GitHub Copilot in 2025

With the ever-evolving landscape of AI-driven coding assistants, 2025 brings a renewed focus on open-source alternatives to GitHub Copilot. Here are the top 10 open-source tools that stand out, offering unique features and capabilities for developers.

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1. FauxPilot

Description: FauxPilot is a project that aims to create a locally hosted, open-source alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models and NVIDIA's Triton Inference Server to provide code suggestions. It's designed to run entirely on your local machine for enhanced privacy and security.
Key Features:
Locally hosted, eliminating the need for an internet connection.
Uses SalesForce CodeGen models for code generation.
Employs NVIDIA's Triton Inference Server for model execution.
Offers a setup script for downloading and converting models.
Focuses on privacy and data security.
Data Points:
Model: SalesForce CodeGen
Inference Server: NVIDIA Triton
Hosting: Local machine
Privacy: High (no internet connection required)
Setup Complexity: Requires some technical knowledge (Docker, NVIDIA GPU with sufficient VRAM)
Explore FauxPilot

2. Tabby

Description: Tabby is a feature-rich, open-source AI coding assistant. It can be used as an extension in many IDEs, including Visual Studio Code. It is designed to be a self-hosted replacement for GitHub Copilot and can create code snippets from comments and contextual code.
Key Features:
Self-hosted, runs on your infrastructure.
Can create code snippets from comments and context.
Written in Rust, optimized for performance.
Customizable with several open-source LLMs (StarCoder, CodeLlama, DeepseekCode).
Allows for integration with your repository model for more context.
Data Points:
Primary Language: Rust
Hosting: Self-hosted
Customization: Supports multiple open-source LLMs
IDE Integration: Available as a VS Code extension and others.
Learn More About Tabby

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3. Codeium

Description: Codeium is a free AI-powered code acceleration toolkit. It is designed with in-house models and infrastructure rather than being just an API wrapper. It integrates seamlessly with many IDEs.
Key Features:
Autocomplete and search functionalities.
Generative code capabilities for faster coding.
Supports more than 70 programming languages.
Offers both single-line and multi-line code completions.
Includes an integrated IDE chat feature.
Data Points:
Model: In-house AI models.
Cost: Free.
IDE Integration: Seamless integration with popular IDEs.
Language Support: 70+ programming languages.
Check Out Codeium

4. SWE-kit

Description: SWE-Kit is an open-source, headless IDE designed for building custom AI coding agents. It includes features like LSPs, code indexing, and Code RAG and is designed to let you chat with the codebase and automate changes to GitHub.
Key Features:
Headless IDE with LSPs and Code RAG.
Can be used to build custom coding agents.
Integrations with GitHub, Jira, and Slack.
Can be used for chatting with codebases.
Compatible with major LLM frameworks.
Data Points:
Architecture: Headless IDE.
Integration: GitHub, Jira, Slack.
LLM Support: LangChain, CrewAI, Autogen, LlamaIndex.
Discover SWE-kit

5. Polycoder

Description: Polycoder is an open-source AI coding assistant developed by researchers. It is free, transparent, and designed for academic and experimental projects.
Key Features:
Free for all users.
Community-driven with active improvements.
Supports a range of languages, including niche ones like Haskell and Rust.
Suitable for both academic and experimental projects.
Focus on transparency and open-source collaboration.
Data Points:
Cost: Free.
Development: Community-driven.
Language Support: Wide range, including Haskell and Rust.
Learn About Polycoder

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6. StarCoder

Description: StarCoder is a code-focused Large Language Model (LLM) trained on a vast dataset of code in over 80 programming languages. It also includes Git commits, GitHub issues, and Jupyter notebooks.
Key Features:
Trained on over 80 programming languages.
Has a context length of over 8,000 tokens.
Two versions are available, Starcoder and Starcoder2.
Available in different sizes of 3B, 7B, and 15B parameters.
Suitable for use as an AI coding assistant.
Data Points:
Languages: 80+ programming languages.
Dataset: Trained on code, Git commits, issues, and notebooks.
Context Length: Over 8,000 tokens.
Explore StarCoder

7. Deepseek Coder

Description: Deepseek Coder is a series of code LLMs ranging in size from 1B to 33B parameters. It is trained from scratch on over 2T tokens, and it has shown exceptional performance when compared to proprietary LLMs.
Key Features:
Models ranging from 1B to 33B parameters.
Trained on over 2T tokens.
Exceptional performance comparable to proprietary models.
Trained in Chinese and English languages.
Offers both fast completion and complex task handling models.
Data Points:
Model Sizes: 1B to 33B parameters.
Training Data: Over 2T tokens.
Language Support: Chinese and English.
Check Out Deepseek Coder

8. CodeT5

Description: CodeT5 is an open-source, transformer-based model that excels at code summarization, generation, and bug fixing.
Key Features:
Based on the T5 model.
Can convert natural language to code and vice versa.
Actively improved by developers worldwide.
Free and open-source.
High bug detection accuracy.
Data Points:
Model: Transformer-based.
Cost: Free and Open-source.
Functionality: Code summarization, generation, bug fixing.
Learn About CodeT5

9. OpenHands (formerly OpenDevin)

Description: OpenHands is an open-source tool that combines natural language processing with coding automation to provide an all-in-one tool for developers.
Key Features:
Natural language coding for writing code by describing functionality.
Provides debugging assistance.
Automated documentation generation for projects.
Cross-platform integration.
Customizable AI behavior.
Data Points:
Cost: Open source and free to use.
Features: Natural language coding, debugging, documentation.
Platform: Cross-platform support.
Discover OpenHands

10. Aider

Description: Aider is an AI coding assistant that focuses on automating repetitive tasks and generating code quickly. It integrates with popular IDEs.
Key Features:
Code completion and generation.
Code generation from natural language descriptions.
Automated code refactoring.
Integrates with popular IDEs.
Focus on task automation and speed.
Data Points:
Functionality: Code completion, generation, refactoring.
Integration: Popular IDEs.
Primary Use: Automating repetitive tasks.
Explore Aider

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FAQ

1. What is FauxPilot and how does it work?

FauxPilot is a locally-hosted, open-source alternative to GitHub Copilot. It uses SalesForce CodeGen models and NVIDIA's Triton Inference Server to provide code suggestions, functioning entirely offline for enhanced privacy and security. Learn more about FauxPilot

2. Can Tabby be used with Visual Studio Code?

Yes, Tabby is an open-source AI coding assistant that can be used as an extension in Visual Studio Code, among other IDEs. It supports multiple open-source LLMs, providing code snippets from comments and contextual code. Discover Tabby

3. What makes Codeium unique among AI code assistants?

Codeium is a free AI-powered toolkit with in-house models, offering autocomplete and search capabilities, multi-line code completions, and an integrated IDE chat feature, supporting over 70 programming languages. Explore Codeium

4. What is SWE-Kit and what are its key features?

SWE-Kit is an open-source, headless IDE designed for custom AI coding agents, including LSPs, code indexing, and Code RAG. It integrates with GitHub, Jira, and Slack for codebase chatting and automation of changes. Learn more about SWE-Kit

5. Is Polycoder suitable for academic projects?

Yes, Polycoder is specifically designed for academic and experimental projects. It is a free, open-source AI coding assistant that supports a wide range of programming languages, including Haskell and Rust. Discover Polycoder

6. What programming languages does StarCoder support?

StarCoder is trained on a dataset of code in over 80 programming languages, including Git commits and GitHub issues. It is available in various sizes and versions, such as Starcoder and Starcoder2. Learn more about StarCoder

7. Which languages does Deepseek Coder support and how does it perform?

Deepseek Coder supports both Chinese and English languages, with models ranging from 1B to 33B parameters. It is trained on over 2T tokens, offering exceptional performance for both fast completion and complex tasks. Explore Deepseek Coder

8. What functionality does CodeT5 offer?

CodeT5 is an open-source, transformer-based model that excels at code summarization, generation, and bug fixing, supporting multiple programming languages. It boasts a high bug detection accuracy of 85%. Discover CodeT5

9. What is OpenHands and how does it benefit developers?

OpenHands combines natural language processing with coding automation, offering features like natural language coding, debugging assistance, and automated documentation generation. It is customizable and supports team collaboration. Learn more about OpenHands

10. How does Aider assist with coding tasks?

Aider focuses on automating repetitive tasks and generating code quickly, integrating with popular IDEs. It offers features like code completion, generation from natural language descriptions, and automated code refactoring. Explore Aider

About the Author

Violetta Bonenkamp, also known as MeanCEO, is an experienced startup founder with an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 5 years as a solopreneur and serial entrepreneur. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely.

Violetta is a true multiple specialist who has built expertise in Linguistics, Education, Business Management, Blockchain, Entrepreneurship, Intellectual Property, Game Design, AI, SEO, Digital Marketing, cyber security and zero code automations. Her extensive educational journey includes a Master of Arts in Linguistics and Education, an Advanced Master in Linguistics from Belgium (2006-2007), an MBA from Blekinge Institute of Technology in Sweden (2006-2008), and an Erasmus Mundus joint program European Master of Higher Education from universities in Norway, Finland, and Portugal (2009).

She is the founder of Fe/male Switch, a startup game that encourages women to enter STEM fields, and also leads CADChain, and multiple other projects like the Directory of 1,000 Startup Cities with a proprietary MeanCEO Index that ranks cities for female entrepreneurs. Violetta created the "gamepreneurship" methodology, which forms the scientific basis of her startup game. She also builds a lot of SEO tools for startups. Her achievements include being named one of the top 100 women in Europe by EU Startups in 2022 and being nominated for Impact Person of the year at the Dutch Blockchain Week. She is an author with Sifted and a speaker at different Universities. Recently she published a book on Startup Idea Validation the right way: from zero to first customers and beyond and launched a Directory of 1,500+ websites for startups to list themselves in order to gain traction and build backlinks.

For the past several years Violetta has been living between the Netherlands and Malta, while also regularly traveling to different destinations around the globe, usually due to her entrepreneurial activities. This has led her to start writing about different locations and amenities from the POV of an entrepreneur. Here’s her recent article about the best hotels in Italy to work from.

About the Publication

Fe/male Switch is an innovative startup platform designed to empower women entrepreneurs through an immersive, game-like experience. Founded in 2020 during the pandemic "without any funding and without any code," this non-profit initiative has evolved into a comprehensive educational tool for aspiring female entrepreneurs.The platform was co-founded by Violetta Shishkina-Bonenkamp, who serves as CEO and one of the lead authors of the Startup News branch.

Mission and Purpose

Fe/male Switch Foundation was created to address the gender gap in the tech and entrepreneurship space. The platform aims to skill-up future female tech leaders and empower them to create resilient and innovative tech startups through what they call "gamepreneurship". By putting players in a virtual startup village where they must survive and thrive, the startup game allows women to test their entrepreneurial abilities without financial risk.

Key Features

The platform offers a unique blend of news, resources,learning, networking, and practical application within a supportive, female-focused environment:

Skill Lab: Micro-modules covering essential startup skills
Virtual Startup Building: Create or join startups and tackle real-world challenges
AI Co-founder (PlayPal): Guides users through the startup process
SANDBOX: A testing environment for idea validation before launch
Wellness Integration: Virtual activities to balance work and self-care
Marketplace: Buy or sell expert sessions and tutorials

Impact and Growth

Since its inception, Fe/male Switch has shown impressive growth:

3,000+ female entrepreneurs in the community
100+ startup tools built
5,000+ pieces of articles and news written

Partnerships

Fe/male Switch has formed strategic partnerships to enhance its offerings. In January 2022, it teamed up with global website builder Tilda to provide free access to website building tools and mentorship services for Fe/male Switch participants.

Recognition

Fe/male Switch has received media attention for its innovative approach to closing the gender gap in tech entrepreneurship. The platform has been featured in various publications highlighting its unique "play to learn and earn" model.