AI · alternatives · 2026

24 alternatives to ZenML, extensible open-source MLOps framework for reproducible ML

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml

ZenML is an open-source MLOps framework designed to help teams build reproducible machine learning pipelines. It provides extensibility for integrating various ML tools and platforms into workflows. The framework… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ZenML, extensible open-source MLOps framework for reproducible ML launched in 2020; newer entries below may have overtaken it.

1
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
2
ZenML – Portable, production-ready MLOps pipelines▲5
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml
2022 · github.com · its alternatives →
3
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 →
4
StackML▲252
Machine Learning platform in-browser, for creators
2019 · its alternatives →
5
Zencoder ▲766
Hi HN, I’m Andrew, Founder of Zencoder. While building our IDE extensions and cloud agents, we ran into the same issue many of you likely face when using coding agents in complex repos: agents getting stuck in loops, apologizing, and wasting time. We tried to manage this with scripts, but juggling terminal windows and copy-paste prompting was painful. So we built Zenflow, a free desktop tool to orchestrate AI coding workflows. It handles the things we were missing in standard chat interfaces: Cross-Model Verification: You can have Codex review Claude’s code, or run them in parallel to see…
2025 · zencoder.ai · its alternatives →
6
Zen Agents (by Zencoder)▲287
Build AI agents. Share org-wide. 100+ Tools&MCP
2025 · docs.zencoder.ai · its alternatives →
7
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 →
8
UnionML▲77
The easiest way to build and deploy ML microservices
2022 · union.ai · its alternatives →
9
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
10
OrchestraML▲82
From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app · its alternatives →
11
Apple MLX▲138
An array framework for machine learning on Apple silicon
2023 · pypi.org · its alternatives →
12
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 →
13
MindsDB▲235
In-database machine learning
2022 · its alternatives →
14
Zennbox▲255
Save & organize your resources. Take notes with AI
2025 · zennbox.app · its alternatives →
15
ScoopML▲81
An AI assistant for machine learning engineers
2020 · its alternatives →
16
Instill VDP▲130
Open source unstructured data ETL for AI first applications
2024 · instill-ai.com · its alternatives →
17SM
SpotML – Managed ML Training on Cheap AWS/GCP Spot Instances▲157
2021 · spotml.io · its alternatives →
18
Continuous Machine Learning – CI/CD for Machine Learning Projects▲171
Bring DevOps practices to your projects for automatic, reproducible, and fast machine learning.
2020 · cml.dev · its alternatives →
19
One-Click MLOps Platform Sandbox with ZenML, MLflow, Kubeflow and MinIO▲6
Founder of ZenML here, the company behind the sandbox service. We created the MLOps Platform Sandbox to give ML and MLOps Engineers the ability to pick and choose their preferred infrastructure and tooling to build a platform that fulfills their company’s needs. Deploying a rudimentary MLOps platform can be time-consuming for new users. The MLOps Platform Sandbox bridges this gap by providing a one-click deployment platform for a pre-built ephemeral MLOps stack, simplifying the deployment process. For now, you can create a sandbox for 8 hours with a stack made up of ZenML, Kubeflow, MLflow,…
2023 · sandbox.zenml.io · its alternatives →
20
Zenkit▲252
The project management tool that grows with you
2016 · zenkit.com · its alternatives →
21
Cortex – machine learning infrastructure for developers▲86
Production infrastructure for machine learning at scale - cortexlabs/cortex
2019 · github.com · its alternatives →
22
FastML▲11
Ship Machine Learning Pipelines. Fast.
2024 · its alternatives →
23
HeroML▲84
Write AI workflow apps & tools, 4000+ free prompt libraries
2023 · hero.page · its alternatives →
24
Evolving Agents Framework▲139
Hey HN, I've been working on an open-source framework for creating AI agents that evolve, communicate, and collaborate to solve complex tasks. The Evolving Agents Framework allows agents to: Reuse, evolve, or create new agents dynamically based on semantic similarity Communicate and delegate tasks to other specialized agents Continuously improve by learning from past executions Define workflows in YAML, making it easy to orchestrate agent interactions Search for relevant tools and agents using OpenAI embeddings Support multiple AI frameworks (BeeAI, etc.) Current Status & Roadmap This is…
2025 · github.com · its alternatives →

Also compare

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 →