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Tuesday, 21 January 2020 10:05

Ananas Analytics Desktop

Ananas Analytics is a data analytics desktop application, built for non-technical users, but also very useful for skilled users. It keeps the technical barriers very low, by providing a visual interface to build ETL and data analysis that usually requires the expertise of data engineering.

Extracting, transforming, join, concatenate data and loading to a wide range of data source can be easy for non-technical users.

On the other side, Ananas Analytics Desktop is an open source project, provides the possibilities for engineers to customize the code, add new functionalities to adapt non-technical users' special use cases. It also provides several development tools to help engineers build, test, deploy, and run traditional data ETL systems easily.

Some key Features:
offline mode: run analysis jobs on your own computer, without internet connection;
query, transform and analyze with standard SQL, also for non relational database;
support both structured and unstructured data;
minimal knowledge required for Simple SQL;
explore data with built-in charts. Easy to use chart configuration;
execute your job with your existing data platform: Spark, Flink, Google Dataflow. etc.;
privacy and security: data is processed on your computer or your infrastructure.

More information here:
and here

Published in analytics
Wednesday, 26 April 2017 15:28 platform

Keen is a web-based analytics and data visualization platform that provides data collection, data analysis and data visualization solutions to business intelligence professionals. The platform can be customized and integrated with various platforms and software by using its API, SDK and third-party integrations.

The data visualization feature in Keen enables analytics professional to create, customize and embed charts in dashboards, reports, and clients facing documents.
The billing of Keen's services is based on how much new data the client collects. More information on the official website.
Published in web
Wednesday, 05 April 2017 12:03

A plugin for sparklines

A sparkline is a very small line chart, typically drawn without axes or coordinates. It presents the general shape of the variation (typically over time) in some measurement, such as temperature or stock market price, in a simple and highly condensed way. Sparklines are small enough to be embedded in text, or several sparklines may be grouped together as elements of a small multiple. This is a jQuery plugin to generate sparklines (small inline charts) directly in the browser, using data supplied either inline in the HTML, or via javascript.

The plugin is compatible with most modern browsers and has been tested with Firefox 2+, Safari 3+, Opera 9, Google Chrome and Internet Explorer 6, 7, 8, 9 & 10 as well as iOS and Android.

Last version 2.1.2 was released in June 2013 and can be found here.
Published in other
Wednesday, 15 March 2017 19:43


An open source project to display charts on your website. Chart.js is responsive, with a great rendering performance across all modern browsers.
The framework is downloadable here on GitHub. Technical documentation is here.
Chart.js is perfect for small projects, when you need clean, elegant, fast and responsive javascript charts. It is a light open source library at just 11kb when minified and zipped. It includes 8 core chart types, with some animation features.
Published in web
Wednesday, 05 April 2017 10:10

Amcharts library

amCharts is a company based in Vilnius, Lithuania. In more than 10 years amCharts developed a very complete and powerful framework for data visualization. Javascript Charts can be used to publish classic charts like Line, Area, Column, Bar, Pie, XY, Scatter, Candlestick and OHLC as well as more “exotic” ones like Gauges, Funnels, GANTT. Javascript Stock Chart can adaptively visualize financial data. Developers can enhance UX by making use of such awesome advanced features as adaptive data granularity, multiple synced panels, data set comparison and many more. Finally, Javascript Maps can add a simple, out-of-the-box beautiful maps on websites. A very complete demo gallery is available here.

AmCharts website:
Published in web