DeskTime is best for medium to large companies, as well as freelancers who want to boost productivity without overworking.
DeskTime is a high-performance, automated time tracking and workforce management solution for teams and freelancers. It runs silently in the background, logging computer activity from the moment of boot-up to ensure 100% accurate data without the need for manual timers.
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Resco toolkit for building mobile apps
A no-code toolkit for building responsive and resilient mobile business applications for Microsoft Power Platform, Dynamics 365, Dataverse and Salesfo
Deploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
...A valid license key is required to activate and use the application.
Enterprise security & AES-256 encryption for Windows systems
Commercial and Enterprise licenses are available on our official website:
https://www.coreguardtech.org
Wichtiger Hinweis:
Die TITAN Security Suite ist eine kommerzielle Software.
Zur Aktivierung und Nutzung ist ein gültiger Lizenzschlüssel erforderlich.
Kommerzielle und Enterprise-Lizenzen sind auf unserer offiziellen Website erhältlich:
https://www.coreguardtech.org
World's first open source data quality & data preparation project
...It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler"
Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/
apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/
This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also.