Search Results for "data processing"
Sort By:
74 projects for "data processing" with 2 filters applied:
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
Acl
A powerful server and network library, including coroutine
The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as... -
2
Harper
Offline, privacy-first grammar checker
Harper is an offline, privacy-first English grammar checker written primarily in Rust. It analyzes writing locally, avoiding the latency and data exposure associated with cloud-only services. The engine is designed to lint documents in milliseconds while using a small memory footprint. It can run through WebAssembly in browsers and applications or through native command-line and language-server components. Official integrations support editors and tools including Visual Studio Code, Neovim,... -
3
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. Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. ... -
4
Python API for JMComic
Python crawler and API for downloading JMComic albums and images
...It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available endpoints. Its architecture includes components for configuration management, download orchestration, and client communication, allowing users to automate the retrieval of manga chapters or entire albums. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
Parser-Chitai-Gorod
Intelligent parser for catalog «Read-city»
Processing can use multiple threads to improve throughput across larger catalogs. Completed URLs are tracked so interrupted jobs can resume without unnecessarily processing the same books again. Results are exported to Excel workbooks, with separate sheets organized by book genre for easier analysis. -
6
douyin
Open source Douyin crawler for collecting and downloading public data
DouyinCrawler is an open source data collection tool designed to gather publicly available information from the Douyin platform. It demonstrates how to build a Python-based web crawler combined with a graphical interface and command line functionality. It allows users to collect data from various types of Douyin content, including user profiles, videos, hashtags, and music pages. DouyinCrawler supports both automated scraping and batch operations to process multiple targets efficiently. It... -
7
watercrawl
AI-ready web crawler that extracts and structures website content
WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website.... -
8
MDCx
Movie metadata scraper and organizer for media libraries and NFO
...It retrieves metadata from multiple online sources and applies it to local media collections, helping users maintain structured and well-organized libraries. MDCx can download information such as titles, cast data, artwork, and other metadata, then generate standardized NFO files compatible with media management systems. It also supports image processing tasks such as downloading and cropping artwork used by media centers. It includes several interfaces, allowing users to operate it through a graphical desktop application, a browser-based web interface, or command-line utilities depending on their workflow. ... -
9
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... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
QueryList is an extensible PHP web scraping and crawling framework designed to extract and process data from web pages. It provides a simple and expressive API that allows developers to collect structured information from HTML documents using familiar DOM traversal techniques. It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. QueryList supports common data... -
11
diskover-community
Open source file indexing & storage analytics powered by Elasticsearch
Diskover Community Edition is an open source file system indexing and storage analytics platform designed to help organizations understand and manage large volumes of file data. It crawls file systems and indexes metadata using Elasticsearch, enabling fast search, analysis, and organization of files stored across different storage systems. It allows administrators and users to explore file structures, monitor storage usage, and gain insights into how data is distributed across... -
12
news-please
Python tool for crawling and extracting structured data from news site
...It provides an integrated pipeline that crawls news sites, retrieves article pages, and extracts structured information such as headlines, authors, publication dates, and article text. news-please can recursively follow internal links and read RSS feeds to gather both recent and archived articles from a news outlet when given only the root URL of a site. It combines several established technologies and libraries to perform web crawling and content extraction, enabling reliable processing across a wide range of news sources. Developers can use the software either as a standalone command line application or integrate it into their own Python applications through its library interface. Extracted article data can be stored in different formats and systems, including JSON files or database-backed storage solutions. -
13
furl
The easiest way to parse and modify URLs in Python
...It also handles encoding automatically, including percent-encoding, Unicode domains, Unicode paths, and query strings. furl supports Python 3 and PyPy3 and is designed to be well tested and practical for everyday backend, scripting, and data-processing workflows. It is a good fit for developers who frequently need to clean, transform, generate, or normalize URLs in Python applications. -
14
Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.
-
15
mendelson OFTP2
Implementation of the OFTP2 protocol (RFC 5024)
The mendelson OFTP2 is a JAVA-based open source OFTP2 solution. It contains a logging- and configuration UI and supports encryption, digital signatures, message compression, TLS, certificate exchange, message routing, mail notification -
16
uriparser
RFC 3986 URI parsing and processing libary
PLEASE NOTE that we are in the process of moving to GitHub: https://github.com/uriparser/uriparser uriparser is a strictly RFC 3986 compliant URI parsing library written in C89. uriparser is cross-platform, fast, supports Unicode and is licensed under the New BSD license. PLEASE NOTE that we are in the process of moving to GitHub: https://github.com/uriparser/uriparser -
17
queXF
Web based, Open Source alternative to Remark OMR or Teleform
queXF, a CADE (Computer Assisted Data Entry) Tool, processes filled paper forms that were created in queXML, such as survey questionnaires. queXF can be used as a web based, Open Source alternative to programs such as Cardiff Teleform and Remark OMR. -
18
MBR Bulk WP Detector
A free WP plugin that lets you check unlimited URLs
MBR Bulk WP Detector is a free WordPress plugin that lets you check unlimited URLs right from your own dashboard. No subscriptions, no URL limits, and your data stays completely private on your server. What Can You Do With It? The basics are simple: Paste a list of URLs (or upload a CSV file), click a button, and boom—you’ve got a clear breakdown of which sites are running WordPress and which aren’t. But it gets better… Turn on Deep Scan mode, and you’ll also discover what... -
19
spider_collection
Collection of Python web scraping scripts for data extraction tasks
...In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. It also contains examples of proxy pool integration and encapsulation to support more reliable crawling when working with sites that enforce request limits. -
20
crawly
High-level web crawling and scraping framework for Elixir apps
Crawly is a high-level application framework for crawling websites and extracting structured data using the Elixir programming language. It provides a complete environment for building web crawlers that systematically visit pages, collect information, and transform that data into structured formats for further processing. Crawly is designed for tasks such as data mining, information processing, and building historical archives of web content. ... -
21
mlscraper
ML-based HTML scraper that learns extraction rules from examples
mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages. Once trained, the generated scraper... -
22
pspider
Simple Python framework for building multithreaded web crawlers
PSpider is a lightweight web crawling framework written in Python designed to simplify the development of custom web spiders. It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work... -
23
Abot
Fast and flexible C# framework for building customizable web crawlers
...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 crawl process by implementing or replacing core interfaces. Abot exposes an event-driven model that enables applications to react to crawling events such as page completion or crawl restrictions. It also provides configuration options that control crawling behavior including concurrency limits, crawl delays, and request parameters. ... -
24
ruia
Async Python framework for fast and flexible web scraping spiders
...It also supports middleware and plugin systems that allow customization of request handling, response processing, and additional functionality. -
25
csv-parser
Streaming csv parser inspired by binary-csv that aims to be faster
csv-parser is a streaming CSV parsing library for Node.js designed for efficiency and correctness. It implements the stream API native to Node, allowing you to pipe a file or readable stream into the parser and process each row (as a JavaScript object or array) as soon as it's parsed — which is crucial for handling large CSV files without loading them entirely into memory. The parser handles standard CSV semantics including quoted fields, variable delimiters, escape sequences, and optional...
