# krahets/hello-algo > A course on data structures and algorithms with animations and ready-to-run code. Helps beginners understand algorithm principles in various languages. - Magnitude: 2.2 out of 10 — Steady - Stars: 132,314 total · +12 stars measured 2026-11-14, 00:06–11:16 UTC, ≈ 28 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Python · Created: 2022-11-04 · Last push: 2026-11-10 - GitHub: https://github.com/krahets/hello-algo · Homepage: https://www.hello-algo.com · Page: https://gitnova.dev/en/r/krahets/hello-algo ## Useful for - Study algorithm operation through interactive examples. - Practice implementing data structures in Python or Java. - Understand algorithm principles using animations. ## Why it’s here - Star-counter measurements on 2026-11-14 (UTC), 00:06–11:16: 132302 → 132314 stars (+12). This is the change over that interval. - Estimated end-of-day forecast: about +28 stars, using observed gains and the previous day. - About 7 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 15,619 - Issues and pull requests: 1,609 - Watchers: 684 - Average over the last week: 54 per day - Usual pace: 59 per day - Stars in the last hour (measured): 0 - Latest release: 1.3.0 (2026-01-01) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-16 … 2026-11-14: 44, 31, 25, 37, 33, 24, 39, 30, 40, 255, 239, 120, 97, 67, 96, 46, 46, 47, 41, 29, 37, 31, 29, 48, 62, 84, 71, 55, 34, 12 ## Magnitude by day, last 4 days 11-11 2.8, 11-12 3.0, 11-13 2.6, 11-14 2.3 ## More in this category 1. **JenkinWoo/sheeridVerify** — 3.9 · Breakout · Learning & lists · JavaScript · +299 stars measured 2026-11-14, 00:03–11:14 UTC, ≈ 652 by evening · unusual star pattern (heuristic) A Node.js educational project with a local web workbench, task queue and browser automation for studying the SheerID verification flow for teaching and research purposes. Full card: https://gitnova.dev/en/r/JenkinWoo/sheeridVerify.md 2. **public-apis/public-apis** — 3.8 · Steady · Learning & lists · Python · +112 stars measured 2026-11-14, 00:05–11:14 UTC, ≈ 249 by evening A community-curated list of free public APIs across dozens of categories, from animals and anime to finance, geocoding and weather. Aimed at developers looking for a ready-made API for a prototype or product. Full card: https://gitnova.dev/en/r/public-apis/public-apis.md 3. **awesome-dsh-plugin/awesome-dsh-plugin** — 3.6 · Cooling · Learning & lists · JavaScript · +56 stars measured 2026-11-14, 00:05–11:14 UTC, ≈ 117 by evening A curated list of plugins for DeepSeek Harness (dsh) — a collection of extensions for this environment. Useful for those looking for ready-made dsh plugins. Full card: https://gitnova.dev/en/r/awesome-dsh-plugin/awesome-dsh-plugin.md 4. **amosblomqvist/learnharness** — 3.2 · Cooling · Learning & lists · TypeScript · +50 stars measured 2026-11-14, 00:04–11:15 UTC, ≈ 133 by evening A desktop app that uses AI agents to plan and teach lessons from your current understanding to a goal, tracking progress in a persistent knowledge graph. Full card: https://gitnova.dev/en/r/amosblomqvist/learnharness.md 5. **avelino/awesome-go** — 3.2 · Steady · Learning & lists · Go · +73 stars measured 2026-11-14, 00:04–11:15 UTC, ≈ 170 by evening A curated list of Go frameworks, libraries, and software, organized by categories ranging from AI and databases to web frameworks and testing. Full card: https://gitnova.dev/en/r/avelino/awesome-go.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-11-14 11:22 UTC, updated every 30 minutes.