Search Results for "visualizations"
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14 projects for "visualizations" with 2 filters applied:
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Employee Productivity Tracking and Workforce Analytics PlatformEmployee monitoring application for businesses of all sizes. Tracks productivity for in-office, remote, and hybrid workers. Provides analytics and data on how to improve your team. Keeps your team accountable. World-class security.
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projectM
Cross-platform Music Visualization Library
...Open-source and Milkdrop-compatible. Experience psychedelic and mesmerizing visuals by transforming music into equations that render a limitless array of user-contributed visualizations. projectM is an open-source project that reimplements the esteemed Winamp Milkdrop by Geiss in a more modern, cross-platform reusable library. Its purpose in life is to read an audio input and to produce mesmerizing visuals, detecting tempo, and rendering advanced equations into a limitless array of user-contributed visualizations. -
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ModernGL
Modern OpenGL binding for Python
...It provides an intuitive API for rendering 2D and 3D graphics, making it accessible to both beginners and experienced developers. ModernGL is suitable for applications such as games, simulations, and data visualizations. -
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grafanalib
Python library for building Grafana dashboards
Grafanalib is a Python library for building Grafana dashboards programmatically, allowing users to automate dashboard creation and configuration. -
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Pretty Jupyter
Creates dynamic html report from jupyter notebook.
...Most of the features require little to no work to get working and greatly improve the quality of the output report, or even the developer’s comfort when creating the report. For example, tabs make some visualizations much more comfortable. The features are integrated directly into the output page, therefore there is no need to have an interpreter running in the backend. This makes the HTML easily sendable or uploadable to a static website. -
The all-in-one software to grow local businessesBirdeye is an all-in-one customer experience platform. Over 80,000 businesses use Birdeye every day to attract new leads with Listings, Reviews and Referrals, convert them into customers with Webchat and Payments, and delight those customers with Surveys, Ticketing, and Insights - all in one place. Using the Birdeye platform - AI, messaging, automation tools - businesses are delivering great customer experiences to 100M+ people.
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to plug in custom models, track experiments, tune hyperparameters, and generate visualizations that highlight anomalous regions. Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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LangExtract
A Python library for extracting structured information
...It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. The system excels at handling long documents using optimized chunking, multi-pass extraction, and parallel processing to ensure both high recall and structured consistency. -
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NYC Taxi Data
Import public NYC taxi and for-hire vehicle (Uber, Lyft)
...The project includes scripts and notebooks for cleaning and filtering the raw data, memory-efficient processing for large CSV/Parquet files, and aggregation workflows (e.g. trips per hour, heatmaps of pickups/dropoffs). It also contains example analyses—spatial and temporal visualizations like maps, time-series plots, and hotspot detection—highlighting insights such as patterns of demand, peak times, and geospatial distributions. The repository is often used as a benchmark dataset and example for teaching, benchmarking, and demonstration purposes in the data science and urban analytics communities. -
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Glumpy
Python+Numpy+OpenGL, scalable and beautiful scientific visualization
Glumpy is a Python library that simplifies the development of high-performance, interactive OpenGL visualizations. It abstracts complex OpenGL tasks into Pythonic constructs, making it easier for scientists, artists, and developers to harness the power of the GPU for real-time rendering and data visualization. Glumpy is particularly well-suited for rapid prototyping of graphical applications, and its integration with NumPy and shader programming makes it a powerful tool for both research and creative exploration. -
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compileflow
Core business process engine of Alibaba Halo platform
Compileflow is a very lightweight, high-performance, integrable and extensible process engine. The Compileflow process engine is an important part of Taobao Business Process Management(TBBPM), which is dedicated to optimizating operations at Alibaba’s Taobao Marketplace. Specifically, Compileflow is designed to focus on pure memory execution and stateless process engines by converting process files to generate, compile and execute java code. Currently, compileflow powers multiple core... -
The POS System for Specialty Retailers.Established in 1992 in NYC, Runit is THE cloud-based Retail Management and Point of Sale (POS) system for high-end apparel, footwear, sporting goods and gift retail chains. Combining a flexible platform with highly personalized 24x7 service, we will enable you to integrate processes across your stores, warehouses, websites and third party online channels.
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Go canvas
Canvas is a Go drawing library based on OpenGL
...It is built using OpenGL for hardware acceleration and offers a simple, familiar interface for developers looking to draw shapes, images, and text in desktop applications or games. Canvas focuses on ease of use, speed, and flexibility, making it suitable for GUI overlays, visualizations, and real-time 2D rendering tasks. Its API is intentionally similar to JavaScript’s Canvas API, lowering the barrier for web developers transitioning into C++ graphics work. -
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The Neural Process Family
This repository contains notebook implementations
...Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance. -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
Play-With-Sort-OC is a learning-oriented repository implemented in Objective-C that demonstrates several classic sorting algorithms with code examples (selection sort, bubble sort, insertion sort, quick sort variants, heap sort, etc). The goal is educational; by showing how each algorithm works with animations or clear visualizations in an iOS/Objective-C context, the author helps developers understand not just the “how” but also the “why” behind each algorithm. The repo is especially suited for developers working in the Apple ecosystem (Objective-C, Xcode) who want to build foundational knowledge in data structures and algorithms. By making the code accessible, it lowers the barrier to exploring algorithm performance, variant comparisons, and understanding underlying complexity. ... -
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Investing
Investing Returns on the Market as a Whole
...The key insight illustrated is that over sufficiently long holding periods (e.g. 40 years), the stock market stabilizes and nearly always yields positive returns, even accounting for extreme market crashes and recessions. The visualizations show “return curves” for different starting years and durations, and also illustrate the probability of losses over various time horizons. The project is centered on transparency in finance and encourages users to examine the data themselves; the code is shared in R and uses ggplot2 for plotting.
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