Alternatives

Products that do what PYStreamAI does

Deploy ML inference with one line of code

1
Inferless▲749
Deploy any machine learning models in minutes
2025 · inferless.com
2
Banana▲235
Serverless GPUs for Machine Learning inference
2022
3
Algorithmia▲154
Automate DevOps for AI/ML with the AI Layer
2014
4WM
We made our own inference engine for Apple Silicon▲186
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
5
Evidently AI▲299
Open-source monitoring for machine learning models
2021
6
Plexe▲273
Build and deploy ML models in English
Oct 2025
7
Modelbit▲125
Heroku for Data Science, from the founders of Periscope Data
2023
8
Inference Engine by GMI Cloud▲180
Fast multimodal-native inference at scale
Dec 2025
9AC
Autograd.c – A tiny ML framework built from scratch▲85
built a tiny pytorch clone in c after going through prof. vijay janapa reddi's mlsys book: mlsysbook.ai/tinytorch/ perfect for learning how ml frameworks work under the hood :)
Dec 2025 · github.com
10
Comet.ml▲208
Automatically track machine learning code and experiments
2018
11FM
Fullstack ML – From Notebooks to Deployment▲198
2019 · github.com
12
Pretrained AI▲144
Integrate pretrained machine learning models in minutes.
2021
13IB
I built a toy TPU that can do inference and training on the XOR problem▲134
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com
14DM
Deploy ML Models on a Budget▲117
2021 · github.com
15
MTIA v2▲116
Meta training and inference accelerator
2024
16MZ
Model Zoo: Deploy your machine learning model in a single line of code▲34
2020 · modelzoo.dev
17
TensorFlow Lite▲163
Low-latency inference of on-device ML models
2017
18
integrate.ai▲80
Extend your product to train ML models on distributed data
2022
19
Layer AI▲124
Metadata store for production ML
2022
20
Seedream 4.5▲117
High-fidelity multi-image editing & dense text rendering
Dec 2025
21
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019
22
latch.ai▲84
Train, track and serve machine learning on the cloud.
2021
23
Monostate AItraining▲59
Fine-tuning, RL, and inference in one CLI
Dec 2025
24IR
Inferencer – Run and deeply control local AI models (macOS release)▲15
Private inference app that lets you see the token entropy, explore and change the token probabilities. Just released on macOS, iOS version next then other platforms. Here's a demo of it in action running DeepSeek Terminus: https://youtu.be/kts098EL2PQ Would love to hear any feedback or feature requests from the community.
Sep 2025 · inferencer.com

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