191 skills found · Page 1 of 7
google / Mtailextract internal monitoring data from application logs for collection in a timeseries database
o / SimmetricaLightweight framework for collecting and aggregating event metrics as timeseries data
yaorg / Node MeasuredA Node metrics library for measuring and reporting application-level metrics, inspired by Coda Hale, Yammer Inc's Dropwizard Metrics Libraries
microprediction / TimemachinesPredict time-series with one line of code.
gigapi / GigapiGigAPI is a Timeseries lakehouse for real-time data and sub-second queries, powered by DuckDB OLAP + Parquet Query Engine, Compactor w/ Cloud-Native Storage. Drop-in FDAP alternative ⭐
microprediction / MicropredictionIf you can measure it, consider it predicted
databrickslabs / TempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
aprbw / Traffic PredictionTraffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
PickNikRobotics / Data TamerC++ library for Fearless Timeseries Logging
livingsocial / RearviewTimeseries data monitoring framework
zamanzadeh / Ts Anomaly BenchmarkTime-Series Anomaly Detection Comprehensive Benchmark
nipy / NitimeTimeseries analysis for neuroscience data
cuebook / CueObserveTimeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
LinkedInAttic / NaaradNaarad is a highly configurable system analysis tool that parses and plots timeseries data for better visual correlation. Naarad was built to help in performance analysis and investigations.
esnet / PondImmutable timeseries data structures built with Typescript
open-trade / OpentickA fast tick database for financial timeseries data, built on FoundationDB with simplified SQL layer
OpenNMS / NewtsNew-fangled Timeseries Data Store
zrbcool / Pepper Metricspepper metrics is a tool, it can helps you collect runtime performance use RED method, and then output as log / timeseries data, by default it use prometheus as datasource, grafana as UI
monoscope-tech / TimefusionA timeseries database created for events, logs, traces and metrics. Speaks the postgres dialect, and stores data in s3 via delta lake protocol
wavesjs / Waves UiA library to display and edit audio data and timeseries data in the browser.
