Dev tools · alternatives · 2026
24 alternatives to CueObserve – Open-source Anomaly detection on SQL data
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases - cuebook/CueObserve
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. CueObserve – Open-source Anomaly detection on SQL data launched in 2021; newer entries below may have overtaken it.
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A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
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OpenTelemetry-native observability for agents and LLMs
Aug 2026 · openobserve.ai · its alternatives →
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Anomalofree tier▲302Your data is always talking. Don't miss what it's saying.
Sep 2026 · anomalo.com · its alternatives →
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Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
2020 · github.com · its alternatives →
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With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.
2022 · opendatadiscovery.org · its alternatives →
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Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
2020 · github.com · its alternatives →
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MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
2021 · github.com · its alternatives →
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Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io · its alternatives →
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Streamdal▲143Detect and resolve data quality incidents faster
2023 · streamdal.com · its alternatives →
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Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Hi! We are excited to announce the second release of Desbordante — an open-source, high-performance data profiler that is capable of discovering and validating many different patterns in data using various algorithms. Unlike existing data profilers, Desbordante focuses on discovering complex patterns in data, which are notoriously hard to extract. Since its inception in 2019, it has become the fastest open-source tool for these tasks. It also offers an array of patterns which have no alternative implementations. With this release, Desbordante now supports 17 types of patterns, such as:…
2024 · github.com · its alternatives →
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Automatically identify anti-patterns in SQL queries - jarulraj/sqlcheck
2017 · github.com · its alternatives →
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Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
2021 · github.com · its alternatives →
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The Prometheus monitoring system and time series database. - zebrium/prometheus
2020 · github.com · its alternatives →
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2013 · getanomalous.com · its alternatives →
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Find changes in time series data
2024 · tractionroad.com · its alternatives →
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The Numenta Anomaly Benchmark. Contribute to numenta/NAB development by creating an account on GitHub.
2015 · github.com · its alternatives →
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Metrics Observability & Troubleshooting. Contribute to data-drift/data-drift development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Discover XTDB, an open source bitemporal database that combines document storage with graph querying capabilities and flexible time-based data models
2019 · juxt.pro · its alternatives →
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GPU Profiler for AI agents. Contribute to graphsignal/graphsignal development by creating an account on GitHub.
2021 · github.com · its alternatives →
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The problem we solve is profiling tables: this is the initial step where you need to understand the table and identify any anomalies. During the process, many small decisions require semantic understanding. For example, missing values are normal for 'deathdate' (still alive) but abnormal for 'name.' For outliers, 100 for ages is fine, but some are -1, which is impossible! We use LLMs to semantically understand your tables and detect anomalies. You can try it by uploading a CSV, and we will email back the profile: https://cocoon-data-transformation.github.io/page/ Let me…
2024 · github.com · 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 →