1
Also covers data science and machine learning · same kind of open-source project · open source
EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
Alternatives
The Best Knet Alternatives in 2026
24 alternatives0 free · 23 open source
Looking for something like Knet? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 23 are open source.
Knet provides a deep learning framework developed at Koç University for building models.
Top picks at a glance
First suggestionEvalMLEvalML builds, optimizes, and evaluates machine learning…Another optiondoddle-modeldoddle-model is an in-memory machine learning library for…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | EvalML | — | Yes | — |
| 2 | doddle-model | — | Yes | — |
| 3 | AutoGluon | — | Yes | — |
| 4 | PyTorch Lightning | — | Yes | — |
| 5 | Determined | — | Yes | — |
| 6 | FEDOT | — | Yes | — |
| 7 | Petastorm | — | Yes | — |
| 8 | m2cgen | — | Yes | — |
| 9 | Archai | — | Yes | — |
| 10 | Detecto | — | Yes | — |
All Knet alternatives
2
Also covers data science and machine learning · same kind of open-source project · open source
doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses.
3
Also covers data science and machine learning · same kind of open-source project · open source
AutoGluon provides tools for automated machine learning and model development.
4
Also covers data science and machine learning · same kind of open-source project · open source
PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.
5
Also covers data science and machine learning · same kind of open-source project · open source
Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.
6
Also covers docker and machine learning · same kind of open-source project · open source
FEDOT automates machine learning model development through its modeling framework.
7
Also covers docker and machine learning · same kind of open-source project · open source
Enables single machine or distributed training and evaluation of deep learning models.
8
Also covers docker and machine learning · same kind of open-source project · open source
m2cgen converts machine learning models into native code for multiple programming languages without runtime dependencies.
9
Also covers docker and machine learning · same kind of open-source project · open source
Archai supports neural architecture search with fast, reproducible, and modular research tools.
10
Also covers machine learning · same kind of open-source project · open source
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
11
Prodmodel
github.com/prodmodel/prodmodelAlso covers data science · same kind of open-source project
Prodmodel supports building, testing, deploying, and iterating on data science pipelines.
12
Also covers machine learning · same kind of open-source project · open source
neural-fortran provides a parallel framework for deep learning in Fortran.
13
Also covers data science · same kind of open-source project · open source
OpenMetricLearning provides metric learning pipelines, models, and a model zoo.
14
Also covers machine learning · same kind of open-source project · open source
Auto_ViML builds multiple machine learning models with a single line of code.
15
Also covers machine learning · same kind of open-source project · open source
DeepSpeed optimizes distributed training and inference for deep learning models.
16
Also covers machine learning · same kind of open-source project · open source
AutoKeras automates development of deep learning models through a machine learning library.
17
Also covers machine learning · same kind of open-source project · open source
Bender helps developers build neural networks for iOS using TensorFlow models and Metal.
18
Also covers machine learning · same kind of open-source project · open source
AutoGL provides automated graph learning through a machine learning framework and toolkit.
19
Also covers machine learning · same kind of open-source project · open source
Lightwood builds and customizes machine learning pipelines using a declarative JSON-AI syntax.
20
Also covers machine learning · same kind of open-source project · open source
Learnergy is a Python library for energy-based machine learning models.
21
Also covers machine learning · same kind of open-source project · open source
ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets.
22
Also covers machine learning · same kind of open-source project · open source
PyTorch Geometric Temporal provides models and tools for spatiotemporal signal processing with neural learning.
23
Also covers machine learning · same kind of open-source project · open source
KerasTuner searches hyperparameters to optimize machine learning models built with Keras.
24
Also covers machine learning · same kind of open-source project · open source
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
No alternatives match this filter.
Alternatives to similar tools
finetuning-scheduler24 alternativesPyTorch Lightning24 alternativesOpenMetricLearning24 alternativesLearnergy24 alternativesneural-fortran24 alternativesdoddle-model24 alternatives
What is the best alternative to Knet?
Based on features, tags and platforms, the closest alternatives to Knet are EvalML, doddle-model, and AutoGluon.
Are there open-source alternatives to Knet?
Yes: EvalML, doddle-model, AutoGluon, and PyTorch Lightning.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative