AI · alternatives · 2026
24 alternatives to YoMo
The most lightweight AI inference
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. YoMo launched in 2021; newer entries below may have overtaken it.
- 1
TensorFlow 1.0▲820Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
- 2WM
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com · its alternatives →
- 3
Accelerating open machine learning research with Cloud TPUs
2017 · its alternatives →
- 4
TensorZero▲316Open-source stack for industrial-grade LLM applications
2025 · github.com · its alternatives →
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- 8YR
Jan 2026 · github.com · its alternatives →
- 9
Annot8▲140The fastest way to tag images for object detection datasets
2025 · apps.apple.com · its alternatives →
- 10
- 11TR
2018 · github.com · its alternatives →
- 12MB
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 →
- 13GT
Hi HN, In the past few years I've become more interested in machine learning. Since I'm sure the same is true for many here, I wanted to share this project I've been working on: glowstick uses type-directed metaprogramming to keep track of tensor shapes in Rust's type system and determine which operations are permitted or not at compile time. I find Rust has a lot of strengths when it comes to ML applications, but waiting until runtime to find shape related issues feels a bit strange since normally I don't run the code all that often while developing. Given Rust has fancy types available, I…
2025 · github.com · its alternatives →
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- 15SR
2024 · github.com · its alternatives →
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- 17TO
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:…
2024 · github.com · its alternatives →
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- 20PI
Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…
2023 · github.com · its alternatives →
- 21RF
Alternative to magic.h and infer. Zero dependencies. Fully extensible. Works in no_std, async, and embedded contexts.
2025 · crates.io · its alternatives →
- 22IB
I created vibescaffold.dev. It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan. It will generate all the documents necessary for AI coding agents to understand & iteratively execute on your vision. How it works: - Step 1: Define your product vision and MVP - Step 2: AI helps create technical architecture and data models - Step 3: Generate a staged development plan - Step 4: Create an AGENTS.md for automated workflows I've used AI coding tools for awhile. Before this workflow (and now, this tool), I kept getting "close but not quite" results…
Nov 2025 · vibescaffold.dev · its alternatives →
- 23
Build vision/YOLO models fast — without labelling data
2025 · its alternatives →
- 24YA
Hey HN — Been deep in vibe coding with AI tools like Cursor and Windsurf — but sometimes, AI edits don’t go as planned. You hit revert… and only some files roll back, or your repo ends up in a weird state. Especially messy when you’ve got multiple chats open and you're mid-flow. So I built YOYO — a lightweight version control layer for the fast, chaotic phase of coding where you're exploring, iterating, and letting AI throw stuff at your repo. It works across Cursor, Windsurf, and VSCode — wherever you’re coding with AI right now. Not trying to replace Git. Git’s great when you’re ready to…
2025 · runyoyo.com · 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 →