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AI · alternatives · 2026

24 alternatives to Gradio 5.0

connect nodes to build AI pipelines, powered by Hugging Face

Gradio 5.0 is an open-source Python library for building and deploying web-based machine learning applications without requiring frontend coding skills. Users can create interactive interfaces for ML models in minutes… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Gradio 5.0 launched in 2024; newer entries below may have overtaken it.

  1. 1

    Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio

    2020 · github.com · its alternatives →

  2. 2

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  3. 3

    Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio

    2020 · github.com · its alternatives →

  4. 4GN

    TLDR: Gradio Notebook is a notebook component for generative AI that offers the fastest way to create a Hugging Face space (in < 10 lines of code), and a familiar notebook interface for interacting with any combination of text, image and audio models in a single space. Follow this Quickstart to create a gradio notebook for yourself: https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;lastmileai&#x2F;gradio-notebook-template Hi HN Community! I’m Sarmad, co-founder of LastMile AI, and today I’m excited to share Gradio Notebook, our latest open-source project in collaboration with Hugging Face.…

    2024 · its alternatives →

  5. 5

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  6. 6

    Hello! We just released freeact (https:&#x2F;&#x2F;github.com&#x2F;gradion-ai&#x2F;freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. By enabling agents to express their actions directly in code rather than through constrained formats like JSON, freeact provides a flexible and powerful approach to solving complex, open-ended problems that require dynamic solution paths. * Supports dynamic installation and utilization of Python packages at runtime * Agents learn from feedback and store successful code actions as…

    2025 · github.com · its alternatives →

  7. 7
    Miro AI▲492

    You and your team, supercharged

    2023 · miro.com · its alternatives →

  8. 8
    Agno▲326

    Build, run, and manage agent platforms. Contribute to agno-agi/agno development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  9. 9
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

  10. 10

    💥 Fast State-of-the-Art Tokenizers optimized for Research and Production - huggingface/tokenizers

    2020 · github.com · its alternatives →

  11. 11

    Full-Stack Platform for Training Small Language Models

    Jul 2026 · freesolo.co · its alternatives →

  12. 12

    Beautiful gradients for your next kickass project

    2018 · its alternatives →

  13. 13

    Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  14. 14

    Hey everyone, ML Blocks is a node-based workflow builder to create multi-modal AI workflows without writing any code. You connect blocks that call various visual models like GPT4v, Segment Anything, Dino etc. along with basic image processing blocks like resize, invert color, blur, crop, and several others. The idea is to make it easier to deploy multi-step image processing workflows, without needing to spin up endless custom OpenCV cloud functions to glue together AI models. Usually, even if you're using cloud inference servers like Replicate, you still need to write your own image…

    2024 · mlblocks.com · its alternatives →

  15. 15
    Aymo AI▲170

    All-in-one AI Platform for Teams

    Jul 2026 · aymo.ai · its alternatives →

  16. 16

    Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++&#x2F;CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…

    2025 · github.com · its alternatives →

  17. 17

    Generate gradients with your mood

    2023 · its alternatives →

  18. 18

    Neural Architecture Search Powered by Swarm Intelligence 🐜 - Pattio/DeepSwarm

    2019 · github.com · its alternatives →

  19. 19EW
  20. 20

    I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…

    2023 · waveworks.dk · its alternatives →

  21. 21

    Make machine learning work for you, not the other way around

    2022 · amazonasweb.ro · its alternatives →

  22. 22

    Hi HN, we’re Luke and Phillip, and we’re building Spice.ai OSS - a lightweight, portable data and AI engine and powered by Apache DataFusion & Ballista for SQL query, hybrid-search, and LLM-inference across disaggregated-storage used by enterprises like Barracuda Networks and Twilio. With v2.0, you can add a real-time analytics node to your operational database with high-throughput native CDC replication. We first introduced Spice [1] on HN in 2021 and re-launched it on HN [2] in 2024 re-built from the ground up in Rust. In 2025 we launched Spice Cayenne [5], our acceleration and query…

    2023 · spice.ai · its alternatives →

  23. 23

    Our team just published Geppetto. Geppetto is an open source Slack App to use ChatGPT inside your workspace. It is written in Python and super easy to tinker and fork: - GitHub: https:&#x2F;&#x2F;github.com&#x2F;Deeptechia&#x2F;geppetto - Our first public release: https:&#x2F;&#x2F;deeptechia.io&#x2F;blog&#x2F;geppetto-ai-companion-for-slack&#x2F;

    2024 · github.com · its alternatives →

  24. 24AM

    Hi all, I’m hacking on new features for the ClickHouse native client and wanted the same “just call the model” ergonomics JavaScript and Python now enjoy. It didn’t exist for modern C++, so I wrote one. ai‑sdk‑cpp (Apache‑2.0) gives you: - Unified calls to OpenAI (GPT‑4o) and Anthropic (Claude 3.5) with a single C++20 API. - Streaming, multi‑turn chat, error handling—all std::optional&#x2F;std::variant, no macros. - Tool calling (function‑calling) so the model can hit real APIs; sync or async, runs in parallel. The tricky bit: C++ still lacks real reflection, so mapping plain functions →…

    2025 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →