Search Results for "python data analysis"
Sort By:
Showing 86 open source projects for "python data analysis"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Build apps or websites quickly on a fully managed platformRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure.
-
1
Hyperspectral data analysis in R
Handling and basic analysis of hyperspectral data in R
The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal. -
2
IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"
-
3
R packages (maintained by YJLEE)
R packages for PK/PD modeling , BE/BA, drug stability, ivivc, etc.
These R packages are developed for data analysis of PK/PD modeling & simulation, bioequivalence/bioavailability (BE/BA), drug stability, in-vitro and in-vivo correlation (ivivc), as well as therapeutic drug monitoring (TDM). -
4
TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP full... -
Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
-
5
PANDA
A comprehensive and flexible quantification tool for proteomics data
PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels... -
6
a R package. 'Qair' gives access to data bases used by air quality monitoring associations in France. It also contains functions to manipualte air quality datas.
-
7
mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.
-
8
timetools (for r-cran)
Seasonal/Sequential (Instants/Durations, Even or not) Time Series
... to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base). -
9
The application Bio7 is an integrated development environment for ecological modelling and contains powerful tools for model creation, scientific image analysis and statistical analysis. The application itself is based on an RCP-Eclipse-Environment (Rich-Client-Platform) which offers a huge flexibility in configuration and extensibility because of its plug-in structure and the possibility of customization.
-
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
-
10
COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub... -
11
Mass-Up
MALDI-TOF data analysis tool
Mass-Up is an Open-Source mass spectrometry utility for proteomics designed to support the preprocessing and analysis of MALDI-TOF mass spectrometry data. Mass-Up includes several tools and operations to load, preprocess and analyze MALDI-TOF data. -
12
KMWin
Kaplan-Meier for Windows
KMWin (Kaplan-Meier for Windows) is a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis. The programme is based on the statistical software environment R and provides an easy to use graphical interface. As an introduction, see http://dx.plos.org/10.1371/journal.pone.0038960#s2. -
13
NanoR
R package built to analyze and compare Nanopore data
NanoR is a package for the statistical language and environment R, tested on Unix, MacOSX and Windows, that allows user-friendly analysis and comparison of 1D MinION and GridION X5 sequencing data within acceptable time frames. -
14
TEACUP
TCP Experiment Automation Controlled Using Python
... congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time. -
15
BEMoDA
Dissolution profile comparison Model Dependent-Independent Approach
Dissolution profile comparison (Biowaiver aid) Model Dependent-Independent Approach scripts for in-vitro dissolution profile comparison as proposed by Sathe et al. in 1996 (Sathe PM, Tsong Y, Shah VP. In-vitro dissolution profile comparison: statistics and analysis, model dependent approach. Pharm Res. 1996 Dec;13(12):1799-803) and Tsong et al. in 1996 (Tsong Y, Hammerstrom T, Sathe P, Shah VP. (1996) Statistical Assessment of Mean Differences between Two Dissolution Data Sets, Drug Info. J. 30... -
16
gogadget
A toolbox for interpretation and visualization of RNA-seq GO analysis
gogadget is an R package, and can help with the visualization and interpretation of GO enrichment analysis of RNA-seq data. It is developed especially for the use in combination with goseq. The functions that are available in this package are extensively described in the user's guide. To install the package download the "gogadget_2.1.tar.gz" file, open R and install with the following line: install.packages( "C:/your/directory/gogadget_2.1.tar.gz", repos = NULL, type="source... -
17
Mobile Tracking Processor
An easy way to remove noise from mobile telemetry data
This program takes a .txt input file containing the raw output from a Lotek SRX800 receiver and removes false detections based on a user-provided .csv of tagging data. -
18
Ship Lock Scheduling
Scheduling lockages at ship locks with several parallel lock chambers
This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding... -
19
Waterloo
Java-based scientific graphics
Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab. -
20
Corbata
CORe microBiome Analysis Tools
Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples. -
21
Copy Number Analysis for Targeted Resequencing (CONTRA) is a tool for copy number variation (CNV) detection for targeted resequencing data such as those from whole-exome capture data.
-
22
IAP.G2P
IAP - the Integrated Analysis Pipeline
The Integrated Analysis Platform (IAP) has been designed and developed to support the analysis of large-scale image data sets of different camera systems. It aims in bridging different data domains and in integrating different approaches to data analysis and post-processing. -
23
CanReg5 (moved to Github)
Canreg5 is a software package for population based cancer registries
... control, consistency checks and basic analysis of the data It was designed with an emphasis on user friendliness, it has a modern user interface and is easy to navigate. Is available in several languages. (English, French, Spanish, Portuguese, Russian, Turkish, Georgian, and Chinese.) -
24
ncPRO-seq
Non-Coding RNA PROfiling from sRNA-seq
ncPRO-seq is a tool for annotation and profiling of ncRNAs from smallRNA sequencing data. It aims to interrogate and perform detailed analysis on small RNAs derived from annotated non-coding regions in miRBase, piRBase, Rfam and repeatMasker, and regions defined by users. The ncPRO pipeline also has a module to identify regions significantly enriched with short reads that can not be classified as known ncRNA families. ############# Docker version : download and run Dockerfile (go in "Files... -
25
PyRate
Bayesian Estimation of Speciation and Extinction from Fossil Data
PyRate is a Python program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework. The method was described by D Silvestro, J Schnitzler, LH Liow, A Antonelli, and N Salamin in Systematic Biology (http://sysbio.oxfordjournals.org/content/early/2014/02/08/sysbio.syu006.abstract). *Please download the most up-to-date code from the "PyRate code" tab on this page or from: https://github.com/dsilvestro/PyRate * *An updated manual...
