3 open source alternatives to GitHub Copilot
AI pair programmer trained on public code. Here are the open source projects real teams use instead — ranked by fit, with honest pros and cons for each.
What people don't love about GitHub Copilot
- Code sent to Microsoft/OpenAI for completions.
- Subscription-only.
- Licensing questions around training data still unresolved for some teams.
Current GitHub Copilot pricing (for reference): Individual $10/month; Business $19/user/month.
Quick comparison
| Alternative | Best for | License | Self-host | Hosted cloud? |
|---|---|---|---|---|
|
Continue Open source alternative to GitHub Copilot — run any model. |
Keep using Copilot-style IDE assistance with any LLM of your choice. | Apache-2.0 | ★☆☆☆☆ | Self-host only |
|
Aider AI pair programming in your terminal. |
Terminal power users who want AI edits and auto-commits. | Apache-2.0 | ★☆☆☆☆ | Self-host only |
|
Tabby Self-hosted AI coding assistant you can run on your own GPU. |
Teams that need fully self-hosted completions on their own GPU. | Apache-2.0 (community) / commercial (enterprise) | ★★★☆☆ | Self-host only |
1. Continue — Keep using Copilot-style IDE assistance with any LLM of your choice.
Open source alternative to GitHub Copilot — run any model.
Strengths
- Works with VS Code and JetBrains IDEs.
- Bring your own model — OpenAI, Anthropic, Ollama, etc.
- Keeps code local — no required cloud.
Weaknesses
- Requires you to manage model access/keys.
- Cold-start setup takes effort compared to Copilot.
- Community plugins still stabilizing.
Continue homepage · Source on GitHub · GitHub Copilot vs Continue →
2. Aider — Terminal power users who want AI edits and auto-commits.
AI pair programming in your terminal.
Strengths
- Git-aware — edits files and commits for you.
- Works with any OpenAI-compatible model.
- Lightweight — runs as a CLI.
Weaknesses
- Terminal-based — no GUI for editors.
- Model API usage costs can climb on large repos.
- Not a code-completion tool (different UX from Copilot).
Aider homepage · Source on GitHub · GitHub Copilot vs Aider →
3. Tabby — Teams that need fully self-hosted completions on their own GPU.
Self-hosted AI coding assistant you can run on your own GPU.
Strengths
- Fully self-hosted code completion.
- VS Code, IntelliJ, vim extensions.
- Runs on consumer GPUs with quantized models.
Weaknesses
- GPU strongly recommended for good latency.
- Larger install footprint.
- Enterprise features gated.
Tabby homepage · Source on GitHub · GitHub Copilot vs Tabby →
Not what you're looking for?
Browse other tools in AI Coding Assistants, or check out open source projects by category on the full category index.
Recommended reading
When self-hosting goes wrong: seven failure modes and how to avoid them
An honest retrospective on the ways self-hosted setups break — not in theory, but in practice — and the small habits that prevent most of them.
Will the open source project you depend on still exist in three years?
Bus factor, maintainer burnout, funding models, and the signals that separate OSS projects that survive from those that quietly decay.
From SaaS to self-hosted: a 30-day migration playbook
A week-by-week plan to move one service off SaaS and onto your own server without breaking your team's workflow.