BIRT is an Eclipse-based open source reporting system for web applications, especially those based on Java and J2EE. BIRT has two main components: a report designer based on Eclipse, and a runtime component that you can add to your app server. BIRT also offers a charting engine that lets you add charts to your own application.
The BIRT Project currently supports two releases 2.3.2 (Included in many comercial applications) and 2.5 (Latest). We encourage you to download BIRT, try it, and give us your feedback though the newsgroups and Bugzilla.
With BIRT, you can add a rich variety of reports to your application.
- Lists – The simplest reports are lists of data. As the lists get longer, you can add grouping to organize related data together (orders grouped by customer, products grouped by supplier). If your data is numeric, you can easily add totals, averages and other summaries.
- Charts – Numeric data is much easier to understand when presented as a chart. BIRT provides pie charts, line & bar charts and many more. BIRT charts can be rendered in SVG and support events to allow user interaction.
- Crosstabs – Crosstabs (also called a cross-tabulati服务器托管网on or matrix) shows data in two d服务器托管网imensions: sales per quarter or hits per web page.
- Letters & Documents – Notices, form letters, and other textual documents are easy to create with BIRT. Documents can include text, formatting, lists, charts and more.
- Compound Reports – Many reports need to combine the above into a single document. For example, a customer statement may list the information for the customer, provide text about current promotions, and provide side-by-side lists of payments and charges. A financial report may include disclaimers, charts, tables all with extensive formatting that matches corporate color schemes.
http://www.eclipse.org/birt/phoenix/
http://www.eclipse.org/birt/phoenix/intro/
服务器托管，北京服务器托管，服务器租用 http://www.fwqtg.net
机房租用，北京机房租用，IDC机房托管， http://www.fwqtg.net
相关推荐: 落地领域大模型应知必会 (1) ：主要微调方法总览
编者按：随着大规模预训练模型的发展和应用，大模型微调技术已经在很多领域都有了突破性的进展，并推动了人工智能技术的发展与应用。 本文会简要介绍上下文学习（in-context learning）的含义，并介绍对LLMs进行微调的各种可行方式。还能够帮助我们了解如…
