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Dataframes for machine-learning and statistics (similar to pandas).

LinkedIn's generalized metadata search & discovery tool.

Database client with AI-powered query assistance to generate context based queries.

django-meta helps manage meta tags, Open Graph data, and social sharing previews for websites.

An open-core tool to automate data and training workflows.

) - reference implementation of a DVM (Data Vending Machine) backend

) - A lightweight, post-only Nostr client that compresses media on your device for fast, data-efficient uploads

Machine learning development environment for data science and AI/ML engineering teams.

10x faster, cheaper, and better vector database.

Visualizations for understanding and analyzing machine learning datasets.

High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Security research toolkit for extracting, transforming, and analyzing data during investigation workflows.

Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.

GitHub dorking tool for searching repositories with advanced queries and sensitive-data patterns.

grab-site is an open source web scraping or crawling project for collecting website data.

Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.

Open source video stabilization tool using gyro data for smooth action-camera footage.

A scalable general purpose micro-framework for defining dataflows.

HEAD helps manage meta tags, Open Graph data, and social sharing previews for websites.

Simple and fast databaseless PHP blogging platform, and Flat-File CMS

AI-native database built for LLM applications, providing incredibly fast vector and full-text search.

IPython notebooks from Data School's video tutorials on scikit-learn.