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data-monitoring
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⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
re_data - fix data issues before your users & CEO would discover them 😊
Metrics Observability & Troubleshooting
re_data - fix data issues before your users & CEO would discover them 😊
Eremos is a lightweight framework for deploying autonomous swarm agents that detect early on-chain activity across Solana.
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
A Python library for efficient feature ranking and selection on sparse data sets.
Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.
An IoT-based water quality monitoring and notification system for fish farmers to determine the physio-chemical parameters of aqua-cultured sites such as fish ponds. Built with esp32-arduino microcontroller, sensors (temperature, turbidity, pH, ultrasonic), Python Flask and SQLite Database). Literature work: https://drive.google.com/file/d/1_ctEz1cAZmnwtB1LCnVKh2_sHrVP6vUU/view
Load dbt artifacts uploaded to GCS to BigQuery in order to track historical dbt results
⚡ Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.
The frontend of https://tdd.bunnyxt.com via vue.js.
dbt native framework built to observe modern data stack
Open-source repository for integrating blockchain, IoT, and cloud technologies to enhance water quality monitoring. Includes smart contracts, demos, and ideas to improve secure data management.
The backend of https://tdd.bunnyxt.com via php(v1, old) and spring boot(v2, new).
Um conjunto de ferramentas simples para uso no monitoramento de dados no site da Câmara dos Deputados
Plantic is a small sensor device and user-friendly app for real-time plant health monitoring, designed for both home gardeners and small-scale farmers.
This repository demonstrates how low- and high-frequency meteorological data and calculated Eddy Covariance fluxes can be visualized. It features two dashboards: the Stations Dashboard, updated daily to analyze weekly flux trends, and the Pulse Dashboard, updated every 30 minutes to quickly identify technical issues.