# Dishank1501/robot-fleet-analytics

> Interactive Streamlit dashboard for analyzing autonomous robot fleet performance: task success, failures, downtime, battery usage, and reliability from MySQL data.

- Magnitude: 0.2 out of 10 — Quiet
- Stars: 95 total · +0 stars measured 2026-10-09, 15:36–17:25 UTC, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Data & analytics · Language: Python · Created: 2026-10-08 · Last push: 2026-10-08
- GitHub: https://github.com/Dishank1501/robot-fleet-analytics · Page: https://gitnova.dev/en/r/Dishank1501/robot-fleet-analytics

## Useful for

- Run a dashboard to monitor a robot fleet from MySQL
- Identify failure-prone locations and task types
- Compare robots by task completion time and downtime

## Why it’s here

- Star-counter measurements on 2026-10-09 (UTC), 15:36–17:25: 95 → 95 stars (+0). This is the change over that interval.
- The repository is 1 day old and already has 95 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #189.

## 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: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 6 days (oldest → newest, today is partial)

2026-10-04 … 2026-10-09: 0, 0, 0, 0, 1, 0

## Spotted in now

- Top new repositories this week: #189

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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 2026-10-09 17:26 UTC, updated every 30 minutes.