Search Results for "python data analysis" - Page 2
Sort By:
Showing 43 open source projects for "python data analysis"
View related business solutions-
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.
-
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
GenLab abbreviation of Genetics Laboratory .It is a user-friendly bioinformatics tool to support your bioinformatics lab work. GenLab creates a software user-friendly environment, which makes users to make a large number of protein, DNA, and RNA sequence analysis and excellent graphical viewing. It also provides powerful environment for simulations of Protein 3D molecular models. GenLab typically provides: •User-friendly graphical tools used for finding and working with relevant regions of DNA, RNA, and protein sequences. •Full integration of data input, data management, calculation results. ...
-
2
The "gc" language is a script language with c++ grammer and c++ class library . The gaiasle is a set of script language framework . It has some new ideas about soft development ,specially about web server programs .
-
3
JGraph is the most powerful, lightweight, feature-rich, and thoroughly documented open-source graph component available for Java. See the project homepage at www.jgraph.com for information and downloads.
-
4
A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.
-
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.
-
5
JStatCom is a software framework that facilitates the creation of JAVA programs for data based analysis tasks in various domains. It provides ways to call routines from specialized software packages, like Matlab, Gauss, Ox, and possibly others.
-
6
PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
-
7
A pure python canvas for drawing 2D primitives which outputs its data as SVG or VML but can be easily extended to output more formats.
-
8
febrl-gen is a Java-based frontend to Febrl, an open-source data linkage system written in Python. Users can configure the parameters of a linkage project through the frontend, and febrl-gen will generate a Febrl-ready configuration file.
-
9
AbuGraph is a freely available Java application for the layout and visualization of directed graphs. Bound to a TCP port, it supports dynamic graph creation receiving commands from a telnet console or another third party application.
-
Loan management software that makes it easy.Bryt Software is ideal for lending professionals who are looking for a feature rich loan management system that is intuitive and easy to use. We are 100% cloud-based, software as a service. We believe in providing our customers with fair and honest pricing. Our monthly fees are based on your number of users and we have a minimal implementation charge.
-
10
Graphist uses PHP's GD library to produce data plots, in real time, served up as standard images for consumption by web pages (though such images could be saved for use in other document types).
-
11
The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
-
12
Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.
-
13
A mouse tracker for OS X. The tool should provide a simple way to log the user's mouse movements in the background for (later) analysis. Currently only for Mac OS X (ObjC & Cocoa), planned to make platform independent with Python. It consists out of two
-
14
wxBrowser is an application browser based on the wxWidgets GUI framework. It's similar to a regular old web browser only, instead of reading HTML and displaying content it reads XML and executes presentation logic (wxPython) in a client side application.
-
15
ModuleFair is a generic, module-based framework upon which to quickly build anything from data analysis programs to game level editors. This project is no longer maintained.
-
16
pyGuide
Guide is a UI layout and data-binding system.
Guide is a Python library for UI layout and data-binding which is cross-platform and supports multiple UI libraries. It allows users to quickly iterate on design and functionality of UIs using an xml markup-language. -
17
The PyQt4D (Python Qt for Designer) is an Open Source Project making Qt Designer full-featured RAD (Rapid Application Development) tool to develop data-aware two- or multi-tier applications using Python language and Qt library.
-
18
hemcuveGUI
hemcuveGUI is a graphical interface for HEMCUVE++
hemcuveGUI is a graphical interface for HEMCUVE++ (see http://tsc.unex.es/~llandesa/page17/page17.html). More specifically, hemcuveGUI lets you · to collect all the data required by HEMCUVE++, · to manage a materials database, · to call the external executable HEMCUVE++ and · to visualize its results.
