Home/Compare/caffe vs FATE

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

caffe logo

caffe

BVLC/caffe

35kpushed Jul 31, 2024
vs
FATE logo

FATE

FederatedAI/FATE

6.1kpushed Nov 19, 2024

Trust & integrity

SignalcaffeFATE
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

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 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.

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