AI · alternatives · 2026
24 alternatives to Model Zoo
Deploy your machine learning model in a single line of code.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Model Zoo launched in 2020; newer entries below may have overtaken it.
- 1MZ
2020 · modelzoo.dev · its alternatives →
- 2
- 3DM
2021 · github.com · its alternatives →
- 4
- 5
- 6CM
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 →
- 7FL
I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
2023 · github.com · its alternatives →
- 8
- 9
ModelHub▲318The missing menu bar app for local LLMs on Mac.
May 2026 · studio.consciousengines.com · its alternatives →
- 10
Pre-trained computer vision models and public datasets
2021 · its alternatives →
- 11
- 12
- 13CR
The goal of Carton is to let you use a single interface to run any machine learning model from any programming language. It’s currently difficult to integrate models that use different technologies (e.g. TensorRT, Ludwig, TorchScript, JAX, GGML, etc) into your application, especially if you’re not using Python. Even if you learn the details of integrating each of these frameworks, running multiple frameworks in one process can cause hard-to-debug crashes. Ideally, the ML framework a model was developed in should just be an implementation detail. Carton lets you decouple your application from…
2023 · carton.run · its alternatives →
- 14ML
2021 · github.com · its alternatives →
- 15MM
Hi, I'm one of the project creators. MLEM is a tool that helps you deploy your ML models. It’s a Python library + Command line tool. 1. MLEM can package an ML model into a Docker image or a Python package, and deploy it to, for example, Heroku. 2. MLEM saves all model metadata to a human-readable text file: Python environment, model methods, model input & output data schema and more. 3. MLEM helps you turn your Git repository into a Model Registry with features like ML model lifecycle management. Our philosophy is that MLOps tools should be built using the Unix approach - each tool solves a…
2022 · its alternatives →
- 16
- 17GF
2020 · github.com · its alternatives →
- 18
Professional CAD platform + Text-to-CAD powered by ML
2025 · zoo.dev · its alternatives →
- 19
- 20CI
2021 · convect.ml · its alternatives →
- 21
- 22
- 23
- 24
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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 →