AI · alternatives · 2026

24 alternatives to Spell Model Serving

Deploy, Track, and Monitor Machine Learning Models

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Spell Model Serving launched in 2020; newer entries below may have overtaken it.

1
Inferless▲749
Deploy any machine learning models in minutes
2025 · inferless.com · its alternatives →
2DM
Deploy ML Models on a Budget▲117
2021 · github.com · its alternatives →
3
iko.ai▲76
Train, track, deploy, & monitor your machine learning models
2021 · its alternatives →
4
Plexe▲273
Build and deploy ML models in English
Oct 2025 · plexe.ai · its alternatives →
5
KeaML Deployments▲96
Deploy machine learning models with one line of code
2023 · its alternatives →
6
Bodywork▲58
Deploy machine learning into production 🚀
2021 · its alternatives →
7
Cortex▲81
Deploy, manage, and scale machine learning applications
2019 · its alternatives →
8
Spell▲212
Deep Learning and AI accessible to everyone
2019 · its alternatives →
9ML
Machine learning automation from creating to using models in production▲72
2021 · github.com · its alternatives →
10MZ
Model Zoo: Deploy your machine learning model in a single line of code▲34
2020 · modelzoo.dev · its alternatives →
11
UbiOps▲111
AI Model Serving & Orchestration
2024 · ubiops.com · its alternatives →
12IT
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
13
Model Zoo▲74
Deploy your machine learning model in a single line of code.
2020 · its alternatives →
14
Seldon Deploy Advanced▲64
Industry leading MLOps platform for enterprises
2022 · its alternatives →
15
Banana▲235
Serverless GPUs for Machine Learning inference
2022 · its alternatives →
16CI
Convect – Instant Serverless Deployment of ML Models▲89
2021 · convect.ml · its alternatives →
17
Cargoship▲117
Curated open-source AI models for web developers
2023 · its alternatives →
18
Algorithmia▲154
Automate DevOps for AI/ML with the AI Layer
2014 · its alternatives →
19
Machine Box▲94
Run, deploy & scale state of the art machine learning tech
2017 · its alternatives →
20
Spell + Weights & Biases▲84
Accelerating deep learning experimentation
2019 · its alternatives →
21
Layer AI▲124
Metadata store for production ML
2022 · its alternatives →
22
Runway▲148
Machine learning for creators. Train custom AI models.
2020 · its alternatives →
23CM
Compile ML models into dependency-free source code for easy deployment▲37
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 →
24
Azure - Machine Learning▲81
Powerful cloud-based predictive analytics, ML as a Service
2014 · 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 →