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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
A mature Minecraft plugin API (not including an implementation), licensed under the MIT License. If you do not have Gradle installed then use ./gradlew for Unix systems or Git Bash and gradlew.bat for Windows systems in place of any 'gradle' command. Sponge will use a javac version of at least 11. If an older JDK is used to launch Gradle, JDK 11 will be downloaded automatically. SpongeAPI is the tool developers use to create plugins for the Sponge platform.
...On Windows systems you should run gradlew instead of ./gradlew to invoke the Gradle wrapper. SpongeForge is the implementation of the Sponge API on the Minecraft Forge platform. Recommended for running plugins together with Forge mods. The purpose of the Sponge project is to create a plugin development framework for Minecraft: Java Edition. Sponge is being created by a global community, and its open-source nature means anyone can participate.
Modular Minecraft server plugin - commands, events, ...
This project gives you freedom to get a fully-customized plugin for CraftBukkit Minecraft servers. You choose what to include and build it up.
No more command collisions, no unnecessary memory and processor overhead on your server.
This plugin is designed for the minecraft community LetsPlay.nu. It contains several gamemodes like "Hunger Games", "Capture the Block" and "Diggy Diggy".
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.