Search Results for "database"
Sort By:
Showing 5 open source projects for "database"
View related business solutions-
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
-
Field Sales+ for MS Dynamics 365 and SalesforceBring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
-
1
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
-
2
Set of tools and libs for managing structured data in a very flexible way: Imp./Exp. ASCII, XML, SQL, PS, Tex/LaTex, RTF GUI: X-Windows, MS-Windows Interface to C++, DBs, Perl, PHP, Java, TCP/IP LISP-like interpreter written in C++ using C-LIB
-
3
A host scanner that quickly generates a report using tools such as nmap and amap. The report is then stored in an informal database for future reference and the user\'s EDITOR is loaded on the file for further notes.
-
4
-
Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
-
5
ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.
- Previous
- You're on page 1
- Next
