Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
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Updated
Mar 6, 2023 - Python
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
The open source high performance data integration platform built for developers.
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
A real-time monitoring system with custom-monitor and agentless. Aim to monitor everything! Web, database, os, middleware, cloudnative and more. Notified support discord, slack, email, telegram, dingding, wechat, feishu, webhook, sms.
Player Analytics plugin for Minecraft Server platforms - View player activity of your server with ease.
ODK Collect is an Android app for filling out forms. It's been used to collect billions of data points in challenging environments around the world. Contribute and make the world a better place!
Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://chaoss.github.io/augur/ and learn more about Augur at our website https://augurlabs.io
Social media scraping / data collection tool for the Facebook, Twitter, Reddit, YouTube, Pinterest, and Tumblr APIs
大数据采集,抽取平台
IOT DC3 is an open source, distributed Internet of Things (IOT) platform based on Spring Cloud. It is used for rapid development of IOT projects and management of IOT devices. It is a set of solutions for IOT system.
A data collection library for click and exposure event with the UI.
ODK Build is a drag-and-drop form designer for ODK XForms. Thousands of users around the world depend on it for their data collection campaigns. Contribute and make the world a better place!
xk media library
FormGear is a framework engine for dynamic form creation and complex form processing and validation for data collection.
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoisi…
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