ananas-desktop

A hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand.

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Ananas Desktop

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Ananas Desktop is a hackable data integration/analysis tool to enable non technical users to edit data processing
jobs and visualise data on demand. It is designed to be deeply customizable and approachable by different data team members (data scientist, data analyst, devops, data engineer etc.. ).

Features

  • Drag and Drop Pipeline Editor
  • Low Code (Most of the analysis & processing can be done with SQL)
  • Fail fast development process : TEST locally with sampled data in seconds before you run your pipeline on live.
  • Data pipelines can be easily executed on multiple execution environments without code change (Spark, Flink etc..)
  • Support I/O sources/destination: MongoDB, MySQL, Postgresql, Files (JSON, Plain Text, CSV and Excel). More coming soon
  • Prepare data with a wide range of transformers: Union, Join, SQL, Javascript
  • Visualize data with our customizable chart builder
  • Scalable - Build once, run on any volume of data
  • Variable - parameterize your queries

Visit Ananas Analytics to learn more.

Supported Execution Platforms

More coming soon ...

Documentation

If you want to read about using Ananas Desktop, read our User guide.

If you are a contributor you can get started with the Wiki Page, Runner Documentation,
and Developer Guide

Installing

  1. Download the latest Ananas release.
  2. Download the Ananas Example and import them to get started.

License

Copyright 2019 Ananas Analytics.

Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0

Main metrics

Overview
Name With Ownerananas-analytics/ananas-desktop
Primary LanguageJava
Program languageJavaScript (Language Count: 7)
Platform
License:Apache License 2.0
所有者活动
Created At2019-04-26 14:51:31
Pushed At2023-02-03 02:43:35
Last Commit At2019-08-29 22:30:55
Release Count4
Last Release Namev0.9.0 (Posted on )
First Release Namev0.8.0 (Posted on )
用户参与
Stargazers Count577
Watchers Count14
Fork Count43
Commits Count332
Has Issues Enabled
Issues Count70
Issue Open Count24
Pull Requests Count55
Pull Requests Open Count34
Pull Requests Close Count18
项目设置
Has Wiki Enabled
Is Archived
Is Fork
Is Locked
Is Mirror
Is Private