There are 3 repositories under tempo topic.
Atlassian Python REST API wrapper
Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.
Observe Spring Boot app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.
Library using WebAudioAPI to analyse BPM from files, audionodes. It's also able to compute BPM from streams as well as realtime using a microphone. This tool might be useful for music producers and DJs or anybody that wants to get BPM from any music source.
libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)
loki deploy with distributed
Spring Boot 3 Microservices Course Repository
Framework for estimating temporal properties of music tracks.
Tutorial on Tempo, Beat and Downbeat estimation
OpenTelemetry and Grafana stack with Docker Compose or Aspire
This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.
Grafana, Loki, Promtail, Tempo, Prometheus for logs, LGTM metrics and tracing
Sample setup showing ASP.NET Core observability with Prometheus, Loki, Grafana, Opentelemetry Collector
A single-binary 🌯 wrapper around `docker compose` with embedded configurations to effortlessly run your local observability stack
aubio plugins for Vamp
Grafana, Prometheus, Loki, Jaeger and Opentelemetry in an easy-to-use docker compose example setup to extract logs, metrics and traces in development.
Mash 2 songs with proper beat matching and cross fading techniques.
Grafana Observability Primer
A playback practice tool for musicians that allows slowing down, changing pitch, defining presets and loops on music files.
Little helper to run Grafana LGTMP Stack(Loki Grafana Tempo Mimir Pyroscope) in Docker or Kubernetes.
rapid, precise tempo prediction in python
Create and visualize temporal canons a'la Conlon Nancarrow
Free and open-source stock tracking website for America's biggest money managers. Democratizing SEC filings by making them more accessible and useful.
Source code repository for the SMC paper "Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters".
Grafana Distributed Tracing Example with: Tempo, Prometheus, Loki, Grafana and Python Flask