Search Results for "data analysis" - Page 32
Sort By:
Showing 2661 open source projects for "data analysis"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
Indicators.jl
Financial market technical analysis & indicators in Julia
Indicators is a Julia package offering efficient implementations of many technical analysis indicators and algorithms. This work is inspired by the TTR package in R and the Python implementation of TA-Lib, and the ultimate goal is to implement all of the functionality of these offerings (and more) in Julia. This package has been written to be able to interface with both native Julia Array types, as well as the TS time series type from the Temporal package. Contributions are of course always... -
2
methylr
a single shiny solution from sequencer data to pathway analysis
Here we introduce methylR, a complete pipeline for the analysis of both 450K and EPIC Illumina arrays which not only offers data visualization and normalization but also provide additional features such as the annotation of the genomic features resulting from the analysis, pairwise comparisons of DMCs with different graphical representation plus functional and pathway enrichment as downstream analysis, all packed in a minimal, elegant and intuitive graphical user interface which brings the analysis of array DNA methylation data. -
3
AGLAEMap
Read EDF File / view mapping
...Pacheco Nuclear Instruments and Methods in Physics Research Section B, Volume 363, 15 November 2015, Pages 48-54 doi:10.1016/j.nimb.2015.08.086 Due to the copyright transfer to the publisher, the online availability of the article will depend on your subscription to ScienceDirect. The abstract should be available in any case. This software read Esrf Data Format (EDF) files It has been developed to handle on a large number of detectors and series of maps. Its interface allows to easily pass from a detector to another and from an analysis to another. Elemental mapping is achieved by selecting a region of interest in the spectra and the corresponding picture can be saved. -
4
quantitative
Quantized transactions python3
...The repo is evidently tied to a popular video series (on Bilibili) that reportedly drew substantial attention, suggesting the material is meant to be both educational and hands-on. The README and associated lessons walk the user through implementing algorithms, likely covering data handling, backtesting, and maybe simple trading logic. As an open-source educational resource, it’s designed for Python users interested in automatic trading, algorithmic strategies, and financial data analysis. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
5
uac19
Analyze COVID-19 csv files
A flexible command line tool to analyze COVID-19 csv files https://github.com/nytimes/covid-19-data https://ourworldindata.org/coronavirus-source-data The rpm build is rh7 the tgz installs on Windows cygwin. -
6
Dolphin Data Recovery Assistant Pro
one software-only data recovery assisting tool
Dolphin Data Recovery Assistant Pro. contains 6 modules: 01: Invalid Files; 02: Extension; 03: N.S Image; 04: 2258XT; 05: Database Repair; 06: Raid Analysis; 07: File Rename. Each module is very helpful for data recovery success! Free to use for the first two months!Full Functions, Try it now! More info here->https://www.dolphindatalab.com/product/dolphin-data-recovery-assistant-pro/ -
7
PyNanoLab
data analysis and Visualization with matplotlib
PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI. -
8
Blue Print
Blue Print is a remote access, cross-platform hex editor/data analyzer
...Users can start the back-end of WBP on PC/server/NAS/smart device(hereinafter referred to as the host) which has network connection, and perform graphical editing & analysis on data of the host in a browser on any other machine regardless of whether the host has local graphics module or not. Of course, you can also operate directly on host which has local graphics module. -
9
spark
A performance profiler for Minecraft clients, servers, and proxies
spark is a performance profiling and diagnostic tool designed for Minecraft servers, clients, and proxy software. It helps developers and server administrators analyze performance issues such as lag, high CPU usage, and memory bottlenecks. The plugin collects statistical information about the server’s execution and generates detailed profiling data that can be used to identify inefficient code or problematic plugins. spark includes tools for CPU profiling, memory inspection, and monitoring... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
10
OpenCensus Libraries for Go
A stats collection and distributed tracing framework
OpenCensus and OpenTracing have merged to form OpenTelemetry, which serves as the next major version of OpenCensus and OpenTracing. OpenCensus is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems. -
11
Wooey
A Django app that creates automatic web UIs for Python scripts
...Enable the easy wrapping of any program in simple python instead of having to use language specific to existing tools such as Galaxy. Enable fellow lab members with no command line experience to utilize python scripts. Autodocument workflows for data analysis (simple model saving). -
12
hui
hewies user interface - 3D scientific visualisation tool
Python project with goal to provide FOSS library to extract, analyse and visualise data in a 3D fashion. The instance will connect to a data source, ods sheet, csv, sql DB, pyodbc the instance will analyse and/or transform the data to be presented to the visualisation functionality the instance will visualise the data in a 3D fashion, likely using third party FOSS -
13
system-design
Selected System Design Interview Questions
System Design is a Chinese-language collection of detailed solutions to classic architecture interview problems. It teaches readers how to break broad product requirements into components, data flows, storage choices, scaling strategies, and operational tradeoffs. The examples cover URL shortening, news feeds, search engines, crawlers, key-value stores, distributed identifiers, task schedulers, file-system caches, and load balancers. Additional material discusses API rate limiting, hash maps, PageRank, frequent-item analysis, and big-data scenarios. ... -
14
Machine Learning Git Codebook
For extensive instructor led learning
Machine Learning Git Codebook is an educational repository that provides a structured introduction to data science and machine learning concepts through a series of interactive notebooks and practical examples. The project is designed as a self-paced learning resource that walks learners through the full data science workflow, including data preprocessing, exploratory analysis, feature engineering, and model development. It covers a wide range of machine learning techniques such as decision trees, clustering methods, nearest neighbor algorithms, anomaly detection, and probabilistic classifiers. ... -
15
Data Science Collected Resources
Carefully curated resource links for data science in one place
...Its goal is to provide learners and practitioners with easy access to high-quality resources related to data science tools, programming languages, cloud platforms, and machine learning techniques. The repository includes links to materials discussing topics such as artificial intelligence research, AWS infrastructure, machine learning algorithms, and data analysis tools. It also contains supplementary documents like cheat sheets and machine learning notes that help readers review important concepts quickly. -
16
Shennina
Automating Host Exploitation with AI
Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, and exploitation using Artificial Intelligence. Shennina is integrated with Metasploit and Nmap for performing the attacks, as well as being integrated with an in-house Command-and-Control Server for exfiltrating data from compromised machines automatically. Shennina scans a set of input targets for available network services, uses its AI engine to identify recommended exploits for the attacks, and then attempts to test and attack the targets. ... -
17
Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. -
18
RasCAL
We shoot neutron beams at things.
...https://github.com/arwelHughes/RasCAL_2019 Please download from Github, as this will be continually updated** RasCAL is a Matlab based application for the analysis of neutron and x-ray reflectivity data. It is specifically written for analysis of neutron data taken at multiple contrasts. Rascal 1 is now a closed project, as we are hard at work on better an brighter things with Rascal 2. So, in the next couple of days I'll upload a 'final' cleaned up version of Rascal 1. It'll work across all platforms up until Matlab R2015a, and after that you'll have to recompile you own mex's... ... -
19
InterMine
A powerful open source data warehouse system
InterMine is an open-source data warehouse system tailored for the integration and analysis of complex biological data. It enables researchers to create databases from diverse data sources and provides sophisticated web query tools for data exploration. -
20
Security Code Scan
Vulnerability Patterns Detector for C# and VB.NET
Detects various security vulnerability patterns. SQL Injection, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), XML eXternal Entity Injection (XXE), etc. Inter-procedural taint analysis for input data. Continuous Integration (CI) support for GitHub and GitLab pipelines. Stand-alone runner or through MSBuild for custom integrations. Analyzes .NET and .NET Core projects in the background (IntelliSense) or during a build. Works with Visual Studio 2019 or higher. Visual Studio Community, Professional and Enterprise editions are supported. ... -
21
SGX-Full-OrderBook-Tick-Data-Trading
Providing the solutions for high-frequency trading (HFT) strategies
SGX-Full-OrderBook-Tick-Data-Trading-Strategy is an open-source research project focused on modeling high-frequency financial market behavior using machine learning techniques. The repository analyzes tick-level order book data from the Singapore Exchange and attempts to capture the dynamics of limit order book movements. By extracting features such as order depth ratios and price movement indicators, the system trains machine learning models to predict short-term market changes. ... -
22
Pattern
Web mining module for Python, with tools for scraping
Pattern is an open-source Python library that provides tools for web mining, natural language processing, machine learning, and network analysis. The project integrates multiple capabilities into a single framework that allows developers to collect, process, and analyze textual data from the web. It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. In addition to data mining features, the library offers natural language processing functionality including part-of-speech tagging, sentiment analysis, and n-gram extraction. ... -
23
OpenVigil
Open pharmacovigilance data extraction, mining and analysis tool
OpenVigil provides a webinterface to analyse pharmacovigilance data, i.e., spontanous or systematic collections of treatments (drugs) and observed adverse events ("drug side effects"). FDA Adverse Event Reporting System (AERS) and other pharmacovigilance data (e.g., Canadian or German) are supported. The OpenVigil web-based analysis tools offer several analysis modes like extraction, filtering, mining of data and analyses via measurements of disproportionality like proportional reporting ratio or reporting odds ratios) and export to spreadsheets programs like Microsoft Excel or statistics programs like R. ... -
24
Amazon SageMaker Operators Kubernetes
Amazon SageMaker operator for Kubernetes
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. ... -
25
MANTI
MANTI - Mastering Advanced N-Termini Interpretation
MANTI is a one-stop shop N-termini annotation & evaluation solution. MANTI was previously (un)known as muda.pl ahead of v3.7, the project was renamed to MANTI.pl with v3.7 on 2019-06-24. It congregates information from different MaxQuant or DiaNN/MSFragger output files into a master file suitable explicitly for protein neo-termini analyses. The central anchor for the data congregation is the modificationSpecificPeptides.txt or diann-output.pr_matrix.tsv file - additional data is inferred...