# explaindb/explaindb

> Teaching materials for a database systems course: a collection of Jupyter notebooks and a didactic DBMS written in Python for understandability rather than speed.

- Magnitude: 2.5 out of 10 — Early signal
- Stars: 38 total · +0 stars today, ≈ 9 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Jupyter Notebook · License: AGPL-3.0 · Created: 2026-09-02 · Last push: 2026-10-02
- GitHub: https://github.com/explaindb/explaindb · Page: https://gitnova.dev/en/r/explaindb/explaindb

## Useful for

- Study B⁺-tree, bitmap indexes and Bloom filters through the notebooks
- Walk through join-order enumeration algorithms (DPsize, DPsub, DPccp) with examples
- Run the notebooks in the browser via Binder without local installation

## Why it’s here

- 0 stars so far today, about 9 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 32 days old and already has 38 stars.
- Hacker News: “ExplainDB: A Database System Built for Understandability” — 20 points, 2 days ago.

## 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: 4
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 7 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 0

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-05 … 2026-10-04: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 23, 9, 0

## Magnitude by day, last 2 days

10-03 3.1, 10-04 2.5

## Hacker News

- ExplainDB: A Database System Built for Understandability — 20 points, 0 comments: https://news.ycombinator.com/item?id=49924795

## Spotted in now

- Spotted on Hacker News

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---

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 2026-10-04 00:26 UTC, updated every 30 minutes.