Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: lakehouse

Annuaire en anglais

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

12K
Stars
85/100
Confiance
Catégorie: data-analysisAudit

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

6.7K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

3.2K
Stars
83/100
Confiance
Catégorie: data-analysisAudit

Next-generation decentralized data lakehouse and a multi-party stream processing network

344
Stars
63/100
Confiance
Catégorie: web3-analyticsAudit

Open-source data lakehouse for biology. Query, trace & validate with a lineage-native lakehouse that supports bio-formats, registries & ontologies. 🍊YC S22

271
Stars
70/100
Confiance
Catégorie: devopsAudit

Quick start: pip install jsoniq ⛈️ RumbleDB 2.1.0 "Cedrus Libani" 🌳 for Apache Spark | Run queries on your large-scale, messy datasets (JSON, text, CSV, Parquet, Delta...) | Data Lakehouse with Updates, Scripting, Declarative Machine Learning and more

239
Stars
66/100
Confiance
Catégorie: data-analysisAudit

GigAPI is a Timeseries lakehouse for real-time data and sub-second queries, powered by DuckDB OLAP + Parquet Query Engine, Compactor w/ Cloud-Native Storage. Drop-in FDAP alternative ⭐

386
Stars
64/100
Confiance
Catégorie: data-analysisAudit

End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.

344
Stars
66/100
Confiance
Catégorie: data-analysisAudit

Use SQL to build ELT pipelines on a data lakehouse.

290
Stars
59/100
Confiance
Catégorie: data-analysisAudit