Search Results for "python data analysis"
Sort By:
Showing 4 open source projects for "python data analysis"
View related business solutions-
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
-
Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
-
1
meBiblio
meBiblio is a bibliography tool
meBiblio was specially developed as a small and accessible Python-based bibliography tool. meBiblio can organize your reference library, allows easy search in your references and permits immediate retrieval and examination of digitally stored literature items. It connects to online catalogs as PUBMED to retrieve data. -
2
ArrayPipeLine is a web-based Laboratory Information Management system, using MySQL, Perl CGI and R. It enables high-throughput analysis of microarray data, providing automation of data handling, and rapid creation and implementation of analysis pipelines
-
3
BioGraphNet is a 'sandbox' within BioMOBY, comprising a common standard and collection of services for sharing distributed protein-interaction network information. We now serve several network data types, and encourage others to participate.
-
4
blaSTOR is a Microsoft Access database used to BLAST, store and analyze multiple nucleotide and protein sequences. It has an easy-to-use graphical interface that allows users to perform BLAST operations and organize their data quickly and effectively.
-
Outbound sales softwareAdversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
- Previous
- You're on page 1
- Next
