Comparison
caffe vs FATE
Verdict
Pick caffe if caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency; pick FATE if fATE is an industrial-grade framework for federated learning focused on privacy-preserving model training across single or multiple nodes.
Markdown twin · caffe alternatives · FATE alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | caffe | FATE |
|---|---|---|
| Maintenance | Dormant (732d since push) As of 3w · github_public_v1 | Dormant (623d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- caffe
- Caffe is a fast open framework for deep learning.
- FATE
- An Industrial Grade Federated Learning Framework
Stars
- caffe
- 35k
- FATE
- 6.1k
Forks
- caffe
- 18k
- FATE
- 1.6k
Open issues
- caffe
- 1.5k
- FATE
- 21
Language
- caffe
- C++
- FATE
- Python
Adopt for
- caffe
- Caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency.
- FATE
- FATE is an industrial-grade framework for federated learning focused on privacy-preserving model training across single or multiple nodes.
Persona
- caffe
- -
- FATE
- -
Runtime
- caffe
- -
- FATE
- -
License
- caffe
- Caffe is available under the BSD 2-Clause license.
- FATE
- Apache-2.0 License permits use, study, sharing, and modification with few conditions but no warranty given to users.
Last pushed
- caffe
- Jul 31, 2024
- FATE
- Nov 19, 2024
Categories
- caffe
- Computer Vision, Model Training
- FATE
- Model Training
Trust and health
Days since push
- caffe
- 732d
- FATE
- 623d
Open issues (now)
- caffe
- 1.5k
- FATE
- 21
Full report
- caffe
- Trust report
- FATE
- Trust report
Choose caffe if…
- caffe is primarily C++; FATE is Python.
- License: caffe is Other, FATE is Apache-2.0.
- Pricing: Free to use under open source licensing with no monetary charges..
- Tags unique to caffe: deep-learning, vision.
- Also covers Computer Vision.
- - You need a framework that supports high-performance convolutional networks particularly suited for image classification
When NOT to use caffe
- - Your primary task involves natural language processing rather than computer vision challenges, where specialized frameworks might outperform Caffe
- - You seek a framework that integrates seamlessly with Python for both training and inference, as Caffe relies heavily on C++ for its core operations
Choose FATE if…
- FATE is primarily Python; caffe is C++.
- License: FATE is Apache-2.0, caffe is Other.
- Tags unique to FATE: algorithm, fate, federated-learning, privacy-preserving.
- When needing secure multi-party computation to train machine-learning models across distributed data without sharing sensitive information
When NOT to use FATE
- In scenarios where the deployment complexity of cross-node communications is undesirable or exceeds resource capabilities
- If your project does not require federated learning's collaborative model training across disjoint data sets
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BVLC/caffe) · observed Aug 3, 2026
- GitHub forks (BVLC/caffe) · observed Aug 3, 2026
- Last push (BVLC/caffe) · observed Jul 31, 2024
- License file (Other) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (FederatedAI/FATE) · observed Aug 4, 2026
- GitHub forks (FederatedAI/FATE) · observed Aug 4, 2026
- Last push (FederatedAI/FATE) · observed Nov 19, 2024
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · FATE 6.1k (synced Aug 3, 2026).
Common questions
- What is the difference between caffe and FATE?
- caffe: Caffe is a fast open framework for deep learning.. FATE: An Industrial Grade Federated Learning Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose caffe over FATE?
- Choose caffe over FATE when caffe is primarily C++; FATE is Python; License: caffe is Other, FATE is Apache-2.0; Pricing: Free to use under open source licensing with no monetary charges.; Tags unique to caffe: deep-learning, vision; Also covers Computer Vision; - You need a framework that supports high-performance convolutional networks particularly suited for image classification.
- When should I choose FATE over caffe?
- Choose FATE over caffe when FATE is primarily Python; caffe is C++; License: FATE is Apache-2.0, caffe is Other; Tags unique to FATE: algorithm, fate, federated-learning, privacy-preserving; When needing secure multi-party computation to train machine-learning models across distributed data without sharing sensitive information.
- When should I avoid caffe?
- - Your primary task involves natural language processing rather than computer vision challenges, where specialized frameworks might outperform Caffe - You seek a framework that integrates seamlessly with Python for both training and inference, as Caffe relies heavily on C++ for its core operations
- When should I avoid FATE?
- In scenarios where the deployment complexity of cross-node communications is undesirable or exceeds resource capabilities If your project does not require federated learning's collaborative model training across disjoint data sets
- Is caffe or FATE more popular on GitHub?
- caffe has more GitHub stars (34,573 vs 6,089). Stars measure visibility, not whether either tool fits your constraints.
- Are caffe and FATE open source?
- Yes - both are open-source projects on GitHub (caffe: Other, FATE: Apache-2.0).
- Where can I find alternatives to caffe or FATE?
- GraphCanon lists graph-backed alternatives at caffe alternatives and FATE alternatives (caffe markdown twin, FATE 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, caffe or FATE?
- caffe: Dormant. FATE: Dormant. 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 caffe and FATE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; FATE trust report.