Comparison
google-research vs raft
Verdict
Pick google-research if popular for its research-grade projects hosted by Google Research, this repository offers diverse machine-learning datasets and source files under specific licenses; pick raft if rAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.
Markdown twin · google-research alternatives · raft alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | google-research | raft |
|---|---|---|
| Maintenance | Very active (6d since push) As of 2w · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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
- google-research
- Google Research Repository
- raft
- A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.
Stars
- google-research
- 38k
- raft
- 1.0k
Forks
- google-research
- 8.5k
- raft
- 248
Open issues
- google-research
- 2.0k
- raft
- 446
Language
- google-research
- Jupyter Notebook
- raft
- Cuda
Adopt for
- google-research
- Popular for its research-grade projects hosted by Google Research, this repository offers diverse machine-learning datasets and source files under specific licenses.
- raft
- RAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.
Persona
- google-research
- -
- raft
- -
Runtime
- google-research
- -
- raft
- -
License
- google-research
- Code is under Apache-2.0 license while datasets are released under CC BY 4.0 International license.
- raft
- Apache-2.0
Last pushed
- google-research
- Jul 30, 2026
- raft
- Aug 22, 2026
Categories
- google-research
- Data & Retrieval, Model Training
- raft
- Data & Retrieval, Model Training
Trust and health
Days since push
- google-research
- 6d
- raft
- 1d
Open issues (now)
- google-research
- 2.0k
- raft
- 446
Stars delta
- google-research
- Unknown
- raft
- +5 (30d)
Open issues delta
- google-research
- Unknown
- raft
- +2 (30d)
Full report
- google-research
- Trust report
- raft
- Trust report
Choose google-research if…
- google-research is primarily Jupyter Notebook; raft is Cuda.
- Requirements: Requires a working understanding of how to navigate large repositories and selectively clone desired subdirectories..
- Tags unique to google-research: ai, machine-learning, research.
- When you need access to high-quality machine learning datasets released under the CC BY 4.0 International license alongside Apache-2.0 licensed code from Google researchers.
When NOT to use google-research
- When the need is for simpler or more streamlined datasets that match different licensing needs apart from CC BY 4.0 International and Apache-2.0.
- If you require a repository with an official product-level support guarantee from Google, as this resource has explicitly declared itself as non-official.
Choose raft if…
- raft is primarily Cuda; google-research is Jupyter Notebook.
- 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 (google-research/google-research) · observed Aug 5, 2026
- GitHub forks (google-research/google-research) · observed Aug 5, 2026
- Last push (google-research/google-research) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 15, 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: google-research 38k · raft 1.0k (synced Aug 5, 2026).
Common questions
- What is the difference between google-research and raft?
- google-research: Google Research Repository. 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 google-research over raft?
- Choose google-research over raft when google-research is primarily Jupyter Notebook; raft is Cuda; Requirements: Requires a working understanding of how to navigate large repositories and selectively clone desired subdirectories.; Tags unique to google-research: ai, machine-learning, research; When you need access to high-quality machine learning datasets released under the CC BY 4.0 International license alongside Apache-2.0 licensed code from Google researchers.
- When should I choose raft over google-research?
- Choose raft over google-research when raft is primarily Cuda; google-research is Jupyter Notebook; 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 google-research?
- When the need is for simpler or more streamlined datasets that match different licensing needs apart from CC BY 4.0 International and Apache-2.0. If you require a repository with an official product-level support guarantee from Google, as this resource has explicitly declared itself as non-official.
- 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 google-research or raft more popular on GitHub?
- google-research has more GitHub stars (38,480 vs 1,036). Stars measure visibility, not whether either tool fits your constraints.
- Are google-research and raft open source?
- Yes - both are open-source projects on GitHub (google-research: Apache-2.0, raft: Apache-2.0).
- Where can I find alternatives to google-research or raft?
- GraphCanon lists graph-backed alternatives at google-research alternatives and raft alternatives (google-research 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, google-research or raft?
- google-research: 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 google-research and raft?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: google-research trust report; raft trust report.