- Bali
-
12:31
(UTC +08:00) - https://leetcode.com/mahendra_okza/
- @okza_pradhana
Highlights
Stars
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
Sample Docker applications using [Snowflake](https://snowflake.com)
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
Machine Learning Toolkit for Kubernetes
Kubernetes resource dashboard with node/pod layout and resource requests
A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster
This is a place for various problem detectors running on the Kubernetes nodes.
Extremely fast Query Engine for DataFrames, written in Rust
Code for "Efficient Data Processing in Spark" Course
The regex file necessary to build language ports of Browserscope's user agent parser.
Open, Multi-modal Catalog for Data & AI
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
guppy / heapy ported to Python3. It works for real!
Automatically provision and manage TLS certificates in Kubernetes
dadbod.vim: Modern database interface for Vim
Simple UI for https://github.com/tpope/vim-dadbod
Extensible SQL Lexer and Parser for Rust
Quickly and accurately render even the largest data.