Dev tools · alternatives · 2026

24 alternatives to OSS Python library for detecting silent ML model failure

nannyml: post-deployment data science in python. Contribute to NannyML/nannyml development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. OSS Python library for detecting silent ML model failure launched in 2022; newer entries below may have overtaken it.

1
NannyML Regression v0.8.0▲85
OSS Python library for detecting silent ML model failure
2022 · nannyml.com · its alternatives →
2
NannyML▲155
OSS Python library for detecting silent ML model failure
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
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
5
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
6
OrchestraML▲82
From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app · its alternatives →
7
StackML▲252
Machine Learning platform in-browser, for creators
2019 · its alternatives →
8
Taipy 3.0▲304
Build powerful data and AI apps in pure Python
2024 · github.com · its alternatives →
9
Deploy ML Models on a Budget▲117
Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml
2021 · github.com · its alternatives →
10
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 →
11
Fullstack ML – From Notebooks to Deployment▲198
Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
2019 · github.com · its alternatives →
12
ML Kit (by Google)▲195
Machine learning for mobile developers
2018 · developers.google.com · its alternatives →
13
CLI for working with Apple Core ML models▲48
A native command-line interface for working with Apple Core ML models on macOS - schappim/coreml-cli
Jan 2026 · github.com · its alternatives →
14
CRML▲130
CRML is a declaritive language for writing cyberrisk as code
Feb 2026 · github.com · its alternatives →
15
ZenML, extensible open-source MLOps framework for reproducible ML▲37
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml
2020 · github.com · its alternatives →
16
ScoopML▲81
An AI assistant for machine learning engineers
2020 · its alternatives →
17
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 →
18
automl-docker▲68
Open-source, easily create ready-to-use ML models for NLP
2022 · github.com · its alternatives →
19
UnionML▲77
The easiest way to build and deploy ML microservices
2022 · union.ai · its alternatives →
20
Build Machine Learning Web-Service with Python and Django▲67
My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.
2020 · github.com · its alternatives →
21
GoLearn▲81
Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
22UA
UnionML – a Python framework for building ML microservices▲12
Hi HN! Niels here. I'm the creator of UnionML (https://github.com/unionai-oss/unionml), a Python MLOps framework that removes the boilerplate and friction associated with building and deploying machine learning systems to production. I've been training and deploying models for almost a decade now, and one pain-point I've consistently had is managing the complexity of building and maintaining an ML stack that works for the entire model development lifecycle - from prototyping to production. UnionML is built on top of Flyte (https://www.flyte.org) and exposes a…
2022 · its alternatives →
23
Appelpy – library for easier regression modelling in Python▲56
Applied Econometrics Library for Python. Contribute to mfarragher/appelpy development by creating an account on GitHub.
2019 · github.com · its alternatives →
24
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 →

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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 →