1
Also covers ai infrastructure, machine learning, and open source
The Feast repository describes an open source feature store for AI and machine learning projects.
Alternatives
The Best Feast Alternatives in 2026
24 alternatives0 free · 24 open source
Looking for something like Feast? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 24 are open source.
The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning.
Top picks at a glance
First suggestionFeastThe Feast repository describes an open source feature store…Another optionFeastThe Feast project provides an open source feature store for…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Feast | — | Yes | — |
| 2 | Feast | — | Yes | — |
| 3 | BentoML | — | Yes | — |
| 4 | Featureform | — | Yes | — |
| 5 | TensorFlow | — | Yes | Web |
| 6 | Kubeflow Pipelines | — | Yes | — |
| 7 | Sagify | — | Yes | — |
| 8 | Tpot | — | Yes | — |
| 9 | ormb | — | Yes | — |
| 10 | Merlin | — | Yes | — |
All Feast alternatives
2
Also covers ai infrastructure, machine learning, and open source
The Feast project provides an open source feature store for AI and machine learning.
3
Also covers ai infrastructure, machine learning, and open source
BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines.
4
Also covers ai infrastructure, machine learning, and open source
Featureform turns existing data infrastructure into a virtual feature store.
5
Also covers ai infrastructure, machine learning, and open source
TensorFlow offers an open-source machine learning platform with tools, libraries, and community resources.
6
Also covers ai infrastructure, machine learning, and open source
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
7
Also covers ai infrastructure, machine learning, and open source
Sagify describes its project as a way to work with large language models and machine learning more easily.
8
Also covers ai infrastructure, machine learning, and open source
TPOT uses genetic programming to optimize machine learning pipelines in Python.
9
Also covers ai infrastructure, machine learning, and open source
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
10
Also covers ai infrastructure, machine learning, and open source
Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.
11
Also covers ai infrastructure, machine learning, and open source
Cog packages machine learning models into containers to support deployment across environments.
12
Also covers ai infrastructure, machine learning, and open source
The Datumbox framework is written in Java for developing machine learning and statistical applications.
13
Also covers ai infrastructure, machine learning, and open source
Build neural networks and support machine learning research with Sonnet, a library based on TensorFlow.
14
Also covers ai infrastructure, machine learning, and open source
The linfa project provides a machine learning framework written in Rust.
15
Also covers ai infrastructure, machine learning, and open source
Hypernets offers a general automated machine learning framework for developing end to end AutoML toolkits in specific domains.
16
Also covers ai infrastructure, machine learning, and open source
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
17
Also covers ai infrastructure, machine learning, and open source
FLAML provides a fast Python library for automated machine learning and tuning.
18
Also covers ai infrastructure, machine learning, and open source
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
19
Also covers ai infrastructure, machine learning, and open source
Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.
20
Also covers ai infrastructure, machine learning, and open source
The Hydrosphere repository describes an MLOps platform for machine learning operations.
21
Also covers ai infrastructure, machine learning, and open source
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
22
Also covers ai infrastructure, machine learning, and open source
The fuku-ml project provides a machine learning library described as simple to use.
23
Also covers ai infrastructure, machine learning, and open source
ModelDB tracks machine learning model versions, metadata, and experiments.
24
Also covers ai infrastructure, machine learning, and open source
FlexML offers an easy to use and flexible automated machine learning library for Python.
No alternatives match this filter.
Alternatives to similar tools
Kubeflow Pipelines24 alternativesFeatureform24 alternativesMerlin24 alternativeslinfa24 alternativesKandle24 alternativesFlexML24 alternatives
What is the best alternative to Feast?
Based on features, tags and platforms, the closest alternatives to Feast are Feast, Feast, and BentoML.
Are there open-source alternatives to Feast?
Yes: Feast, Feast, BentoML, and Featureform.
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