Best Open Source Reporting Tools(转载)

本文介绍了12款优秀的开源报表工具,包括iReport、JavaEye Reporting Tool等。这些工具支持多种数据源和输出格式,如PDF、HTML、CSV等,并且具备灵活的报告设计能力。

Best Open Source Reporting Tools


Impress your clients with professional reports using these excellent reporting tools.

1. iReport

iReport is the free, open source report designer for JasperReports, available for all major operating systems under the GNU General Public License. Use iReport to create very complex layouts containing charts, images, subreports, crosstabs and much more. Access your data through JDBC, TableModels, JavaBeans, XML, Hibernate, CSV, and custom sources. Then publish your reports as PDF, RTF, XML, XLS, CSV, HTML, XHTML, text, DOCX, or OpenOffice.


2. JavaEye Reporting Tool – JERT

JavaEye Reporting Tool (JERT) is an open-source, web-based database reporting tool. It allows you to create flexible reports without any programming (though you ll need SQL knowledge). It s a lightweight reporting environment, the report can be created to quickly share information via web.
3. Rilb

RLIB is an advanced reporting engine that generates professional reports in PDF, HTML, CSV, and text formats from a simple XML definition language.

4. The Wabit – Open Source Reporting Tool

Recognizing that end-users struggling with overly-complex BI Tools is the number 1 reason why Business Intelligence projects fail to deliver the desired ROI, the Wabit was designed to conquer this primary issue.

5. DataVision

DataVision is an Open Source reporting tool similar to Crystal Reports. Reports can be designed using a drag-and-drop GUI. They may be run, viewed, and printed from the application or exported as HTML, XML, PDF, Excel, LaTeX2e, DocBook, or tab- or comma-delimited text files. The output files produced by LaTeX2e and DocBook can in turn be used to produce PDF, text, HTML, PostScript, and more.

6. ART – A lightweight reporting solution

ART is a lightweight, multiplatform web based query tool and reporting environment. SQL queries can be published in a few minutes. It supports tabular, crosstab, charts, scheduling, email alerts. Results are exportable to spreadsheet, pdf or can be embedded in a portal-like page to create a simple but effective Business Intelligence solution.

7. Magallanes

The open source project JMagallanes is an end user application for Olap and Dynamic Reports written in Java/J2EE. It combines static reports (based on JasperReports), a Swing pivot table for OLAP analysis, and charts (based on JFreeChart). It reads from many data sources as SQL, Excel, XML, and others, and produces many outputs as PDF, XML, and application specific files for later off-line visualization of reports.

8. FreeReportBuilder

FreeReportBuilder is a Java Report tool that can work with any database that has a JDBC driver.

9. OpenReports

OpenReports is a powerful, flexible, and easy to use open source web reporting solution that provides browser based, parameter driven, dynamic report generation and flexible report scheduling capabilities. OpenReports supports a variety of open source reporting engines, including JasperReports, JFreeReport, JXLS, and Eclipse BIRT, to provide support for a wide range of reporting requirements and capabilities.

10. OpenRPT

As part of all three xTuple ERP Editions, built with the PostgreSQL database and the Qt GUI client framework, we built our own SQL report writer from scratch. Like the ERP, it runs equally well on Windows, Linux, and Mac OS X. We call it OpenRPT.

11. Pentaho

Pentaho Reporting is a collection of open source projects primarily focused on the creation, generation and distribution of rich and sophisticated report content from all sources of information.

12. BIRT Project

BIRT is an open source Eclipse-based reporting system that integrates with your Java/J2EE application to produce compelling reports.

转载:http://apps.open-libraries.com/best-open-source-reporting-tools/

转载于:https://www.cnblogs.com/wuhenke/archive/2010/09/14/1826290.html

标题基于Python的自主学习系统后端设计与实现AI更换标题第1章引言介绍自主学习系统的研究背景、意义、现状以及本文的研究方法和创新点。1.1研究背景与意义阐述自主学习系统在教育技术领域的重要性和应用价值。1.2国内外研究现状分析国内外在自主学习系统后端技术方面的研究进展。1.3研究方法与创新点概述本文采用Python技术栈的设计方法和系统创新点。第2章相关理论与技术总结自主学习系统后端开发的相关理论和技术基础。2.1自主学习系统理论阐述自主学习系统的定义、特征和理论基础。2.2Python后端技术栈介绍DjangoFlask等Python后端框架及其适用场景。2.3数据库技术讨论关系型和非关系型数据库在系统中的应用方案。第3章系统设计与实现详细介绍自主学习系统后端的设计方案和实现过程。3.1系统架构设计提出基于微服务的系统架构设计方案。3.2核心模块设计详细说明用户管理、学习资源管理、进度跟踪等核心模块设计。3.3关键技术实现阐述个性化推荐算法、学习行为分析等关键技术的实现。第4章系统测试与评估对系统进行功能测试和性能评估。4.1测试环境与方法介绍测试环境配置和采用的测试方法。4.2功能测试结果展示各功能模块的测试结果和问题修复情况。4.3性能评估分析分析系统在高并发等场景下的性能表现。第5章结论与展望总结研究成果并提出未来改进方向。5.1研究结论概括系统设计的主要成果和技术创新。5.2未来展望指出系统局限性并提出后续优化方向。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值