This article explores how an AI workflow platform built on the open‑source Dify project automates data collection, processing, and report generation, reducing manual effort while improving analysis accuracy and providing actionable insights for project progress.
This article explains how to use the poi‑tl Java library to create Word report templates, define common tags such as text, images, tables, lists, and charts, encapsulate them with enums and factories, and generate complete reports through a reusable utility class.
This guide explains how to use the JXLS Java library to create complex, template‑driven Excel reports, covering setup, core concepts like XlsArea, looping, conditional rendering, dynamic grids, merging cells, image insertion, and formula handling with practical code examples.
This article explains how to use PHP to collect, process, and visualize data from sources such as CSV files, then design report templates and export the results as PDFs using libraries like Chart.js, PHPlot, TCPDF, and PHPExcel.
This article describes a web‑based custom report export platform that lets users edit PPT templates with text, images, and charts, synchronizes changes via DVA state management, and generates fully populated PPTX reports in minutes using PptxGenJS and GraphQL data integration.
This article explains how to quickly generate clear, visual HTML test reports using the unittestreport framework, covering installation, basic usage, data‑driven testing, multithreading, email notifications, SSL fixes, and compatibility extensions with HTMLTestRunner for both unittest and pytest environments.
This article demonstrates how to replace tedious manual Excel reporting by using Python libraries pandas and xlwings to read multiple sheets, merge data, write the combined DataFrame back to Excel, and apply conditional formatting such as font colors, borders, and cell shading based on statistical thresholds.
This article walks you through the complete process of automating Excel report generation with Python, covering Excel fundamentals, a five‑step workflow, practical code examples using pandas and openpyxl, and techniques for merging results into a single workbook or multiple sheets.
This tutorial walks through setting up a Python environment, installing libraries, creating and editing Word documents with python-docx, converting files and generating PDFs using win32com, extracting Excel data with xlrd, visualizing scores with matplotlib, and automating batch document generation with docx-mailmerge.
This article walks you through automating daily loan reporting for a bank using Python and pandas, covering data loading, date filtering, table splitting, column renaming, concatenation, missing‑value handling, calculated fields, and pivot‑table generation to replace repetitive Excel tasks.
This article provides a step‑by‑step guide on using the PhpSpreadsheet library in PHP to create, style, and populate Excel worksheets, covering object instantiation, cell merging, formatting, data insertion, and exporting the file as an XLSX document.
This article describes a complete solution for generating customized Robot Framework test reports by parsing the output.xml file, extracting test case statistics and details with Python, rendering them into an HTML template using Jinja2, and finally sending the report via email.
This article guides readers through setting up a Python environment, installing BeautifulReport, organizing test projects, and combining unittest with multithreading to produce a single, polished HTML test report while addressing common pitfalls and configuration issues.
This guide introduces a Python tool that automates the creation of descriptive and cross‑analysis survey reports in PPT and Excel formats, covering installation, data preparation, quick‑start code snippets, and additional utility functions for comprehensive statistical reporting.
