Search Results for "text compare"
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Showing 121 open source projects for "text compare"
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International Components for Unicode
The home of the ICU project source code
...ICU is released under a nonrestrictive open-source license that is suitable for use with both commercial software and with other open-source or free software. Convert text data to or from Unicode and nearly any other character set or encoding. ICU's conversion tables are based on charset data collected by IBM over the course of many decades and is the most complete available anywhere. Compare strings according to the conventions and standards of a particular language, region or country. ICU's collation is based on the Unicode Collation Algorithm plus locale-specific comparison rules from the Common Locale Data Repository, a comprehensive source for this type of data. -
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Gitember 2
Gitember another git GUI client written on javafx
November, December, Gitember. Just another GIT gui client just for fun. Full-text search across history, including binary files. Search in open files. Add change annotation, and branch differences with item details. Add an overview for different components. Added LFS support. With SSH only. Fast file compare, the text flow changed to rich text fx. Mass operations - delete, stage, unstage, and revert. -
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PDF4QT
Open source PDF editor
...For users, there are four applications offering many features. The project is hosted on Github and uses the license LGPLv3. The applications are primarily used by target users to view, edit, manipulate or compare PDF documents. Users can preview these applications in the screenshots section of this webpage. Basic browsing and lots of other functionalities, such as encryption, reading a document, verification of digital signatures, editing of annotations, searching for text using regular expressions, drawing pages into an image, and much more. ... -
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Monkeytype
The most customizable typing website with a minimalistic design
Monkeytype is a minimalistic and highly customizable typing test website built for speed practice, accuracy tracking, and typing habit improvement. It offers multiple test modes so users can practice with words, quotes, custom text, timed tests, and other variations. The interface is designed to feel natural by showing typed characters in place and providing immediate feedback on errors, speed, and accuracy. Users can create accounts to save typing history, review progress, and compare results over time. The project also includes many personalization options, including themes, sounds, caret behavior, layouts, and other user-configurable settings. ... -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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listmonk
High performance, self-hosted, newsletter and mailing list manager
...Use the super fast bulk importer (10k records per second) or use HTTP/JSON APIs or interact with the simple table schema to integrate external CRMs and subscriber databases. Visualize and compare campaign performance. Connect external visualization programs to the database easily with the simple table structure. Create powerful, dynamic e-mail templates with the Go templating language. Use template expressions, logic, and 100+ functions in subject lines and content. Write HTML e-mails in a WYSIWYG editor, Markdown, raw syntax-highlighted HTML, or just plain text. ... -
6
TextDistance
Compute distance between sequences
Python library for comparing the distance between two or more sequences by many algorithms. For main algorithms, text distance try to call known external libraries (fastest first) if available (installed in your system) and possible (this implementation can compare this type of sequences). Install text distance with extras for this feature. Textdistance use benchmark results for algorithm optimization and try to call the fastest external lib first (if possible). ... -
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bilingual_book_maker
Make bilingual epub books Using AI translate
bilingual_book_maker is an AI-assisted translation tool for creating bilingual and multilingual versions of books and text files. It is designed to process formats such as EPUB, TXT, SRT, and PDF, then generate translated output that helps readers compare the original text with the target language. The project supports multiple AI providers and models, including OpenAI-compatible models and other translation backends through LiteLLM-style integrations. -
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Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
Gallery is a curated collection of on-device machine learning examples, demo apps, and model artifacts designed to help developers experiment with and deploy ML at the edge. The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid... -
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Sweetviz
Visualize and compare datasets, target values and associations
Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. "Survived" in the Titanic... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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dLLM
dLLM: Simple Diffusion Language Modeling
dLLM is an open-source framework designed to simplify the development, training, and evaluation of diffusion-based large language models. Unlike traditional autoregressive models that generate text sequentially token by token, diffusion language models generate text through an iterative denoising process that refines masked tokens over multiple steps. This approach allows models to reason over the entire sequence simultaneously and potentially produce more coherent outputs with bidirectional context. The project provides an integrated pipeline that standardizes how diffusion language models are trained, evaluated, and deployed, helping researchers reproduce experiments and compare results more easily. ... -
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Job Recommend
The basics of building a job recommendation workflow
Job-Recommend explores the basics of building a job recommendation workflow, from data preparation to ranking simple candidate matches. It treats job postings and résumés as structured items and applies straightforward matching signals such as keywords, skills overlap, or vectorized features. The repository is educational in spirit, focusing on clarity rather than heavy infrastructure or opaque models. You can study how to transform raw text into features and how to evaluate simple... -
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bufferline.nvim
A snazzy bufferline for Neovim
A snazzy buffer line (with tab page integration) for Neovim built using Lua. This plugin shamelessly attempts to emulate the aesthetics of GUI text editors/Doom Emacs. It is advised that you specify either the latest tag or a specific tag and bump them manually if you'd prefer to inspect changes before updating. -
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rate.sx
Curl cryptocurrencies exchange rates
rate.sx is a command-line-friendly cryptocurrency rate service designed to be queried with curl or a browser, returning clean text or minimal markup. It emphasizes human-readable output by default, with options for concise one-liners or richer summaries including sparkline-style ASCII charts. The service supports multiple coins, fiat conversions, and historical lookups so you can compare prices over time without leaving the terminal. Under the hood it aggregates price feeds and normalizes the results for robust querying, yet keeps the interface dead simple. ... -
14
Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
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Lingvo
Framework for building neural networks
Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state... -
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pprof
pprof is a tool for visualization and analysis of profiling data
pprof is a profiling visualization and analysis tool that ingests profiles in the profile.proto format and generates human-readable and graph-based reports. It supports multiple profile types (CPU, heap, allocations, contention, etc.) and can present data as text tables, call graphs (via Graphviz/dot), flame graphs, and interactive web UIs. The tool helps developers find hot paths, quantify resource usage, and compare profiles across runs to validate performance changes. It is widely used in Go but also has bindings and exporters for other ecosystems, and the repository includes a Go package for reading and writing profiles programmatically. ... -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a... -
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nbdime
Tools for diffing and merging of Jupyter notebooks
nbdime provides tools for diffing and merging Jupyter notebooks. Jupyter notebooks are useful, rich media documents stored in a plain text JSON format. This format is relatively easy to parse. However, primitive line-based diff and merge tools do not handle well the logical structure of notebook documents. nbdime, on the other hand, provides “content-aware” diffing and merging of Jupyter notebooks. It understands the structure of notebook documents. Therefore, it can make intelligent... -
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WinMerge
Windows visual diff and merge for files and directories
WinMerge is a Windows tool for visual difference display and merging, for both files and directories. It is highly useful for determining what has changed between file versions, and then merging those changes. WinMerge has Unicode support, Flexible syntax coloring editor, Visual SourceSafe integration, and Windows Shell integration. Regexp filtering for filenames and lines. Side-by-side line difference and highlights differences inside lines. A file map shows the overall file differences in... -
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Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved... -
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whatsdiff
CLI tool to see what has changed in your project's dependencies
Whatsdiff is a command-line tool built to help developers inspect and understand changes in project dependencies after running a package update (for Node.js with npm or PHP with Composer). Instead of just seeing version numbers scroll by, Whatsdiff allows you to compare the package-lock.json or composer.lock between commits, branches, or tags, and see exactly what changed in your dependencies—including version jumps, added or removed packages, churn, and often included changelogs. It offers an interactive Terminal UI mode for browsing these changes more comfortably, and supports multiple output formats (text, JSON, Markdown) so you can integrate it into CI/CD pipelines or documentation workflows. ... -
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Multimodal
TorchMultimodal is a PyTorch library
...The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained. -
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Nimble
A Matcher Framework for Swift and Objective-C
...XCTest forces you to write a lot of boilerplate code. Nimble addresses these concerns. Would you like to add more information to the test's failure messages? Use the description optional argument to add your own text. Nimble makes sure you don't compare two types that don't match. Tired of so much typing? With Nimble, you can use overloaded operators like == for equivalence, or > for comparisons. -
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KDiff3
A graphical text difference analyzer
...See https://invent.kde.org/sdk/kdiff3 for the newest code and https://download.kde.org/stable/kdiff3/ for release bundles. All bugs should be filed at bugs.kde.org. KDiff3 is a graphical text difference analyzer for up to 3 input files, provides character-by-character analysis and a text merge tool with integrated editor. It can also compare and merge directories. Platform-independant. -
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Notepad--
Notepad for Windows, Linux, and Mac platforms
Notepad-- a text editor written in C++ that works seamlessly across Windows, Linux, and Mac platforms. Our aim is to eventually surpass Notepad++, with a particular focus on the MacOS and Chinese UOS operating system. Unlike Notepad++, our advantage lies in our cross-platform compatibility and support for various OSes. If you are using MacOS and want to find a useful text editor, please try Ndd, it won't disappoint you. My Github homepage is: https://github.com/cxasm/notepad--
