High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.

Lightning-fast open-source search engine with typo-tolerance, semantic hybrid search, and sub-50ms response times.

In-process OLAP SQL database that runs inside your Python, R, or Node.js process — no server required.

Blazing-fast DataFrame library written in Rust with a Python API — handles datasets that don't fit in RAM.

Open-source vector similarity search for PostgreSQL — store and query embeddings directly in your Postgres DB.

The most popular open-source Yahoo Finance connector — historical prices, fundamentals, options chains, and real-time quotes as pandas DataFrames.

Run large language models locally with a single command. OpenAI-compatible API for Llama, Mistral, Gemma, and more.

Cloud-native open-source vector database built for billion-scale similarity search and AI applications.

Build, ship, and scale AI services — unified framework from local development to production Kubernetes.

Cross-browser automation library for agents: control Chromium, Firefox, and WebKit with a single reliable API.

Open-source vector database with hybrid search, multi-tenancy, and native ML module integrations.

Fast LLM serving framework with RadixAttention KV cache reuse and structured output (JSON/regex) natively.

Production LLM serving platform by BentoML — deploy any open-source LLM with one command.

Unified API gateway for 100+ LLM providers — call OpenAI, Anthropic, Gemini, Cohere, and local models with a single consistent interface.

The leading data framework for LLM apps — 150+ data loaders, RAG pipelines, and agent tools for connecting any data source to any model.

Microsoft's universal document-to-Markdown converter: PDF, DOCX, PPTX, XLSX, HTML, images, audio, and ZIP — all to clean Markdown.

The open-source AI-native vector database — store, query, and filter embeddings with a simple Python API. Perfect for RAG and semantic search.

High-performance vector database with filtering, payload storage, and a REST/gRPC API — built for production AI.

OpenTelemetry-based observability SDK for LLM applications — traces, metrics, and logs for any AI framework.

Serverless, embedded vector database built on Lance columnar format — zero-copy, multimodal, no server needed.

Open-source document ingestion library — partition PDFs, HTML, DOCX, and 25+ formats into clean elements for RAG pipelines.

Lightweight BSD-licensed Python library providing 80+ stock technical indicators (RSI, MACD, Bollinger Bands, ATR) as simple DataFrame column lookups.

Pythonic client for the arXiv API: search, download, and stream 2M+ preprints by query, author, or ID.