Libraries tagged by data analytics

Weather forecast data collection, storage, and analysis.

Go to Download

This tool lets you easily gather data about tweets, retweets, likes, followers, and more from Twitter. You can use it to track the performance of your own account or gather data for research or analysis. It works with Prometheus and Grafana.

Go to Download

Business tool design to aid the analysis of SQL data in a graphical way to empower users among a team.

Go to Download

Analysis and generation of bookkeeping data according to Swedish standards

Go to Download

Analysis module for finding problematical shop data.

Go to Download

Analysis module for finding problematical shop data.

Go to Download

Analysis module for finding problematical shop data.

Go to Download

Analysis module for finding problematical shop data.

Go to Download

The "http-traffic-logger" package efficiently captures and records HTTP request and response data exchanged between clients and servers. With comprehensive logging functionalities, it facilitates monitoring and analysis of web traffic, providing valuable insights for debugging, security auditing, and performance optimization purposes.

Go to Download

Connect Google Search Console to your Magento SEO suite with OAuth. The GSC Connector syncs real search performance data — queries, impressions, clicks, and position — directly into Search Intelligence Core for AI-assisted analysis and change-set proposals.

Go to Download

A robust and well-structured library providing seamless technical integration for AI-driven kissing detection and analysis. Facilitates the development of applications requiring sophisticated understanding of kissing events in video or image data.

Go to Download

Captures application profiling data and saves it in MongoDB for later analysis

Go to Download

Based on the lexical analysis of "update," "select," "insert," and "delete" SQL statements, an automatic caching strategy is implemented. The strategy involves caching the data when executing a select operation and associating the table name contained in the SQL statement with the corresponding cached records. When executing update, insert, or delete operations, the table name from the SQL statement is extracted, and any cached records containing this table name from previous select operations are deleted. This strategy enables seamless caching without delay and eliminates the need to worry about data synchronization issues. It is particularly effective for tables with infrequent data modifications. For tables with frequent modifications, they can be ignored by configuring the strategy accordingly.

Go to Download