Keras Alternatives

Keras is a superb AI tool in the Developer Tools field.However, there are many other excellent options in the market. To help you find the solution that best fits your needs, we have carefully selected over 30 alternatives for you. Among these choices, DeepKE,Caffe and Genkit are the most commonly considered alternatives by users.

When choosing an Keras alternative, please pay special attention to their pricing, user experience, features, and support services. Each software has its unique strengths, so it's worth your time to compare them carefully according to your specific needs. Start exploring these alternatives now and find the software solution that's perfect for you.

Best Keras Alternatives in 2025

  1. DeepKE: Unified toolkit for high-precision Knowledge Extraction. Conquer low-resource, multimodal, & document-level data to build robust Knowledge Graphs.

  2. Caffe is a deep learning framework made with expression, speed, and modularity in mind.

  3. Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase.

  4. Run the top AI models using a simple API, pay per use. Low cost, scalable and production ready infrastructure.

  5. Streamline your AI development journey with KeaML - pre-configured environments, optimized resources, and collaborative tools. Experience seamless AI projects.

  6. KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.

  7. Supercharge your AI projects with DeepSpeed - the easy-to-use and powerful deep learning optimization software suite by Microsoft. Achieve unprecedented scale, speed, and efficiency in training and inference. Learn more about Microsoft's AI at Scale initiative here.

  8. Hyperpod: Transform your AI models into scalable APIs in minutes. Serverless deployment, intelligent auto-scaling, and no DevOps complexity.

  9. CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks

  10. An AI Cloud platform to rapidly scale the delivery of superhuman performing enterprise grade AI and ML solutions with UI and code interfaces.

  11. Krea AI Creative Suite empowers pros to instantly generate, enhance, and edit photorealistic images & videos. Ditch the "AI look" for stunning visuals.

  12. Unlock the power of distributed deep learning with Colossal-AI. Kickstart training and inference with user-friendly tools and parallelism strategies.

  13. DLRover simplifies large AI model training. Offers fault-tolerance, flash checkpoint, auto-scaling. Speeds up training with PyTorch & TensorFlow extensions.

  14. ONNX Runtime: Run ML models faster, anywhere. Accelerate inference & training across platforms. PyTorch, TensorFlow & more supported!

  15. Discover the power of TensorFlow - an open-source machine learning platform with versatile tools, extensive libraries, and a supportive community. Build and deploy machine learning models for image recognition, natural language processing, and predictive analytics.

  16. The vector database that extends the knowledge of Generative AI applications with contextual search at scale.

  17. AI Interpretability Research? Neuronpedia offers data, tools & open-source platform to understand neural networks. Explore now!

  18. Kiln simplifies custom AI model development. Zero-code fine-tuning, synthetic data & evaluation for teams. Build powerful, private AI faster.

  19. Kerno gives developers & AI agents real-time production context via eBPF. Ship code faster, reduce incidents, and improve AI code quality confidently.

  20. Activeloop-L0: Your AI Knowledge Agent for accurate, traceable insights from all multimodal enterprise data. Securely in your cloud, beyond RAG.

  21. scikit-learn: The essential Python toolkit for machine learning. Simple, powerful tools for predictive data analysis & building models.

  22. Neuralhub: Simplify AI development. Create, experiment, and innovate with neural networks. Collaborate, learn, and access resources in one platform.

  23. TensorZero: The open-source, unified LLMOps stack. Build & optimize production-grade LLM applications with high performance & confidence.

  24. Deeptrain is a multi-modal data connector for LLMs and AI agents. We help you source and integrate data that is not directly available and understandable by transformer models and AI.

  25. Power up your deep learning with the Microsoft Cognitive Toolkit (CNTK). Build models efficiently, optimize parameters, and save time with CNTK's automatic differentiation and distributed capabilities. Use it for image recognition, NLP, and machine translation.

  26. Embedchain: The open-source RAG framework to simplify building & deploying personalized LLM apps. Go from prototype to production with ease & control.

  27. Tersa is an open source canvas for building AI workflows. Drag, drop connect and run nodes to build your own workflows powered by various industry-leading AI models.

  28. an open-source library of hosted AI agents and tools that developers can easily integrate into their graph frameworks with a simple SDK or API call — accelerating development and deployment.

  29. Kestra: Open-source declarative orchestration. Simplify & unify all your workflows – data pipelines, infra, business – with unified UI & code.

  30. Meet Kira, an all-in-one platform empowering educators and students with engaging Computer Science and AI curriculum and teacher tools that are not just innovative, but highly impactful in the classroom.

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