Search Results for "high performance computing"
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Showing 11 open source projects for "high performance computing"
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Crawl4AI
Open-source LLM Friendly Web Crawler & Scraper
Crawl4AI is a high-performance, AI‑ready web crawler tailored for LLM data ingestion and RAG pipelines. It supports adaptive crawling heuristics (stopping when enough info is gathered), structured markdown output, and high-speed parallel execution. Designed to operate at scale with optional Docker deployment and framework integrations. -
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Spider
High-performance Rust web crawler and scraper for large-scale data
Spider is a high-performance web crawler and web scraping library written in Rust that enables developers to crawl and index websites efficiently. It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. -
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Scrapling
An adaptive Web Scraping framework
...The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. Its powerful spider system supports multi-session crawling, pause and resume functionality, and real-time streaming of scraped data. Scrapling combines high performance, memory efficiency, and extensive async support to deliver blazing-fast scraping workflows. With a developer-friendly API, CLI tools, MCP server integration for AI-assisted extraction, and Docker support, it offers a complete solution for modern web scrapers. -
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Bili23 Downloader
Cross platform GUI tool for downloading videos from Bilibili sites
...It provides a graphical interface that allows users to download various types of media including user-uploaded videos, series episodes, movies, and other hosted content. It focuses on ease of use with a zero-configuration setup, making it accessible to both beginners and experienced users. It supports high performance downloads through multi-threading and includes resume capabilities so interrupted downloads can continue without starting over. It can parse different types of links such as standard video pages, short links, and collection or activity pages to automatically retrieve downloadable media. It also allows users to choose video resolution, audio quality, and encoding format based on the available sources. ... -
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5
rnet
Python HTTP client with TLS and HTTP/2 fingerprint emulation support
...This includes support for TLS fingerprinting techniques such as JA3 and JA4 as well as detailed HTTP/2 settings, enabling more accurate simulation of real client network traffic. It is powered by the underlying wreq engine and is built with performance and modularity in mind. rnet also supports advanced networking capabilities such as proxy rotation, connection pooling, and streaming transfers, which make it suitable for automation, scraping, and high-performance network. -
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gain
Asyncio-based Python framework for building fast web crawling spiders
Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and items, allowing them to organize crawling logic and data extraction rules clearly. ... -
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Geziyor
Blazing fast Go framework for web crawling and data scraping tasks
Geziyor is a high-performance web crawling and web scraping framework built for the Go programming language. It is designed to help developers crawl websites and extract structured information from web pages efficiently. It focuses on speed and scalability, allowing large numbers of requests to be processed concurrently. Geziyor supports use cases such as data mining, monitoring web content, and automated testing workflows. -
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videodl
Lightweight Python tool for downloading videos from many platforms
...Videodl can integrate with external command-line utilities to improve downloading performance, handle streaming formats such as HLS, and manage encrypted or segmented media streams. Additional utilities can also enable faster downloads, resume interrupted transfers, and process complex playlist structures. -
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Abot
Fast and flexible C# framework for building customizable web crawlers
Abot is an open source C# web crawler framework designed to help developers efficiently crawl and process web content. It focuses on speed, flexibility, and extensibility while handling the complex low-level tasks involved in web crawling. It manages essential components such as multithreading, HTTP requests, scheduling, and link parsing so developers can focus on processing the collected data. Abot follows a modular architecture that allows developers to customize nearly every stage of the... -
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haipproxy
Distributed proxy IP pool for web crawlers using Scrapy and Redis
...It automatically crawls proxy resources from the internet and aggregates them into a centralized pool that can be accessed by distributed spiders and scraping systems. It is built using Python and relies on Scrapy for high-performance crawling while Redis is used for data storage, communication, and task coordination between components. It includes crawlers that discover proxy servers, validators that test proxy availability and performance, and schedulers that manage crawling and validation tasks. HAipproxy aims to maintain a high availability proxy pool with low latency so that scraping frameworks can rotate proxies efficiently and avoid blocking during large-scale data collection. ... -
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A Java Web crawler: multi-threaded, scalable, with high performance, extensible and polite. It can be used to crawl and index any web or enterprise domain and is configurable through a XML configuration file.
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