Comparison
fauxpilot vs awesome-copilot
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.
Markdown twin · fauxpilot alternatives · awesome-copilot alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | fauxpilot | awesome-copilot |
|---|---|---|
| Maintenance | Dormant (845d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- fauxpilot
- An open-source alternative to GitHub Copilot server
- awesome-copilot
- Community-contributed extensions for GitHub Copilot
Stars
- fauxpilot
- 15k
- awesome-copilot
- 37k
Forks
- fauxpilot
- 641
- awesome-copilot
- 4.7k
Open issues
- fauxpilot
- 63
- awesome-copilot
- 75
Language
- fauxpilot
- Python
- awesome-copilot
- Python
Adopt for
- fauxpilot
- 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
- awesome-copilot offers community-built tools to expand the functionality of GitHub Copilot.
Persona
- fauxpilot
- -
- awesome-copilot
- -
Runtime
- fauxpilot
- -
- awesome-copilot
- -
License
- fauxpilot
- MIT
- awesome-copilot
- MIT
Last pushed
- fauxpilot
- Apr 9, 2024
- awesome-copilot
- Jul 27, 2026
Categories
- fauxpilot
- Developer Tools, Inference & Serving
- awesome-copilot
- AI Agents, Developer Tools
Trust and health
Maintenance
- fauxpilot
- Dormant (18%)
- awesome-copilot
- Very active (96%)
Days since push
- fauxpilot
- 845d
- awesome-copilot
- 0d
Open issues (now)
- fauxpilot
- 63
- awesome-copilot
- 75
Full report
- fauxpilot
- Trust report
- awesome-copilot
- Trust report
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.
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.
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 awesome-copilot
- If your project requires proprietary or highly confidential customizations
- In situations where standardized code generation is preferred over community-contributed configurations
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (fauxpilot/fauxpilot) · observed Aug 2, 2026
- GitHub forks (fauxpilot/fauxpilot) · observed Aug 2, 2026
- Last push (fauxpilot/fauxpilot) · observed Apr 9, 2024
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (github/awesome-copilot) · observed Jul 27, 2026
- GitHub forks (github/awesome-copilot) · observed Jul 27, 2026
- Last push (github/awesome-copilot) · observed Jul 27, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fauxpilot 15k · awesome-copilot 37k (synced Aug 2, 2026).
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
curlandzstdinstalled 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 and awesome-copilot alternatives (fauxpilot markdown twin, awesome-copilot markdown twin), 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 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; awesome-copilot trust report.