Global

frame objects, statistical functions, and much more

Scrapy, a fast high-level web crawling & scraping framework for Python.

fetchuser(800333171, replaceiconnamewithurl=True) to get the parsed data with asset urls.

Polars is an analytical query engine for DataFrames, written in Rust. It is designed to be fast, easy to use and expressive. Key features are:

Incremental engine for long horizon agents 🌟 Star if you like it!

Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

A substantial amount of effort has been put into making sure the outputs match exactly with what you would get with HuggingFace Tokenizers in this setting, but this is at a non-negligible cost to performance.

IMPORTANT] > ### Thank you Clippy! > > ### But our Sheet is in another Workbook! > > The new source repository URL is .

PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement

uv is a fast Python package installer and resolver. To get started:

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Apache Hadoop

This blog will focus on simple bash commands for parsing data and Linux system maintenance that i acquired from work and LPIC exam. I apologize that there are no detailed citation for all the commands, but they are probably from dear search engine and Stack Overflow.

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Due to lack of ability to find an invested maintainer and inability to find time to do routine maintenance and community building, this package is no longer maintained. Please see the discussion 🤝 Maintainer help wanted for more information.

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE.

Many thanks to Protobi and Michael for this contribution! Merged fix: styles rendering in case when "numFmt" is present in conditional formatting rules (resolves #1814) #1815.

Logstash is part of the Elastic Stack along with Beats, Elasticsearch and Kibana. ). Logstash has over 200 plugins, and you can write your own very easily as well.

Papa Parse is the fastest in-browser CSV (or delimited text) parser for JavaScript. It is reliable and correct according to RFC 4180, and it comes with these features:

xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable:

SolidityScanLegend enables real-time, high-performance data extraction and analysis through scalable, auto-scaling architecture and efficient query processing.

NFTAPIInfinite is aimed at developers who need a straightforward, dependable solution.

MetaBridgeDiamond enables high-performance real-time data processing and auto-scaling, deploying scalable agents as a robust manager.

把听到的中文名字对到一份花名册上：按音节比拼音、多音姓、口音归一、字形兜底；拿不准时给候选和理由，不替你下结论。零依赖。

Enables real-time data processing and auto-scaling for cloud-based systems and modules. kept simple: just Cloud agnostic deployment