Ivy Alternatives

Ivy is a superb AI tool in the Machine Learning 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, TensorFlow,ktransformers and Syntha AI are the most commonly considered alternatives by users.

When choosing an Ivy 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.

Pricing:

Best Ivy Alternatives in 2025

  1. 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.

  2. 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.

  3. AI-powered code converter! Translate across 61 languages in minutes. Bulk file conversions. Smart analysis. Privacy assured. Save time for developers.

  4. Metaflow is a human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science, ML, and AI.

  5. Stop wrestling with failures in production. Start testing, versioning, and monitoring your AI apps.

  6. Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.

  7. Langflow is an open-source Python framework for building multi-agent & RAG apps. With a visual IDE, free cloud service, and model agnostic design, it empowers developers and non-coders alike.

  8. DSPy - a Python framework for AI systems. Modular code instead of prompt engineering. Optimizers, open-source. Build Q&A systems, pipelines, & optimize LMs. Revolutionize your AI dev.

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

  10. Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.

  11. Ivie, the AI-driven tool, collects and analyzes qualitative data, helping over 100 product teams innovate user-centrically and streamlining the research process with its features.

  12. Ray

    Ray is the AI Compute Engine. It powers the world's top AI platforms, supports all AI/ML workloads, scales from laptop to thousands of GPUs, and is Python - native. Unlock AI potential with Ray!

  13. No More Hassle or Vendor Lock-In. ZenML integrates the entire ML workflow with a simple and accessible framework and dashboard.

  14. Get an AI-powered suite of developer tools to enhance your coding workflow. Supports all languages & offers custom tool pipelines. Try codefy.ai now!

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

  16. Simplify AI development with Kiln AI—effortless fine-tuning, synthetic data generation, and team collaboration. Boost efficiency for any project, no coding required!

  17. Run ML models with Carton - decouples ML frameworks, low overhead, platform support. Fast experimentation, deployment flexibility, custom ops, in-browser ML.

  18. AiPy: AI assistant using Python. Works with any LLM (GPT, local models). Automate tasks, analyze data, build apps. Open source!

  19. Enhanced ChatGPT Clone: Features OpenAI, GPT-4 Vision, Bing, Anthropic, OpenRouter, Google Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting.

  20. Ax

    Ax is the ultimate Typescript framework for building agents. Supports top LLMs, multi-modal, DSPy prompts. Build agents that collaborate. Future of LLM workflows.

  21. Find machine learning / AI research papers' implementation code directly on Google Search, ArXiv, Scholar, Twitter, Github, and more. Jump into code instantly with CatalyzeX's free browser extension.

  22. Taipy is an open-source Python library for building production-ready front-end & back-end in no time. No knowledge of web development is required!

  23. AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

  24. Build better models and generative AI apps on a unified, end-to-end,open source MLOps platform

  25. Aify is an open-source AI-native application framework and runtime that enables quick and easy devel

  26. Discover the power of Keras: an API designed for human beings. Reduce cognitive load, enhance speed, elegance, and deployability in Machine Learning apps.

  27. A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

  28. TitanML Enterprise Inference Stack enables businesses to build secure AI apps. Flexible deployment, high performance, extensive ecosystem. Compatibility with OpenAI APIs. Save up to 80% on costs.

  29. Whisper JAX: The fastest Whisper API available. Over 70x faster than PyTorch on an A100 GPU. Accurate transcription with a progress bar.

  30. Turn research papers into code. Search papers, have conversations, translate methods into Python, run examples, innovate faster with Cerelyze.

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