Dev tools · alternatives · 2026
24 alternatives to ADTK – new Python library for time series anomaly detection
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
ADTK is a Python library designed for detecting anomalies in time series data. It helps developers identify unusual patterns or outliers in temporal datasets, making it useful for monitoring systems, financial data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ADTK – new Python library for time series anomaly detection launched in 2019; newer entries below may have overtaken it.
- 1
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 2
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 →
- 3
We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Dec 2025 · github.com · its alternatives →
- 4
📈 A small, fast chart for time series, lines, areas, ohlc & bars - leeoniya/uPlot
2019 · github.com · its alternatives →
- 5
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 →
- 6
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases - cuebook/CueObserve
2021 · github.com · its alternatives →
- 7DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
- 8
PyPOTS▲67a Python lib for data mining on PartiallyObserved TimeSeries
2023 · pypots.com · its alternatives →
- 9
A Python package for time series augmentation. Contribute to arundo/tsaug development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 10
MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
2021 · github.com · its alternatives →
- 11
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 →
- 12
- 13
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem - mehrdadn/SOTA-Py
2017 · github.com · its alternatives →
- 14
Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 15
A language for time-series analysis
2019 · empirical-soft.com · its alternatives →
- 16
GreptimeDB▲72Open-source database for large-scale time-series data
2022 · greptime.com · its alternatives →
- 17
- 18
If Google News had a Python library. Contribute to kotartemiy/pygooglenews development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 19
AST-based fragmental source code refactoring toolkit for Python - isidentical/refactor
2021 · github.com · its alternatives →
- 20
- 21
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
2020 · github.com · its alternatives →
- 22
Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
2021 · github.com · its alternatives →
- 23
Applied Econometrics Library for Python. Contribute to mfarragher/appelpy development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 24
The Numenta Anomaly Benchmark. Contribute to numenta/NAB development by creating an account on GitHub.
2015 · github.com · its alternatives →
Also compare
- Matrixprofile-ts – A Python library for timeseries motifs and discords alternatives
- Fast Real-Time Anomaly Detection in Dynamic Graphs alternatives
- Python SDK – forecasting with foundation time-series and tabular models alternatives
- uPlot.js – An exceptionally fast, tiny time series chart alternatives
- Fast Anomaly Detection in Graphs [pdf] alternatives
- CueObserve – Open-source Anomaly detection on SQL data alternatives
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 →