15 open-source projects similar to dhatim/fastexcel, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Fastexcel alternative.
DocSearch is an integrated toolset for adding search capabilities to documentation websites. It provides a JavaScript and React search interface for embedding autocomplete search bars, a dedicated web crawler to extract and synchronize site content into a searchable index, and a monitoring system to track user queries and interaction events. The project distinguishes itself by incorporating a conversational AI assistant powered by retrieval-augmented generation. This assistant grounds a large language model in a specific documentation index to provide factual answers, with configurable system
Read and write Excel (.xlsx, .xls) and CSV files in Java with one line of code. Annotation-based mapping, streaming for million-row files, built-in validation, 19 type converters. A simpler alternative to Apache POI.
Simple, efficient Excel to POJO library for Java
pdfminer is a Python library for parsing PDF files to extract text, analyze layouts, decrypt content, and convert documents into HTML or XML formats. It functions as a text extraction engine and layout analysis tool designed to retrieve characters and words while preserving the structural organization of the original document. The project provides utilities for converting PDF content into structured HTML or XML to maintain visual layout and a decryption tool for unlocking restricted documents using encryption keys. It identifies the positions and groupings of text elements to reconstruct page
Extract structured data from PDF invoices
A deep learning toolkit specialized for handwritten document analysis
A Python tool to help extracting information from structured PDFs.
Single-document unsupervised keyword extraction
Extract text, metadata and references (pdf, url, doi, arxiv) from PDF. Optionally download all referenced PDFs.
This project is a comprehensive framework and toolkit for developing, optimizing, and deploying transformer-based models across multimodal, document intelligence, and natural language processing tasks. It provides a unified neural architecture that processes text, vision, audio, and document layout data through a shared set of weights, enabling researchers and developers to build foundational models that align cross-modal representations. The platform distinguishes itself through advanced training and inference strategies designed for large-scale deep learning. It incorporates specialized mec
PyPDF2 is a pure Python library for reading, writing, and manipulating PDF files. It functions as a document manipulator, text extractor, and encryption tool, allowing users to process PDF files without relying on external C libraries or native binaries. The library provides specialized tools for modifying document structures, such as merging multiple files into one, splitting documents into separate files, and transforming page layouts through cropping. It also includes capabilities for securing documents via passwords and encryption. Additional capabilities include the extraction of writte