Home/Compare/caffe vs Paddle

Comparison

caffe vs Paddle

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 Paddle if paddle excels in performance optimization for deep learning and machine-learning workflows, supporting efficient training across varying platforms.

Markdown twin · caffe alternatives · Paddle alternatives

GraphCanon updated 3w

caffe logo

caffe

BVLC/caffe

35kpushed Jul 31, 2024
vs
Paddle logo

Paddle

PaddlePaddle/Paddle

24kpushed Jul 31, 2026

Trust & integrity

SignalcaffePaddle
Maintenance
Dormant (732d since push)
As of 3w · github_public_v1
Very active (2d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · 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.
Paddle
High-performance single-machine and distributed deep learning & machine learning framework

Stars

caffe
35k
Paddle
24k

Forks

caffe
18k
Paddle
6.0k

Open issues

caffe
1.5k
Paddle
1.5k

Language

caffe
C++
Paddle
C++

Adopt for

caffe
Caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency.
Paddle
Paddle excels in performance optimization for deep learning and machine-learning workflows, supporting efficient training across varying platforms.

Persona

caffe
-
Paddle
-

Runtime

caffe
-
Paddle
-

License

caffe
Caffe is available under the BSD 2-Clause license.
Paddle
Apache-2.0

Last pushed

caffe
Jul 31, 2024
Paddle
Jul 31, 2026

Categories

caffe
Computer Vision, Model Training
Paddle
Model Training

Trust and health

Maintenance

caffe
Dormant (18%)
Paddle
Very active (96%)

Days since push

caffe
732d
Paddle
2d

Full report

Choose caffe if…

  • License: caffe is Other, Paddle is Apache-2.0.
  • Pricing: Free to use under open source licensing with no monetary charges..
  • Tags unique to caffe: 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 Paddle if…

  • License: Paddle is Apache-2.0, caffe is Other.
  • Tags unique to Paddle: distributed-training, efficiency, neural-network, paddlepaddle.
  • When you need a framework that supports both traditional machine learning and deep learning, optimized for performance

When NOT to use Paddle

  • If your project requires extensive GPU-acceleration features not as prominently featured in Paddle
  • When you prefer frameworks with more active community support and a larger set of pre-built models for various use cases

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 · Paddle 24k (synced Aug 3, 2026).

Common questions

What is the difference between caffe and Paddle?
caffe: Caffe is a fast open framework for deep learning.. Paddle: High-performance single-machine and distributed deep learning & machine learning framework. See the comparison table for live GitHub stats and shared categories.
When should I choose caffe over Paddle?
Choose caffe over Paddle when License: caffe is Other, Paddle is Apache-2.0; Pricing: Free to use under open source licensing with no monetary charges.; Tags unique to caffe: vision; Also covers Computer Vision; - You need a framework that supports high-performance convolutional networks particularly suited for image classification.
When should I choose Paddle over caffe?
Choose Paddle over caffe when License: Paddle is Apache-2.0, caffe is Other; Tags unique to Paddle: distributed-training, efficiency, neural-network, paddlepaddle; When you need a framework that supports both traditional machine learning and deep learning, optimized for performance.
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 Paddle?
If your project requires extensive GPU-acceleration features not as prominently featured in Paddle When you prefer frameworks with more active community support and a larger set of pre-built models for various use cases
Is caffe or Paddle more popular on GitHub?
caffe has more GitHub stars (34,573 vs 24,040). Stars measure visibility, not whether either tool fits your constraints.
Are caffe and Paddle open source?
Yes - both are open-source projects on GitHub (caffe: Other, Paddle: Apache-2.0).
Where can I find alternatives to caffe or Paddle?
GraphCanon lists graph-backed alternatives at caffe alternatives and Paddle alternatives (caffe markdown twin, Paddle 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 Paddle?
caffe: Dormant. Paddle: 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 caffe and Paddle?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caffe trust report; Paddle trust report.

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