AI · alternatives · 2026

24 alternatives to voltaML

Accelerate your ML/DL models in production by upto 10X.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. voltaML launched in 2022; newer entries below may have overtaken it.

1
StackML▲252
Machine Learning platform in-browser, for creators
2019 · its alternatives →
2
Comet.ml▲208
Automatically track machine learning code and experiments
2018 · comet.com · its alternatives →
3
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020 · obviously.ai · its alternatives →
4
Igel – A CLI tool to run machine learning without writing code▲405
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
5
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
6
OrchestraML▲82
From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app · its alternatives →
7
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
8
FiftyOne▲75
Accelerate your machine learning experimentation
2020 · docs.voxel51.com · its alternatives →
9
Google CLOUD AUTOML▲93
Train custom ML models with minimum effort and expertise
2018 · cloud.google.com · its alternatives →
10
FastML▲11
Ship Machine Learning Pipelines. Fast.
2024 · its alternatives →
11HP
High-performance ahead-of-time compiler for Machine Learning▲83
2018 · scss.tcd.ie · its alternatives →
12
Gradient▲85
ML-Powered Databricks Cluster Optimization for All
2023 · capitalonesoftware.com · its alternatives →
13
Web App with GUI for AutoML on Tabular Data▲41
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app
2023 · github.com · its alternatives →
14
Provide a CSV and a target field, generate a model and code to run it▲172
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
15
Timber – Ollama for classical ML models, 336x faster than Python▲207
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. - kossisoroyce/timber
Mar 2026 · github.com · its alternatives →
16
Machine learning automation from creating to using models in production▲72
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
17
Gradio 5.0▲224
connect nodes to build AI pipelines, powered by Hugging Face
2024 · gradio.app · its alternatives →
18
Fullstack ML – From Notebooks to Deployment▲198
Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
2019 · github.com · its alternatives →
19
ScoopML▲81
An AI assistant for machine learning engineers
2020 · its alternatives →
20
PrometheusML▲63
Intuitive & interactive way to run data science experiments
2022 · yailab.com · its alternatives →
21
GUIs for Faster ML Prototyping and Sharing▲85
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio
2020 · github.com · its alternatives →
22
Spice.ai – materialize, accelerate, and query SQL data from any source▲177
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
2024 · github.com · its alternatives →
23
Plexe – ML Models from a Prompt▲130
Hey HN! We’re Vaibhav and Marcello. We’re building Plexe (https://github.com/plexe-ai/plexe), an open-source agent that turns natural language task descriptions into trained ML models. Here’s a video walkthrough: https://www.youtube.com/watch?v=bUwCSglhcXY. There are all kinds of uses for ML models that never get realized because the process of making them is messy and convoluted. You can spend months trying to find the data, clean it, experiment with models and deploy to production, only to find out that your project has been binned for taking so long.…
2025 · github.com · its alternatives →
24
AutoML Python Package for Tabular Data with Automatic Documentation▲67
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · github.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 →