Um conjunto de ferramentas simples para uso no monitoramento de dados no site da Câmara dos Deputados
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Updated
Jul 17, 2019 - Python
Um conjunto de ferramentas simples para uso no monitoramento de dados no site da Câmara dos Deputados
A simple data monitor.
This project manages COVID-19 test data of employees of a company, or students, or any organization and visualizes the peace at which testing is happening and also visualize COVID-19 spread in a company or school or any organization;
VisData is a data monitoring project, where sensor data can be monitored and visualised.
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.
An online monitor for acquired Schottky data during storage-ring experiments
Real-time Network Data Monitoring System using RabbitMQ , InfluxDB and Chronograf
Códigos, plataformas, ferramentas e processos em alta;
Aquaponics data watching platform based on wechat small-program
Apache Airflow Pipeline extracts JSON files from AWS S3 bucket and inserts these into an AWS Redshift Cluster.
The backend of https://tdd.bunnyxt.com via php(v1, old) and spring boot(v2, new).
DEPRECATED! Please move to bunnyxt/tdd-spider. The crawler of https://tdd.bunnyxt.com via python.
Um conjunto de ferramentas simples para uso no monitoramento de dados no site da Câmara dos Deputados
dbt native framework built to observe modern data stack
The frontend of https://tdd.bunnyxt.com via vue.js.
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_ctE…
A Python library for efficient feature ranking and selection on sparse data sets.
⚡ Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.
Load dbt artifacts uploaded to GCS to BigQuery in order to track historical dbt results
Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.
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