AI Agent Skills

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas…

Apache Spark - A unified analytics engine for large-scale data processing

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

Fast and powerful CSV (delimited text) parser that gracefully handles large files and malformed input

Fast. Easy. Done. Processing spreadsheets without worrying about large files causing OOM.

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

Full featured CSV parser with simple api and tested against large datasets.

🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.

OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi…

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more.…

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…