Search Results for "google-visualization-python"

...It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests.

qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line.

Chaski is a content aggregator designed to help you cut through the noise of today's internet. With its privacy-first approach, Chaski provides a simple, distraction-free space where you can consume the content that truly matters to you. Whether you're following articles, videos, or other online media, Chaski ensures you can access it all in one place—without the interruptions of ads, tracking, or irrelevant distractions. Key Features: Privacy-First: No ads, no tracking, and no...