Alternatives and similar repositories for timecop

Users that are interested in timecop are comparing it to the libraries listed below

• Teknasyon-Teknoloji / pyfbad
  An open-source unsupervised time-series anomaly detection package by Getcontact Data Team
  ☆45Updated 3 years ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆319Updated 2 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆256Updated 2 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆114Updated 2 years ago
• mljar / mljar-examples
  Examples how MLJAR can be used
  ☆60Updated last year
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 6 years ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆120Updated 7 months ago
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆150Updated last year
• indeedeng / anomaly-detection
  ☆61Updated 9 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆78Updated 6 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆130Updated 5 years ago
• RealImpactAnalytics / trumania
  Trumania is a scenario-based random dataset generator library in python 3
  ☆111Updated 3 years ago
• ballet / ballet
  ☀️🦶 A lightweight framework for collaborative, open-source feature engineering
  ☆33Updated 3 years ago
• shapelets / khiva-python
  Python binding for Khiva library.
  ☆47Updated last year
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated 2 months ago
• fastforwardlabs / deepad
  Deep Learning for Anomaly Deteection
  ☆59Updated 2 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆63Updated 6 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆103Updated 3 weeks ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 4 years ago
• Netflix / pygenie
  ☆75Updated 6 months ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• firmai / techniques
  Jupyter Notebook and Python business intelligence tools and techniques. [Raw upload]
  ☆85Updated 2 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 5 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 6 years ago
• BBVA / Tarkin
  A tool for anomaly detection over streaming data based on sentiment analysis
  ☆30Updated 7 years ago
• dataiku / dss-plugin-timeseries-forecast
  Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈
  ☆19Updated 2 years ago
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆79Updated last year
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 4 years ago
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆328Updated 3 weeks ago