Alternatives

Products that do what OrchestraML does

Turn natural-language ML goals into auditable ML pipelines.

1
OrchestraML▲82
From English prompt to deployed ML model with human approval
Jun 2026
2
StackML▲252
Machine Learning platform in-browser, for creators
2019
3
Orchestra 1.0▲195
An open-source robotic process automation system 🚀
2019
4
MakeML▲274
Train Neural Networks without a line of code
2019
5
ZenML▲84
Create reproducible machine learning pipelines
2020
6
UnionML▲77
The easiest way to build and deploy ML microservices
2022
7
ScoopML▲81
An AI assistant for machine learning engineers
2020
8
integrate.ai▲80
Extend your product to train ML models on distributed data
2022
9
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020
10ZE
ZenML, extensible open-source MLOps framework for reproducible ML▲37
2020 · github.com
11
Project Oxford▲301
A catalogue of artificial intelligence APIs by Microsoft
2015
12
Weave▲237
Engineering metrics for the AI era
2025
13
Cortex▲70
Run multiple claude-code agents from YAML config
Jan 2026
14
CRML▲130
CRML is a declaritive language for writing cyberrisk as code
Feb 2026
15
AskCodi▲230
Custom LLMs, without training. Use via openai compatible api
Nov 2025
16
BigML▲64
Machine learning as a service - build predictive apps
2014
17
Google CLOUD AUTOML▲93
Train custom ML models with minimum effort and expertise
2018
18
CSML Playground▲137
Play with CSML, the programming language for chatbots
2021
19VA
Vektorgeist- A platform for AI operators and their agent's▲5
VektorGeist is a platform designed for AI operators to discover, share, and distribute AI resources in one place. The platform brings together: AI tools MCP servers Prompts Workflows Templates Agents Technical articles A community for collaboration Recent updates include selectable layouts, customizable themes, an immersive interface, community profiles, and a marketplace for sharing projects and resources. The goal is to create a central hub where AI operators can find practical resources, contribute their own work, and collaborate with others without having to search across dozens of…
Jul 2026 · vektorgeist.com
20
Layer AI▲124
Metadata store for production ML
2022
21
automl-docker▲68
Open-source, easily create ready-to-use ML models for NLP
2022
22BL
Build Live AI and RAG Pipelines in Minutes with YAML Templates▲8
Hello everyone! I am Jan, CTO and one of the creators of Pathway, the real-time data processing framework. I’m excited to share Pathway’s ready-to-use AI Pipelines, configurable with just YAML! These frameworks offer out-of-the-box solutions for AI search, RAG, and more—optimized for real-time indexing and in-memory processing. What makes it simple? YAML templates! The pipeline templates are fully customizable using YAMLs to fit your needs, from changing the data sources to the choice of the LLM model, all without touching Pathway’s Python code. Thanks to the Pathway data processing engine,…
2024 · pathway.com
23
Elemeno AI-Ops▲67
Make machine learning work for you, not the other way around
2022
24DO
Dynamiq – orchestration framework for agentic AI and LLM applications▲7
Dynamiq is an orchestration framework for agentic AI and LLM applications
2024 · github.com

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