Dev tools · alternatives · 2026
24 alternatives to NAB – The Numenta Anomaly Benchmark
The Numenta Anomaly Benchmark. Contribute to numenta/NAB development by creating an account on GitHub.
NAB is an anomaly detection benchmark dataset and evaluation framework developed by Numenta. It provides standardized time series data and metrics for testing anomaly detection algorithms. The tool is designed for… 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. NAB – The Numenta Anomaly Benchmark launched in 2015; newer entries below may have overtaken it.
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The Numenta Anomaly Benchmark. Contribute to numenta/NAB development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 2
The NUS School of Computing is recognised among the top global universities for computer science; and exemplifies academic excellence and innovative research.
2020 · comp.nus.edu.sg · its alternatives →
- 3
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 4
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 →
- 5
PHBench▲398Predict the next Series A from a ProductHunt launch
May 2026 · phbench.com · its alternatives →
- 6
Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 7
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
2020 · github.com · 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 →
- 10
Build analytics in minutes
2019 · ananasanalytics.com · its alternatives →
- 11
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 12
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases - cuebook/CueObserve
2021 · github.com · its alternatives →
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Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
2021 · github.com · its alternatives →
- 14
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 →
- 15
Predict business credit risk using bank data
2023 · herondata.io · its alternatives →
- 16
Link RATUKILAT77 menghadirkan panduan lengkap dengan strategi simpel agar peluang menang semakin besar setiap hari. Nikmati pengalaman bermain game slot online dengan sistem modern, akses cepat, dan potensi kemenangan fantastis dari platform gaming terpercaya yang siap bikin cuan makin maksimal.
2016 · gitlogs.com · its alternatives →
- 17
Best no-code anomaly detection engine for Google Analytics
2022 · baresquare.com · its alternatives →
- 18
An open-source benchmark of how much code AI models add.
10d ago · parsimony.lasu.dev · its alternatives →
- 19
This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
2024 · github.com · its alternatives →
- 20
Instantaneous bank statement PDF parsing and fraud detection
2022 · herondata.io · its alternatives →
- 21
I always had a sweet tooth for how easy it is to use google/benchmark, but when working with js, current libraries didn't feel right and some were not even accurate enough, so I decided to create my own library to make JavaScript benchmarking tooling better. With more free time, I finally implemented all features I wished for in 1.0.0 and made a lightweight C++ single-header version for moments when google/benchmark is too much. Hope this library helps you as much as it does me.
2024 · github.com · its alternatives →
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2013 · getanomalous.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
2019 · 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 →