1
Also covers machine learning and open source · same kind of open-source project
FEDOT automates machine learning model development through its modeling framework.
Alternatives
The Best neural-fortran Alternatives in 2026
24 alternatives0 free · 24 open source
Looking for something like neural-fortran? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 24 are open source.
About neural-fortrangithub.com/modern-fortran/neural-fortran
Visitneural-fortran provides a parallel framework for deep learning in Fortran.
Top picks at a glance
First suggestionFEDOTFEDOT automates machine learning model development through…Another optionDetectoDetecto supports building and training computer vision…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | FEDOT | — | Yes | — |
| 2 | Detecto | — | Yes | — |
| 3 | Katib | — | Yes | — |
| 4 | PyTorch Geometric Temporal | — | Yes | — |
| 5 | mgl | — | Yes | — |
| 6 | AutoGL | — | Yes | — |
| 7 | Petastorm | — | Yes | — |
| 8 | Bender | — | Yes | iOS |
| 9 | DeepSpeed | — | Yes | — |
| 10 | AutoKeras | — | Yes | — |
All neural-fortran alternatives
2
Also covers machine learning and open source · same kind of open-source project
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
3
Also covers machine learning and open source · same kind of open-source project
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
4
Also covers machine learning and open source · same kind of open-source project
PyTorch Geometric Temporal provides models and tools for spatiotemporal signal processing with neural learning.
5
Also covers machine learning and open source · same kind of open-source project
mgl provides a machine learning library in Common Lisp, including neural networks and Gaussian processes.
6
Also covers machine learning and open source · same kind of open-source project
AutoGL provides automated graph learning through a machine learning framework and toolkit.
7
Also covers machine learning and open source · same kind of open-source project
Enables single machine or distributed training and evaluation of deep learning models.
8
Also covers api, machine learning, and open source · same kind of open-source project
Bender helps developers build neural networks for iOS using TensorFlow models and Metal.
9
Also covers machine learning and open source · same kind of open-source project
DeepSpeed optimizes distributed training and inference for deep learning models.
10
Also covers machine learning and open source · same kind of open-source project
AutoKeras automates development of deep learning models through a machine learning library.
11
Also covers machine learning and open source · same kind of open-source project
Archai supports neural architecture search with fast, reproducible, and modular research tools.
12
Also covers api, machine learning, and open source · same kind of open-source project
Karate Club offers algorithms for unsupervised learning on graph data in Python.
13
Also covers api, machine learning, and open source · same kind of open-source project
doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses.
14
Also covers machine learning and open source · same kind of open-source project
Learnergy is a Python library for energy-based machine learning models.
15
Also covers machine learning and open source · same kind of open-source project
AutoGluon provides tools for automated machine learning and model development.
16
Also covers machine learning and open source · same kind of open-source project
This metric-learn repository contains Python implementations of metric learning algorithms.
17
Also covers machine learning and open source · same kind of open-source project
metric-learn provides Python implementations of metric learning algorithms.
18
Also covers machine learning and open source · same kind of open-source project
ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets.
19
Also covers machine learning and open source · same kind of open-source project
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.
20
Also covers machine learning and open source · same kind of open-source project
Auto_ViML builds multiple machine learning models with a single line of code.
21
Also covers machine learning and open source · same kind of open-source project
Lightwood builds and customizes machine learning pipelines using a declarative JSON-AI syntax.
22
Also covers machine learning and open source · same kind of open-source project
Guild AI automates and optimizes machine learning experiments while tracking each run.
23
Also covers machine learning and open source · same kind of open-source project
m2cgen converts machine learning models into native code for multiple programming languages without runtime dependencies.
24
Also covers machine learning and open source · same kind of open-source project
EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
No alternatives match this filter.
Alternatives to similar tools
Learnergy24 alternativesKarate Club24 alternativesmetric-learn24 alternativesPyTorch Geometric Temporal24 alternativesmgl24 alternativesdoddle-model24 alternatives
What is the best alternative to neural-fortran?
Based on features, tags and platforms, the closest alternatives to neural-fortran are FEDOT, Detecto, and Katib.
Are there open-source alternatives to neural-fortran?
Yes: FEDOT, Detecto, Katib, and PyTorch Geometric Temporal.
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