--- title: "fauxpilot vs awesome-copilot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fauxpilot-fauxpilot-vs-github-awesome-copilot" tools: ["fauxpilot-fauxpilot", "github-awesome-copilot"] --- # fauxpilot vs awesome-copilot *GraphCanon updated Aug 2, 2026* ## Verdict Pick fauxpilot if fauxPilot is an open-source alternative to GitHub Copilot, which uses NVIDIA's Triton Inference Server with the FasterTransformer backend to serve SalesForce CodeGen models locally; pick awesome-copilot if awesome-copilot offers community-built tools to expand the functionality of GitHub Copilot. [fauxpilot](https://github.com/fauxpilot/fauxpilot) reports 15k GitHub stars, 641 forks, and 63 open issues, last pushed Apr 9, 2024. [awesome-copilot](https://awesome-copilot.github.com/) has 37k stars, 4.7k forks, and 75 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [fauxpilot's repository](https://github.com/fauxpilot/fauxpilot) and [awesome-copilot's repository](https://github.com/github/awesome-copilot). | | [fauxpilot](/tools/fauxpilot-fauxpilot.md) | [awesome-copilot](/tools/github-awesome-copilot.md) | | --- | --- | --- | | Tagline | An open-source alternative to GitHub Copilot server | Community-contributed extensions for GitHub Copilot | | Stars | 14,713 | 37,101 | | Forks | 641 | 4,654 | | Open issues | 63 | 75 | | Language | Python | Python | | Adopt for | FauxPilot is an open-source alternative to GitHub Copilot, which uses NVIDIA's Triton Inference Server with the FasterTransformer backend to serve SalesForce CodeGen models locally. | awesome-copilot offers community-built tools to expand the functionality of GitHub Copilot. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Inference & Serving | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [fauxpilot](/tools/fauxpilot-fauxpilot.md) | [awesome-copilot](/tools/github-awesome-copilot.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 845d | 0d | | Open issues (now) | 63 | 75 | | Full report | [trust report](/tools/fauxpilot-fauxpilot/trust.md) | [trust report](/tools/github-awesome-copilot/trust.md) | ## Decision facts: fauxpilot - **Pricing:** freemium - FauxPilot is free to use under the MIT License. However, users will need to cover costs associated with running it on local hardware, including setting up Docker and having an NVIDIA GPU. - **Requirements:** Requires docker, docker-compose version >=1.28, an NVIDIA GPU with Compute Capability >=6.0 and sufficient VRAM for the selected model.; Users need to have `curl` and `zstd` installed on their systems for downloading models. - **Adopt for:** FauxPilot is an open-source alternative to GitHub Copilot, which uses NVIDIA's Triton Inference Server with the FasterTransformer backend to serve SalesForce CodeGen models locally. ## Decision facts: awesome-copilot - **Adopt for:** awesome-copilot offers community-built tools to expand the functionality of GitHub Copilot. ## Choose when ### Choose fauxpilot if… - Pricing: FauxPilot is free to use under the MIT License. However, users will need to cover costs associated with running it on local hardware, including setting up Docker and having an NVIDIA GPU.. - Requirements: Requires docker, docker-compose version >=1.28, an NVIDIA GPU with Compute Capability >=6.0 and sufficient VRAM for the selected model.; Users need to have `curl` and `zstd` installed on their systems for downloading models.. - Tags unique to fauxpilot: code generation, fastertransformer, github copilot alternative, nvidia triton inference server. - Also covers Inference & Serving. - You have access to a powerful GPU that meets or exceeds the required Compute Capability and VRAM for running the chosen model. ### Choose awesome-copilot if… - Tags unique to awesome-copilot: agent-skills, agents, ai, custom-agents. - Also covers AI Agents. - When you require additional skills or configurations not available in native GitHub Copilot offerings ## When NOT to use fauxpilot - If you lack the necessary hardware with the requisite GPU compute capability and VRAM to support running FauxPilot. - For users who do not have experience setting up Docker containers, NVIDIA's Triton Inference Server, or FasterTransformer backend as these are required for operation. - When formal support and warranty services are a requirement, given that FauxPilot offers no such guarantees. ## When NOT to use awesome-copilot - If your project requires proprietary or highly confidential customizations - In situations where standardized code generation is preferred over community-contributed configurations ## Common questions ### What is the difference between fauxpilot and awesome-copilot? fauxpilot: An open-source alternative to GitHub Copilot server. awesome-copilot: Community-contributed extensions for GitHub Copilot. See the comparison table for live GitHub stats and shared categories. ### When should I choose fauxpilot over awesome-copilot? Choose fauxpilot over awesome-copilot when Pricing: FauxPilot is free to use under the MIT License. However, users will need to cover costs associated with running it on local hardware, including setting up Docker and having an NVIDIA GPU.; Requirements: Requires docker, docker-compose version >=1.28, an NVIDIA GPU with Compute Capability >=6.0 and sufficient VRAM for the selected model.; Users need to have `curl` and `zstd` installed on their systems for downloading models.; Tags unique to fauxpilot: code generation, fastertransformer, github copilot alternative, nvidia triton inference server; Also covers Inference & Serving; You have access to a powerful GPU that meets or exceeds the required Compute Capability and VRAM for running the chosen model. ### When should I choose awesome-copilot over fauxpilot? Choose awesome-copilot over fauxpilot when Tags unique to awesome-copilot: agent-skills, agents, ai, custom-agents; Also covers AI Agents; When you require additional skills or configurations not available in native GitHub Copilot offerings. ### When should I avoid fauxpilot? If you lack the necessary hardware with the requisite GPU compute capability and VRAM to support running FauxPilot. For users who do not have experience setting up Docker containers, NVIDIA's Triton Inference Server, or FasterTransformer backend as these are required for operation. When formal support and warranty services are a requirement, given that FauxPilot offers no such guarantees. ### When should I avoid awesome-copilot? If your project requires proprietary or highly confidential customizations In situations where standardized code generation is preferred over community-contributed configurations ### Is fauxpilot or awesome-copilot more popular on GitHub? awesome-copilot has more GitHub stars (37,101 vs 14,713). Stars measure visibility, not whether either tool fits your constraints. ### Are fauxpilot and awesome-copilot open source? Yes - both are open-source projects on GitHub (fauxpilot: MIT, awesome-copilot: MIT). ### Where can I find alternatives to fauxpilot or awesome-copilot? GraphCanon lists graph-backed alternatives at [fauxpilot alternatives](/tools/fauxpilot-fauxpilot/alternatives) and [awesome-copilot alternatives](/tools/github-awesome-copilot/alternatives) ([fauxpilot markdown twin](/tools/fauxpilot-fauxpilot/alternatives.md), [awesome-copilot markdown twin](/tools/github-awesome-copilot/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/fauxpilot-fauxpilot-vs-github-awesome-copilot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, fauxpilot or awesome-copilot? fauxpilot: Dormant. awesome-copilot: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for fauxpilot and awesome-copilot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [fauxpilot trust report](/tools/fauxpilot-fauxpilot/trust); [awesome-copilot trust report](/tools/github-awesome-copilot/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fauxpilot-fauxpilot`](/api/graphcanon/graph?tool=fauxpilot-fauxpilot) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_