Alternatives
Products that do what OutlierDetector does
Clean data starts with catching the unusual.
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- 6TV
2021 · github.com
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- 10WS
2018 · apify.com
- 11ES
2019 · causal.app
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WhatTheDuck is an in-browser sql tool to analyze csv files that uses duckdb-wasm under the hood. Please provide feedback/issues/pull requests.
2024 · github.com
- 15EI
2018 · github.com
- 16RL
We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com
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Outlier detection and analytics for YouTube creators
Jun 2026 · chromewebstore.google.com
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I built an open-source AIOps MCP (Monitoring & Control Plane) that detects anomalies in logs using Isolation Forest. It accepts logs from agents, apps, or collectors, parses and extracts features, and identifies unusual patterns in real time. Alerts can be sent to Slack, Webhooks, or PagerDuty. It’s lightweight, easy to deploy with Kubernetes & Helm, and designed to plug into existing observability stacks. I built this to experiment with combining ML-based anomaly detection and flexible alerting for DevOps/SRE teams. Most AIOps platforms are either too heavyweight or closed-source — I…
2025 · github.com
- 20CA
2015 · demo.capdatatechnologies.com
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2020 · github.com
- 22MA
2023 · exploit.observer
- 23CO
2021 · github.com
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Extract verified realtor data for smarter prospecting
12d ago · chromewebstore.google.com
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