Search Results for "analytics" - Page 22
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Showing 940 open source projects for "analytics"
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Reproducible-research
A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.
In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility.... -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
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Fire Detector
Detect web framework and javascript libraries run on browsing website
When you surf the internet with Fire Detector, You can also find more unknown frameworks and libraries. It is based on [LibrarySniffer](https://github.com/justjavac/ChromeSnifferPlus/). I've replaced some deprecated javascript interfaces with asynchronous ones adopted by Firefox for its add-ons --- ### Limitations - WebExtension only works on sites that allow content scripts. With this WebExtension, You can detect: -
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WhyLogs Java Library
Profile and monitor your ML data pipeline end-to-end
...WhyLogs is an open source statistical logging library that allows data science and ML teams to effortlessly profile ML/AI pipelines and applications, producing log files that can be used for monitoring, alerts, analytics, and error analysis. WhyLogs calculates approximate statistics for datasets of any size up to TB-scale, making it easy for users to identify changes in the statistical properties of a model's inputs or outputs. Using approximate statistics allows the package to run on minimal infrastructure and monitor an entire dataset, rather than miss outliers and other anomalies by only using a sample of the data to calculate statistics. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Hamilton
A minimal and beautiful Jekyll theme best for writing and note-taking
A minimal and beautiful Jekyll theme best for writing and note-taking. The original purpose of this theme is to be a replacement of the default Jekyll theme -- Minima. Hamilton is an enhancement of Minima but still, keep in minimal. -
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AlphaPy
Python AutoML for Trading Systems and Sports Betting
AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow.... -
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Tdarr V2
Distributed transcode automation using FFmpeg/HandBrake
...Its modular design allows users to scale processing power by adding nodes on different devices, making it suitable for both personal media servers and enterprise workflows. With detailed analytics, file property searches, and customizable workflows, Tdarr provides a powerful solution for maintaining clean, efficient, and compatible media collections. -
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QuiclickRNAseq
An integrated pipeline for RNA-seq analysis
Quiclick is a python framework for RNA-seq data analysis, including data trimming, mapping, counting and RNA editing analysis. -
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janus
An API Gateway written in Go
This is a lightweight API Gateway and Management Platform that enables you to control who accesses your API, when they access it and how they access it. API Gateway will also record detailed analytics on how your users are interacting with your API and when things go wrong. An API Gateway sits in front of your application(s) and/or services and manages the heavy lifting of authorization, access control, and throughput limiting to your services. Ideally, it should mean that you can focus on creating services instead of implementing management infrastructure. ... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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LIFETIMES
Lifetime value in Python
...It helps analysts estimate how frequently customers may return, how long they may remain active, and how much value they may generate over time. The library is built around probabilistic models commonly used in customer analytics, including transaction frequency and monetary value modeling. It is useful for ecommerce, subscription-adjacent businesses, retail analytics, and retention analysis. The repository is now archived, so it should be treated as a stable historical project rather than an actively developed package. For current work, its ideas remain valuable, but teams may want to consider newer successor tools for ongoing production use. -
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Tracking Master
Tracking Master is a Multi-provider web analytics tracker
Tracking Master is a Multi-provider web analytics tracker created for Bludit Flat File CMS. -
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palmerpenguins
A great intro dataset for data exploration & visualization
...Designed as a more engaging alternative to the classical iris dataset, it provides size measurements, clutch information, and blood isotope data for teaching, visualization, and analytics practice. -
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Muze
Composable data visualisation library for web
...The library emphasizes composability, meaning multiple layers and interactions can be combined to produce complex, multi-dimensional visualizations similar to those found in advanced analytics tools like Tableau. It includes an in-browser data model that manages transformations, filtering, and interactions, serving as a central source of truth for all visual elements. Muze also automatically generates cross-chart interactions, allowing multiple visualizations to respond to user input in a coordinated way. By leveraging WebAssembly for data processing, it achieves high performance even with large datasets. -
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Sugar for iOS
Something sweet that goes great with your Cocoa
...Gain easy access to main bundle information. To easily exclude operations from when you as a developer runs the application in the simulator, not subscribing to push notification or running analytics operations etc. Observe the keyboard showing and hiding events, and handle it. -
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The application helps you with your statistics assignment help. Our Stata assignment help is popular among students following course economics and political science. We offer R assignment help for data analysis as well as graphical user interface although SPSS looks a lot like excel but mostly students avail our excel assignment help for small datasets and SPSS assignment help for larger datasets. For assistance you can email us at info@statisticshomeworkhelper.com .
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Crystalsim - XRD hkl simulation
X-ray diffraction (XRD) analysis for hkl simulation of any crystal.
Crystalsim is a simple freeware program with a neat graphical user interface for X-ray diffraction (XRD) data analysis . It can simulates all possible {hkl} planes data for the selected crystal. Crystallographic Information File (.cif) can also be used. Analyze both powder diffraction and single crystal data . Indexed at International Union of Crystallography (IUCR). Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta,... -
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jekyll-course-website-template
Feature-rich and easy-to-use Jekyll website template
Feature-rich and easy-to-use Jekyll website template for academic courses. Individual page for assignments, lectures, course material, and course schedule. Auto-generated course updates section (for each new lecture and assignment) + custom/manual announcements. -
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Laravel Boilerplate Project
Laravel Boilerplate / Starter Kit with Gentelella Admin Theme
Laravel Boilerplate provides a very flexible and extensible way of building your custom Laravel applications. -
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Newsvendor Model Simulation Spreadsheet
Excel Spreadsheet Model for Single Period Inventory Problems
The spreadsheet (Excel) of a single-period inventory model with stochastic demand can be used as a simulation tool for engineering education or Decision Support System. Based on spreadsheet techniques and examples described in the following sources: Albright S. C., & Winston W. L. (2005). Spreadsheet modeling and applications: essentials of practical management science, South-Western Pub. Albright, S. C. W. C., Winston, W., & Zappe, C. (2010). Data analysis and decision making. Cengage... -
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NLP Best Practices
Natural Language Processing Best Practices & Examples
In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions. In the last few years, researchers have been applying newer deep learning methods to NLP. Data scientists started moving from traditional methods to state-of-the-art (SOTA) deep neural network (DNN) algorithms which use language models pretrained on large text corpora. This repository contains examples and... -
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Weld
High-performance runtime for data analytics applications
...The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data
All lists are in alphabetical order. In the lists, maintained projects are prioritized vs not mantained. A repository is considered "not maintained" if the latest commit is > 1 year old, or explicitly mentioned by the authors. -
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Slacker
Full-featured Python interface for the Slack API
Slacker is a full-featured Python interface for the Slack API. -
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CStore FDW
Columnar storage extension for Postgres
cstore_fdw is a columnar store extension for PostgreSQL built by Citus Data using the Foreign Data Wrapper (FDW) interface. It stores data in a compressed, columnar format that significantly reduces disk I/O for analytical queries. Ideal for read-heavy workloads and time-series data, cstore_fdw enhances Postgres’ ability to serve as a lightweight data warehouse.
