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Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.

Portable annotation tool for creating labeled datasets.

promptext

github.com

Smart code context extractor for AI assistants with accurate token counting and budget management.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.

Markov Chain Monte Carlo sampling toolkit.

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

A python framework to transform natural language questions to queries in a database query language.

A self-organizing data hub with S3 support.

Julia package for loading many of the data sets available in R.

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.

Basic sampling algorithms for Julia.

Analyzes structured data and helps produce queries, insights or visualizations.

Free lead generation tool. Scrape Instagram, Twitch, TikTok, and LinkedIn profiles. Extract emails from bios, verify via SMTP, export to CSV.

A beautiful graphing toolkit for Ruby.

High performance distributed data processing in NodeJS.

Natural Language Understanding library for intent classification and entity extraction.

A system for quickly generating training data with weak supervision.

AI-powered social listening tool that tracks brand mentions across Google, Instagram, Facebook, TikTok, Reddit, and X (Twitter). Uses HasData SERP API + LLM inference to extract structured insights, generate charts, export CSV reports, and send Telegram notifications on a 24-hour automated cycle.

:card_index: Extract social media profiles and more with regular expressions

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.

Self Organizing Map written in Python (Uses neural networks for data analysis).

Spark is a fast and general engine for large-scale data processing.

Analyzes structured data and helps produce queries, insights or visualizations.