Awesome Data Analysis
Section: Tools · A feature store for machine learning that manages and serves ML features to models.
FreshScore 80
Entry
Feast
Appears in 6 awesome lists
Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
Open github.comfeast-dev/feast
Found in these lists
AWESOME DATA SCIENCE
Section: Miscellaneous Tools · A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
FreshScore 92
Awesome LLMOps
Section: Data/Feature enrichment · An open source feature store for machine learning.
ActiveScore 75
Awesome Open Source AI
Section: 8. MLOps / LLMOps & Production · Open source feature store for ML. Manages offline/online feature storage with point-in-time correctness to prevent data leakage. Apache 2.0 licensed.
FreshScore 89
Awesome Production Machine Learning
Section: Feature Store · Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
FreshScore 92
awesome-python
Section: Data Science and Analytics · The Open Source Feature Store for AI/ML
FreshScore 81
Often listed next to it
LiteLLM
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
In 16 listsDetails
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
Apache Airflow
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
In 13 listsDetails
Ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
In 13 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails