Open Source Mac Data Analytics Tools - Page 5
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Data Analytics Tools for Mac
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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China School bus
China School Bus Data Analysis model
International School Bus Operation Specification -
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Compositional data analysis, following the approach introduced by John Aitchison, is not straightforward to use with standard statistical packages. CoDaPack provides a software capable of using the Aitchison methodology.
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Collaborative Computing Project for NMR
Collaborative Computing Project for NMR (CCPN)
The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of CCPN jointly cover all aspects of biomolecular NMR and together they promote excellence in science in their respective fields. -
Discover the power of eDiscovery for law firms.DWR eDiscovery allows legal professionals to process, analyze, review, and produce documents that are relevant to litigation and other legal disclosure obligations. Our tools allow easy ingestion and analysis of client and opposing party documents using a comprehensive set of document review features including AI search, keyword search, keyword highlighting, metadata filtering, marking documents, privilege log management, redactions, and a range of analysis tools to help users best understand their document corpus.
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Cookiecutter Data Science
Project structure for doing and sharing data science work
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking about bikeshedding the indentation aesthetics or pedantic formatting standards, ultimately, data science code quality is about correctness and reproducibility. It's no secret that good analyses are often the result of very scattershot and serendipitous explorations. Tentative experiments and rapidly testing approaches that might not work out are all part of the process for getting to the good stuff, and there is no magic bullet to turn data exploration into a simple, linear progression. -
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DHIS2 JDMart Offline tool
Offline Data Analysis Tool
This tool is designed to help users download data from their DHIS2 servers for use when they are offline. -
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DMETANALYZER
A tool for supporting pharmacogenomics data analysis
We developed DMET-Analyzer a tool for the automatic association analysis among the variation of the patient genomes and the clinical conditions of patients, i.e. the different response to drugs. The proposed system allows: (i) to automatize the workflow of analysis of DMET-SNP data avoiding the use of multiple tools; (ii) the automatic annotation of DMET-SNP data and the search in existing databases of SNPs (e.g. dbSNP), (iii) the association of SNP with pathway through the search in PharmaKGB, a major knowledge base for pharmacogenomic studies. DMET-Analyzer has a simple graphical user interface that allows users (doctors/biologists) to upload and analyse DMET files produced by Affymetrix DMET-Console in an interactive way. -
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DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using powerful Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. -
The most user-friendly sales commission software for revenue-focused teamsRated as #1 sales compensation management software, Everstage helps businesses streamline commission administration, boost sales performance and improve ROI with actionable insights. Top features: No-code plan designer, detailed commission statements, advanced commission forecasting, quota management, queries & approval workflows, deferred commissions (ASC606), BI-powered reporting, and more.
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Datasette
An open source multi-tool for exploring and publishing data
Datasette is a tool for exploring and publishing data. It helps people take data of any shape or size, analyze and explore it, and publish it as an interactive website and accompanying API. Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world. It is part of a wider ecosystem of tools and plugins dedicated to making working with structured data as productive as possible. Try a demo and explore 33,000 power plants around the world, then take a look at some other examples of Datasette in action. Then read how to get started with Datasette, subscribe to the monthly-ish newsletter and consider signing up for office hours for an in-person conversation about the project. -
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DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.
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Deft combines declarative concepts of SQL with all of Perl's features. Includes the Deft templating system which 100% HTML complaint and still easy to use for the template developer. Deft is capable of parallel processing across multiple workstations.
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ECharts
A powerful, interactive charting and visualization library for browser
ECharts is a free and open source charting and visualization library that gives you an easy way to add interactive, intuitive, custom charts to your commercial products, projects, presentations and more. It offers a rich set of features that includes rendering ability for ten-million-level data, Wechart and Powerpoint support, multi-dimension data analysis, and more. It also has a number of extensions for various applications. ECharts is written in pure JavaScript, and is based on zrender, a new and lightweight canvas library. -
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EChem++ is a software system based on an object oriented approach to electrochemical experimentation, simulation, and data analysis. Currently, development emphasis lies on the modelling and simulation as well as the analysis modules.
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ETU SQL for DB2
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also : 1) ETU SQL for MySQL: https://sourceforge.net/projects/etusqlformysql/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for MS SQL Server: https://sourceforge.net/projects/etusqltango/ -
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ETU SQL for MySQL
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for PostgreSQL: https://sourceforge.net/projects/etusqlforpostegresql/ -
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ETU SQL for Oracle
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for MySQL : https://sourceforge.net/projects/etusqlformysql/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ Damián Ezequiel Ortiz - 2014 -
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ETU SQL for PostgreSQL
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also : 1) ETU SQL for MySQL: https://sourceforge.net/projects/etusqlformysql/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for MS SQL Server: https://sourceforge.net/projects/etusqltango/ -
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EXIMS
EXploring Imaging Mass Spectrometry data
EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data. -
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EZStacking
EZStacking is Jupyter notebook generator for machine learning
EZStacking is Jupyter notebook generator for supervised learning problems using Scikit-Learn pipelines and stacked generalization. EZStacking handles classification and regression problems for structured data. It can also be viewed as a development tool, because a notebook generated with EZStacking contains: -an exploratory data analysis (EDA) used to assess data quality - a modelling producing a reduced-size stacked estimator - a server returning a prediction, a measure of the quality of input data and the execution time. -
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Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates. -
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A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
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EnvStats
An R Package for Environmental Statistics
EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!” -
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