AI · alternatives · 2026
24 alternatives to Zebrium – ML that catches software incidents and shows you root cause
Skylar Advisor combines real-time observability data, rich operational context, and customer-owned knowledge to deliver explainable AI guidance for IT operations.
Zebrium uses machine learning to detect software incidents and identify their root causes. The platform analyzes system logs and events to automatically catch problems and trace them back to their source, helping… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Zebrium – ML that catches software incidents and shows you root cause launched in 2020; newer entries below may have overtaken it.
- 1
Let machine learning catch software problems
2020 · sciencelogic.com · its alternatives →
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GKE cluster using Litmus Chaos Engine to validate Zebrium's unsupervised Machine Learning incident detection platform - zebrium/zebrium-kubernetes-demo
2020 · github.com · its alternatives →
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Comet.ml▲208Automatically track machine learning code and experiments
2018 · comet.com · its alternatives →
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Signum.AI 4.0▲260Boost up-sell, cross-sell and prevent churn using AI
2023 · signum.ai · its alternatives →
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Uncover gaps in your tech team and hire the best fit with AI
2024 · its alternatives →
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Zeda.io 2.0▲495AI-powered product discovery for customer-focused teams
2023 · zeda.io · its alternatives →
- 9
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
- 10
ZEPTO▲63A self-serviceable analytics tool with AI driven Insights.
2019 · zepto.io · its alternatives →
- 11
Maxium AI (Beta)▲302Optimise developer efficiency, going beyond lines of code
2024 · maxium.ai · its alternatives →
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MonkeyLearn 3.0▲363Get actionable data from text with machine learning
2018 · medallia.com · its alternatives →
- 13UM
2017 · beta.overseerlabs.io · its alternatives →
- 14
Signum.AI 3.0▲124We help Marketers find new leads using behavioral data
2022 · signum.ai · its alternatives →
- 15
Joshua Bloom, CTO of Wise.io dives into machine learning
2016 · softwareengineeringdaily.com · its alternatives →
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Weave▲237Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…
2025 · app.workweave.ai · its alternatives →
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Middleware▲257Open-source DORA metrics for software engineering teams
2024 · github.com · its alternatives →
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NannyML▲155OSS Python library for detecting silent ML model failure
2022 · github.com · its alternatives →
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Use AI to analyze external environment of your company
2019 · signum.ai · its alternatives →
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I've spent the past few years building 50+ AI agents in prod (some reached 1M+ sessions/day), and the hardest part was never building them — it was figuring out why they fail. AI agents don't crash. They just quietly give wrong answers. You end up scrolling through traces one by one, trying to find a pattern across hundreds of sessions. Kelet automates that investigation. Here's how it works: 1. You connect your traces and signals (user feedback, edits, clicks, sentiment, LLM-as-a-judge, etc.) 2. Kelet processes those signals and extracts facts about each session 3. It forms hypotheses…
Apr 2026 · kelet.ai · its alternatives →
- 24PF
2016 · overseerlabs.io · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →