{"name":"word-atlas: Learn IELTS Vocabulary with Illustrated FSRS Review","description":"Word Atlas is a browser-based IELTS vocabulary app built with React and TypeScript, using FSRS for spaced review. It pairs illustrated word cards, UK and US audio, and practice exercises with a downloadable vocabulary dataset; learning progress stays on the user’s device.","github":"https://github.com/designfuchen/word-atlas","url":"https://osrepos.com/repo/designfuchen-word-atlas","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/designfuchen-word-atlas","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/designfuchen-word-atlas.md","json":"https://osrepos.com/repo/designfuchen-word-atlas.json","topics":["typescript","react","web-app","education","ielts-vocabulary","spaced-repetition","flashcards"],"keywords":["typescript","react","web-app","education","ielts-vocabulary","spaced-repetition","flashcards"],"stars":null,"summary":"Word Atlas is a browser-based IELTS vocabulary app built with React and TypeScript, using FSRS for spaced review. It pairs illustrated word cards, UK and US audio, and practice exercises with a downloadable vocabulary dataset; learning progress stays on the user’s device.","content":"## Overview\n\nWord Atlas is a browser-based IELTS vocabulary app built with React and TypeScript, with the ts-fsrs library handling spaced repetition. It is designed to make vocabulary easier to understand and review by pairing words with illustrations, bilingual definitions, example sentences, and UK and US audio. The app works without an account and stores learning progress on the user’s device; the README says an iOS app is in development, not that it is available now.\n\nAlongside the app, the repository provides a reusable vocabulary dataset and its associated media. It is aimed at IELTS and English learners who want a visual study tool, and developers or educators who want vocabulary material for their own learning tools or research.\n\n## Key Features\n\n- Vocabulary cards include illustrations, English and Chinese definitions, example sentences, collocations, word families, and usage notes.\n- UK and US pronunciations and example-sentence audio support listening practice.\n- Practice modes include word selection, image-based sentence completion, listening recognition, and spelling.\n- FSRS schedules reviews from learning history, with an adjustable target retention rate.\n- A WebGL2 vocabulary map organizes words by topic and displays learning progress, with a fallback for devices that do not support WebGL2.\n- Local progress can be exported and restored, and visited words and media can be cached for offline use.\n- The dataset is available in JSON and CSV for use in other study tools, including Anki decks.\n\n## Use Cases\n\n- IELTS learners can study vocabulary with illustrations and examples, then use scheduled review to revisit words.\n- English learners can practice listening and spelling alongside meanings, using UK or US pronunciation.\n- Teachers and learning-tool developers can reuse the dataset and media to build vocabulary activities or study resources.\n- Researchers can inspect or filter the structured word data for vocabulary-related projects.\n\n## Our Take\n\nWord Atlas is a promising, feature-rich vocabulary study app and dataset, but its very recent, single-contributor development makes it an early-stage choice rather than a proven long-term dependency.\n\n**Good fit if:**\n- You want an illustrated IELTS vocabulary app with audio and FSRS review, and are comfortable using a browser-based tool.\n- You need a structured English-learning dataset for a personal project and can meet the CC BY 4.0 attribution terms for the content.\n- You are comfortable with a project that has recent activity but no release history yet.\n\n**Look elsewhere if:**\n- You need a mature project with a track record of releases or a larger contributor base.\n- You require individually human-reviewed vocabulary content. The README says generated text and illustrations have not been reviewed word by word and may contain errors.\n- You need a currently available iOS app. The README describes iOS as in development.\n\n## Project Health\n\n| Signal | Value |\n|---|---|\n| Status | **New**: less than six months old |\n| Last commit | 2026-10-27 (today) |\n| Commits, last 90 days | 12 |\n| Releases, last 12 months | 0 |\n| Contributors | 1 |\n| Issues closed, last 90 days | 2 |\n| Pull requests merged, last 90 days | 0 |\n| Project age | 2 days |\n\nChecked on 2026-10-27 with the GitHub API.\n\n## Project Facts\n\n- Language: TypeScript\n- Stars: 2.4k\n- Forks: 576\n- Topics: chinese, dataset, english-learning, flashcards, fsrs, ielts, language-learning, pwa\n- Website: https://0xlei.tech/words/\n- Archived: no\n\n## What You Need\n\nDetected in the repository:\n\n- Node.js (from package.json)\n\n## Getting Started\n\nRequires Node.js 20 or later and npm:\n\n```bash\ngit clone --depth 1 https://github.com/designfuchen/word-atlas.git\ncd word-atlas\nnpm ci\nnpm run dev\n```\n\nOpen `http://localhost:5188`. See the [README](https://github.com/designfuchen/word-atlas#readme) for build, deployment, and dataset details.\n\n## License in Plain Words\n\nNo standard license was detected. Without a license, the default copyright rules apply: you may read the code, but not reuse it. Check the repository or ask the authors.\n\n## Alternatives\n\n- [qwerty-learner](https://osrepos.com/repo/realkai42-qwerty-learner): Qwerty Learner pairs vocabulary review with typing drills, while Word Atlas focuses on IELTS word cards, audio, and exercises.\n- [read-frog](https://osrepos.com/repo/mengxi-ream-read-frog): Read Frog supports language study while browsing with translation and AI tools, whereas Word Atlas is a standalone IELTS vocabulary app.\n\n| Project | Language | License | Stars | Status |\n|---|---|---|---|---|\n| **word-atlas** | TypeScript | – | 2.4k | New |\n| [qwerty-learner](https://osrepos.com/repo/realkai42-qwerty-learner) | TypeScript | GPL-3.0 | 23.3k | Maintained |\n| [read-frog](https://osrepos.com/repo/mengxi-ream-read-frog) | TypeScript | GPL-3.0 | 10k | Active |\n\n## Considerations\n\nThe repository is very new, with recent commits but no releases reported in the past year. Development is concentrated in one contributor, and the measured history shows limited recent issue closure. These signals leave little evidence about maintenance over time. The README also cautions that generated vocabulary content, illustrations, and audio may contain errors because they have not all received individual human review. The application code is MIT-licensed, while vocabulary text, illustrations, and word audio use CC BY 4.0 and require attribution. Check the project’s [license files](https://github.com/designfuchen/word-atlas) before redistributing content.","metrics":{"detailViews":1,"githubClicks":0},"dates":{"published":null,"modified":"2026-10-27T23:11:23.000Z"}}