Comparison
LibreChat vs raft
Verdict
Pick LibreChat if libreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication; pick raft if rAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.
Markdown twin · LibreChat alternatives · raft alternatives
GraphCanon updated today
Trust & integrity
| Signal | LibreChat | raft |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of today · 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
- LibreChat
- Enhanced ChatGPT Clone with extensive features and integrations for self-hosting
- raft
- A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.
Stars
- LibreChat
- 41k
- raft
- 1.0k
Forks
- LibreChat
- 8.5k
- raft
- 248
Open issues
- LibreChat
- 625
- raft
- 446
Language
- LibreChat
- TypeScript
- raft
- Cuda
Adopt for
- LibreChat
- LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication.
- raft
- RAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.
Persona
- LibreChat
- -
- raft
- -
Runtime
- LibreChat
- -
- raft
- -
License
- LibreChat
- MIT
- raft
- Apache-2.0
Last pushed
- LibreChat
- Jul 25, 2026
- raft
- Aug 22, 2026
Categories
- LibreChat
- AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
- raft
- Data & Retrieval, Model Training
Trust and health
Days since push
- LibreChat
- 0d
- raft
- 1d
Open issues (now)
- LibreChat
- 625
- raft
- 446
Stars delta
- LibreChat
- Unknown
- raft
- +5 (30d)
Open issues delta
- LibreChat
- Unknown
- raft
- +2 (30d)
Owner type
- LibreChat
- User
- raft
- Organization
Full report
- LibreChat
- Trust report
- raft
- Trust report
Shared compatibility
- Python · LibreChat: Python runtime · raft: Python runtime
Choose LibreChat if…
- LibreChat is primarily TypeScript; raft is Cuda.
- License: LibreChat is MIT, raft is Apache-2.0.
- Tags unique to LibreChat: ai, anthropic, artifacts, aws.
- Also covers AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving.
- LibreChat ships Docker support for self-hosted deployment.
- Need to support multiple AI models and protocols in one tool
When NOT to use LibreChat
- Looking for a simpler solution with fewer configurability options
- Do not require extensive third-party service integrations or complex customizations
Choose raft if…
- raft is primarily Cuda; LibreChat is TypeScript.
- License: raft is Apache-2.0, LibreChat is MIT.
- Requirements: Ensure access to NVIDIA GPUs; Compatibility with CUDA is essential for utilizing the RAFT algorithms effectively.; The user must have familiarity or develop understanding of CUDA programming to optimize their application integration with RAFT..
- Tags unique to raft: anns, building-blocks, clustering, cuda.
- - You are developing on an NVIDIA GPU architecture and require optimized, CUDA-accelerated primitives.
When NOT to use raft
- - Your application does not have access to NVIDIA GPUs, as RAFT's algorithms leverage CUDA specifically for performance gains.
- - If your workload requires more generalized machine learning libraries without a dependency on GPU-accelerated primitives and you are working in a multi-platform or cross-vendor environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (danny-avila/LibreChat) · observed Jul 26, 2026
- GitHub forks (danny-avila/LibreChat) · observed Jul 26, 2026
- Last push (danny-avila/LibreChat) · observed Jul 25, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA/raft) · observed Aug 23, 2026
- GitHub forks (NVIDIA/raft) · observed Aug 23, 2026
- Last push (NVIDIA/raft) · observed Aug 22, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LibreChat 41k · raft 1.0k (synced Jul 26, 2026).
Common questions
- What is the difference between LibreChat and raft?
- LibreChat: Enhanced ChatGPT Clone with extensive features and integrations for self-hosting. raft: A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LibreChat over raft?
- Choose LibreChat over raft when LibreChat is primarily TypeScript; raft is Cuda; License: LibreChat is MIT, raft is Apache-2.0; Tags unique to LibreChat: ai, anthropic, artifacts, aws; Also covers AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving; LibreChat ships Docker support for self-hosted deployment; Need to support multiple AI models and protocols in one tool.
- When should I choose raft over LibreChat?
- Choose raft over LibreChat when raft is primarily Cuda; LibreChat is TypeScript; License: raft is Apache-2.0, LibreChat is MIT; Requirements: Ensure access to NVIDIA GPUs; Compatibility with CUDA is essential for utilizing the RAFT algorithms effectively.; The user must have familiarity or develop understanding of CUDA programming to optimize their application integration with RAFT.; Tags unique to raft: anns, building-blocks, clustering, cuda; - You are developing on an NVIDIA GPU architecture and require optimized, CUDA-accelerated primitives.
- When should I avoid LibreChat?
- Looking for a simpler solution with fewer configurability options Do not require extensive third-party service integrations or complex customizations
- When should I avoid raft?
- - Your application does not have access to NVIDIA GPUs, as RAFT's algorithms leverage CUDA specifically for performance gains. - If your workload requires more generalized machine learning libraries without a dependency on GPU-accelerated primitives and you are working in a multi-platform or cross-vendor environment.
- Is LibreChat or raft more popular on GitHub?
- LibreChat has more GitHub stars (41,282 vs 1,036). Stars measure visibility, not whether either tool fits your constraints.
- Are LibreChat and raft open source?
- Yes - both are open-source projects on GitHub (LibreChat: MIT, raft: Apache-2.0).
- Where can I find alternatives to LibreChat or raft?
- GraphCanon lists graph-backed alternatives at LibreChat alternatives and raft alternatives (LibreChat markdown twin, raft 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, LibreChat or raft?
- LibreChat: Very active. raft: 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 LibreChat and raft?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LibreChat trust report; raft trust report.