Pipes

Programari d'anàlisi i visualització de dades

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A visual data manipulation environment lets you fetch and transform web data by linking blocks on a canvas, turning sources such as feeds and HTML pages into a coherent data pipeline without writing code. Its main features include a block-based, drag-and-drop interface; support for diverse sources like RSS feeds and HTML scraping; configurable function blocks for filtering, merging, extracting XML parts, and transforming data; open-web standards, sharing and forking of pipelines, and collaborative reuse; designed for non-programmers, data enthusiasts, researchers, journalists, and developers who want to prototype data workflows and automate data integration across the web.

Pipes es pot trobar a Data Analysis & Visualization Software categories.

Els productes més similars a Pipes són:

DivParser Perfil verificat Promogut → ScrapeStorm →

Captures de pantalla

Detalls

Característiques principals de Pipes

• Easy to use
  You can start quickly without needing to know how to program.
• Visual interface
  You have a canvas area where you can place blocks and connect them to move and change data.
• Many data sources
  You can start your pipe with almost anything on the web, like RSS feeds or HTML pages.
• Functions as Blocks
  Blocks have strong logic that lets you change your data stream.
• Share and fork pipes
  You can share your pipe with others or use existing pipes to get quick results.
• Support open standards
  You can help the open web by using and sharing open standards.
• Get and manipulate data
  Pipes helps you get and change data from the web by connecting different blocks.
• Powerful function blocks
  You can filter data, combine feeds, or extract parts of files easily with the available blocks.

Beneficis de Pipes

• Visual interface
  The easy-to-use canvas lets you see how data moves and changes, making it simple to understand.
• Share and collaborate
  You can share your work with others or use what they have made, which helps you get results faster.
• Powerful logic in blocks
  Each block has strong tools to change your data, allowing you to customize it to fit your needs.
• Versatile function blocks
  With many different blocks to choose from, you can easily filter, combine, or extract data as needed.
• Support for open standards
  Using open web standards helps you share and use data freely, benefiting everyone.
• Many data sources available
  You can start with almost any information on the web, giving you lots of options to work with.
• No programming experience needed
  You can get good results without knowing how to code, which makes it accessible for everyone.
• Get and manipulate data from the web
  Pipes helps you connect different data sources easily, making it simple to work with information online.

Qui hauria d'utilitzar Pipes?

• Beginners
  You can start using pipes easily without needing to know how to code.
• Businesses
  You can use pipes to gather and manipulate data from the web to make better decisions.
• Data Analysts
  You can connect different data sources and filter them to get the information you need.
• Web Developers
  You can build on existing pipes or share your own to help others in the community.
• Content Creators
  You can combine multiple feeds into one to find and share relevant content quickly.

Insígnies

<a href="https://saasbrowser.com/ca/saas/138083/pipes" target="_blank" rel="noopener"><img src="https://files.saasbrowser.com/ch9sbfx5wt0b42ytm6xrj7k008xl" alt="Pipes - SaaS Browser Verified Badge" width="200" height="133" /></a>

Còpia de la insígnia

<a href="https://saasbrowser.com/ca/saas/138083/pipes" target="_blank" rel="noopener"><img src="https://files.saasbrowser.com/trbj11e2sb8s84h68gqgilpz75e0" alt="Pipes - SaaS Browser Verified Badge" width="200" height="133" /></a>

Còpia de la insígnia

Alternatives a Pipes

DivParser

Perfil verificat

Promogut

An intelligent web scraper that automates data extraction with unparalleled p...

ScrapeStorm

This advanced visual web scraping tool enables users to effortlessly extract ...

Tecnologies utilitzades

Veure totes les tecnologies