They queue your requests that would normally exceed the Google Analytics™ API limits to ensure you get your data fast and reliably. They also cache requests so you don’t have to waste time waiting for the same report you asked for a couple seconds ago. As soon as you connect your Google profile and make an API Key for your site, you can start getting data. You can fork OOcharts on Github too.

There are two parts of Countly: the server that collects and analyzes data, and mobile SDK that sends this data (for iOS & Android).

Once you open the dashboard, you’ll be amazed to see how easy it’s to monitor your data with splendid graphics. Countly dashboard shows you everything at once in an elegant way. No need to dig in several pages to find the information you need.

You can track unlimited number of applications with Countly, and switch between your apps, games and ebooks easily.

It offers complete API for integration with third-party monitoring services, easy to install with zero administration. Uptime provides plugins that you can enable to add more functionality.

Major Features

• Tweak frequency of monitoring on a per-check basis, up to the millisecond
• Receive instant web alerts on every page when a check goes down
• Record availability statistics for further reporting
• Detailed uptime reports with animated charts
• Group checks by tags and get reports by tag
• Monitor thousands of websites

Crossfilter supports extremely fast (<30ms) interaction with coordinated views, even with datasets containing a million or more records.

Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Crossfilter uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the perfor­mance of live histograms and top-K lists.

Combining D3′s immense capabilities of managing live data, and Backbone’s ease of development, Graphene provides a solution capable of displaying thousands upon thousands of datapoints in your dashboard, as well as presenting a very hackable project to build on and customize.

It generates colors based on HSL, takes the next color on the wheel serially, and keeping a good distance for a good contrast.

This infographic compares the most important project management software applications and guides you through your decision making process.

See how they perform in terms of size, popularity, social media presence, mobility, ease of integration and trust factor.

Major Features

• Optimized and customizable counter display with IP blocking
• Database-friendly, very compact stores only the most necessary
• History index with year and month display
• Design adaptable via CSS

There are a number of data visualization tools discussed on this blog already. Today we are featuring Cube, which is an open-source system for visualizing time series data. Built on MongoDB, Node and D3, Cube is easy to implement in any web application.

Cube is generic in nature and not specific to any particular business domain. It receives timestamped events (with optional structured data), that can be easily converted to realtime visualizations. For example, you might use Cube to monitor traffic to your website, counting the number of requests in 5-minute intervals.

jVectorMap is a jQuery plugin for creating vector maps and data visualization  on HTML pages. This simple plugin can be used for many other purposes; heat maps, data visualization, interactive maps being  just a few examples.

jVectorMap uses SVG to provide compatibility with all modern browsers including Firefox 3 or 4, Safari, Chrome, Opera, IE9, while legacy support for older versions of IE from 6 to 8 is provided with VML.

Since manipulation is real-time, you can use this lightweight library to simulate objects and flow charts or just display data visualizations and dynamic data.

Parameters can be set easily to view changes and get desired results.