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Featureform Alternatives
Similar projects and alternatives to featureform
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neon
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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Mage
🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
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flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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Kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
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OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
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sagemaker-feature-store-real-time-recommendations
Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
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featureform discussion
featureform reviews and mentions
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10 Open Source MLOps Projects You Didn’t Know About
Featureform The success of a machine learning model relies on the quality of data and, hence, the features fed to the model. However, in large organizations, members of one team may not be aware of good features developed by other teams in the organization. A feature store helps eliminate this problem by providing a central repository of features that are accessible to all the teams and individuals within an organization.
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25 Open Source AI Tools to Cut Your Development Time in Half
Featureform is a virtual feature store that streamlines data scientists' ability to manage and serve features for machine learning models. It acts as a "virtual" layer over existing data infrastructure like Databricks and Snowflake. This allows data scientists to engineer and deploy features directly to the data infrastructure for other stakeholders. Its structured, centralized feature repository and metadata management approach empower data scientists to seamlessly transition their work from experimentation to production, ensuring reproducibility, collaboration, and governance throughout the ML lifecycle.
- Still look familiar?
- Featureform: A Python Framework for the Entire Feature Lifecycle. Define, Version, Orchestrate, & Deploy ML Features with OSS Featureform!
- Does this look familiar?
- Does this look familiar? Define, Manage, & Serve your ML Features with OSS Featureform!
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What’s your process for deploying a data pipeline from a notebook, running it, and managing it in production?
Feature store: new hot one: https://www.featureform.com/
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A note from our sponsor - SaaSHub
www.saashub.com | 15 Jul 2025
Stats
featureform/featureform is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.
The primary programming language of featureform is Go.