timeseries   3774

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Twitter
RT : Estimate and evaluate a dynamic model with 28 lines of code by means of 's scripting language…
timeseries  gretl  from twitter_favs
yesterday by cdrago
MentatInnovations/datastream.io: An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana - MentatInnovations/datastream.io
anomaly-detection  anomaly  python  elasticsearch  kibana  stream  timeseries  github 
5 days ago by newtonapple
linkedin/luminol: Anomaly Detection and Correlation library
Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detection and correlation. It can be used to investigate possible causes of anomaly. You collect time series data and Luminol can:

Given a time series, detect if the data contains any anomaly and gives you back a time window where the anomaly happened in, a time stamp where the anomaly reaches its severity, and a score indicating how severe is the anomaly compare to ...
anomaly  anomaly-detection  linkedin  python  timeseries  library 
5 days ago by newtonapple
Introduction — PyFlux 0.4.7 documentation
PyFlux is a library for time series analysis and prediction. Users can choose from a flexible range of modelling and inference options, and use the output for forecasting and retrospection. Users can build a full probabilistic model where the data y and latent variables (parameters) z are treated as random variables through a joint probability p(y,z). The advantage of a probabilistic approach is that it gives a more complete picture of uncertainty, which is important for time series tasks such as forecasting. Alternatively, for speed, users can simply use Maximum Likelihood estimation for speed within the same unified API.
python  statistics  timeseries  tools 
19 days ago by lena
Find your gold with demand-driven forecasting and open data
Using InfluxData TICK stack to train a model that predicts beverage order volume based on timeseries, temperature, and cloud cover. Neat.
datascience  weather  predictions  ml  timeseries 
26 days ago by tobym
llSourcell/Time_Series_Prediction: This is the code for "Time Series Prediction" By Siraj Raval on Youtube
This is the code for "Time Series Prediction" By Siraj Raval on Youtube - llSourcell/Time_Series_Prediction
timeseries  predictions  jupyter 
4 weeks ago by kwbr
InfluxData (InfluxDB) | Time Series Database Monitoring & Analytics
Open Source Time Series DB Platform for Metrics & Events (Time Series Data). Creator of the TICK Stack: InfluxDB, Telegraf, Chronograf & Kapacitor. Providing real-time analytics, IoT applications, and DevOps Monitoring. Try a Free 14-Day Trial.
dataase  timeseries  event  metric  opensource  flosss 
4 weeks ago by gilberto5757
An End-to-End Project on Time Series Analysis and Forecasting with Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.

Time series are widely used for non-stationary data, like economic, weather, stock price, and retail sales in this post. We will demonstrate different approaches for forecasting retail sales time series. Let’s get started!
forecasting  python  timeseries 
5 weeks ago by Tafkas
m3db/m3: M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Metrics Platform
M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Metrics Platform - m3db/m3
metrics  prometheus  go  github  timeseries  m3 
5 weeks ago by snahor

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