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Feast
34 posts
@feast_dev

Feast

@feast_dev
Feast: Feature Store for Machine Learning
feast.dev
Joined December 2019
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  • @feast_dev
    Feast
    @feast_dev
    Apr 24, 2024
    👋👋👋 The Feast newsletter has returned! Check out our latest announcements about our new maintainers, vector databases, community highlights, and more! 👇
    docs.google.com
    Feast Newsletter Updates - 2025
    Feast Community Newsletter #17 Announcements 🚀 The Feast Newsletter 👋 Welcome back, here are the latest stats on Feast! We have 6.2k+ GitHub stars! (+200) The Feast slack community has over 6.7k...
  • @feast_dev
    Feast
    @feast_dev
    Mar 23, 2022
    It's landed! @feast_dev now has a first-class integration for @SnowflakeDB! Check it out!
    @Snowflake
    Snowflake
    @Snowflake
    Mar 23, 2022
    🎉 We’re excited to announce an integration w/ @TectonAI's enterprise feature store & Feast. Available in preview to all Snowflake customers on #AWS, you can now store, process & manage the complete lifecycle of #ML features for production in Snowflake okt.to/MIpVzu
  • @feast_dev
    Feast
    @feast_dev
    Jan 29, 2022
    Feast is trending on GitHub, check it out! github.com/trending/python
    @RohitA5L
    Rohit Agrawal
    @RohitA5L
    Jan 29, 2022
    Excited to see @feast_dev the open source feature store trending on GitHub today github.com/trending/python @willpienaar 🎉
  • @feast_dev
    Feast
    @feast_dev
    Nov 9, 2021
    Check out how this @arizeai and @feast_dev integration makes building reliable data systems a lot easier!
    @arizeai
    Arize AI
    @arizeai
    Nov 9, 2021
    📣 Getting machine learning to work in production is not the same as getting it to work in notebooks. Our new integration with Feast, the leading feature store from @Tecton, supercharges feature management and model monitoring for MLOps. Learn more 👇 bit.ly/3D0Q3K5
  • @feast_dev
    Feast
    @feast_dev
    Sep 8, 2021
    How to use #Feast #FeatureStore and @GoogleCloudTech to design an ML data stack for fraud prediction feast.dev/blog/machine-l… #MLOps #MachineLearning #FraudDetection