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8 alternatives · updated Sep 2026

The best Apache SINGA alternatives in 2026

8 tools that do the job Apache SINGA does. Each one is measured against Apache SINGA on price, free plan and our rating, so you can see what you gain by switching.

Shortlist by what you need

Start here if you know why you are leaving Apache SINGA.

  1. Want the closest match?

    Caffe

    Most similar to Apache SINGA in what it does, its category and its price.

    Visit (opens Caffe in a new tab)

  2. Need a free plan?

    TensorFlow

    Has a free plan, rated 4.3 out of 5.

    Visit (opens TensorFlow in a new tab)

  3. Want the best rated?

    Gradio

    Rated 3.8 out of 5 in our review, against 3.6 for Apache SINGA.

    Visit (opens Gradio in a new tab)

At a glance

Green means better than Apache SINGA, red means worse. Prices are starting prices per month.

ToolOur ratingStarts atFree planBest forCompare
Apache SINGABaseline3.6FreeYesOpen-source distributed deep learning library - automatic gradient calculation and multi-GPU training, in real-world use at NUS, Alibaba, and Citigroup.
Caffe3.5−0.1FreeYesBerkeley's deep learning framework, still maintained in 2026 - built for expression, speed, and modularity, processing 60M+ images a day on GPU hardware.vs Apache SINGA
DeepDetect3.7+0.1FreeYesAn open-source deep learning REST API server, with a Docker-installable platform UI, Jupyter notebooks and GPU support for training and deployment.vs Apache SINGA
Konduit3.7+0.1Not listedNoRun PyTorch, TensorFlow, Keras and ONNX models wherever you need them - cloud, on-premise, edge or mobile - backed by the Eclipse Deeplearning4j ecosystem.vs Apache SINGA
Gradio3.8+0.2FreeYesPip install gradio, write a few lines of Python, get a shareable web UI for your ML model in minutes - no JavaScript, no CSS, deploy free to Hugging Face Spaces.vs Apache SINGA
AudioFlux3.1−0.5FreeYesAn open-source audio and music analysis library - spectrograms, feature extraction, and Music Information Retrieval - built for deep learning, signal processing, and pattern recognition. MIT licensed.vs Apache SINGA
Lightning AI3.7+0.1FreeYesBrowser-based platform from the PyTorch Lightning creators to code, train and serve AI models with multi-GPU supportvs Apache SINGA
AlbumentationsX3.6SameFreeYesCited in 2,270+ research papers and used in 40,000+ GitHub repos - the open-source image augmentation library behind winning solutions in 77 AI competitions, NumFOCUS-affiliated.vs Apache SINGA
TensorFlow4.3+0.7FreeYesGoogle's end-to-end machine learning platform, from tf.keras through to production MLOps.vs Apache SINGA

The alternatives in detail

In order of how closely each one matches Apache SINGA.

  1. Caffe

    3.5Free

    vs Apache SINGA−0.1

    Berkeley's deep learning framework, still maintained in 2026 - built for expression, speed, and modularity, processing 60M+ images a day on GPU hardware.

    • Deep learning framework for neural network design, training, and deployment
    • Built for expression, speed, and modularity
    • Handles image classification, fine-tuning, and feature extraction

    Still actively maintained despite predating the current AI boom by a decade

    A code library, not a hosted product - no dashboard or signup

    Visit Caffe (opens Caffe in a new tab)ReviewCompare with Apache SINGA

  2. DeepDetect

    3.7Free

    vs Apache SINGA+0.1

    An open-source deep learning REST API server, with a Docker-installable platform UI, Jupyter notebooks and GPU support for training and deployment.

    • Open-source deep learning REST API server
    • Portable Server component separate from the development Platform
    • Platform web UI with Jupyter notebooks

    Self-hosted, so models and data never leave your infrastructure

    You own the operations, GPU provisioning and upgrades

    Visit DeepDetect (opens DeepDetect in a new tab)ReviewCompare with Apache SINGA

  3. Konduit

    3.7Not listed

    vs Apache SINGA+0.1

    Run PyTorch, TensorFlow, Keras and ONNX models wherever you need them - cloud, on-premise, edge or mobile - backed by the Eclipse Deeplearning4j ecosystem.

    • Model deployment across cloud, on-premise, edge and mobile
    • Framework support: PyTorch, TensorFlow, Keras, ONNX
    • Konduit Serving for model-serving infrastructure

    Framework-agnostic - not locked to whatever one training framework a team uses

    Hybrid consulting model means full value likely requires a real services engagement

    Visit Konduit (opens Konduit in a new tab)ReviewCompare with Apache SINGA

  4. Gradio

    3.8Free

    vs Apache SINGA+0.2

    Pip install gradio, write a few lines of Python, get a shareable web UI for your ML model in minutes - no JavaScript, no CSS, deploy free to Hugging Face Spaces.

    • Build ML model web UIs in Python, no frontend code needed
    • 40+ input/output components across diverse data types
    • Instant shareable demo links

    Massive, proven adoption across the ML research and engineering community

    Requires basic Python programming knowledge

    Visit Gradio (opens Gradio in a new tab)ReviewCompare with Apache SINGA

  5. AudioFlux

    3.1Free

    vs Apache SINGA−0.5

    An open-source audio and music analysis library - spectrograms, feature extraction, and Music Information Retrieval - built for deep learning, signal processing, and pattern recognition. MIT licensed.

    • Spectrogram generation and transform operations
    • Comprehensive audio feature extraction
    • Music Information Retrieval (MIR) tools

    Genuinely free and open-source with a permissive license

    Requires programming knowledge - a library, not a point-and-click app

    Visit AudioFlux (opens AudioFlux in a new tab)ReviewCompare with Apache SINGA

  6. vs Apache SINGA+0.1

    Browser-based platform from the PyTorch Lightning creators to code, train and serve AI models with multi-GPU support.

    • Browser-based coding, training, and model serving with zero setup
    • Automatic checkpointing and multi-GPU distributed training
    • Built-in logging and training-progress visualization

    Automates the error-prone parts of distributed training (checkpointing, multi-GPU setup)

    Team pricing ($140/user/month) is a real cost for larger organizations

    Visit Lightning AI (opens Lightning AI in a new tab)ReviewCompare with Apache SINGA

  7. vs Apache SINGASame

    Cited in 2,270+ research papers and used in 40,000+ GitHub repos - the open-source image augmentation library behind winning solutions in 77 AI competitions, NumFOCUS-affiliated.

    • Multi-target augmentation - images, masks, bounding boxes, keypoints, 3D data
    • Reproducible public speed benchmarks
    • Used across 40,000+ public GitHub repositories

    Massive, verifiable real-world adoption and academic citation

    Requires Python/ML engineering knowledge to use

    Visit AlbumentationsX (opens AlbumentationsX in a new tab)ReviewCompare with Apache SINGA

  8. TensorFlow

    4.3Free

    vs Apache SINGA+0.7

    Google's end-to-end machine learning platform, from tf.keras through to production MLOps.

    • tf.keras high-level model API
    • tf.data input pipelines and TensorBoard visualisation
    • LiteRT for mobile and edge deployment

    One model deploys to server, phone, browser or embedded device

    PyTorch now leads the research community, so new work lands there first

    Visit TensorFlow (opens TensorFlow in a new tab)ReviewCompare with Apache SINGA

FAQ

Questions people ask

Is Apache SINGA free?

Apache SINGA has a free plan.

What is the best free alternative to Apache SINGA?

TensorFlow is the highest-rated alternative here with a free plan (4.3 out of 5). Other free options: Gradio, DeepDetect, Lightning AI.

How did you pick these alternatives?

We match tools on what they do, their category and their price, using the details in our directory. Ratings come from our reviews and reader reviews.