Search Results for "visualize" - Page 6
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Showing 855 open source projects for "visualize"
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Observable Plot
A concise API for exploratory data visualization
Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest. ... -
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Countly
Product analytics platform
...Countly is an innovative, real-time, open source mobile & web analytics platform, with rich push notifications and crash reporting tools. Countly securely processes billions of data points every day from mobile, desktop and web apps to help thousands of companies visualize their data, analyze and use it to grow their business. Countly is made up of two main parts: the server collecting and analyzing data, and an SDK (mobile, web or desktop) that sends this data. It comes with several great features: a single secure dashboard where you can access all user profiles, notifications, analytics and other tools; a wealth of plugins; and the option to install Countly on premises or securely in the cloud. ... -
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json-render
Generate dashboards, widgets, apps, and data visualizations
json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable in any JavaScript environment — client-side or server-side — without dependencies on a particular frontend framework, making it easy to drop into documentation sites, dev tools, or internal utilities. ... -
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MuJoCo MPC
Real-time behaviour synthesis with MuJoCo, using Predictive Control
MuJoCo MPC (MJPC) is an advanced interactive framework for real-time model predictive control (MPC) built on top of the MuJoCo physics engine, developed by Google DeepMind. It allows researchers and roboticists to design, visualize, and execute complex control tasks for simulated or real robotic systems. MJPC integrates a high-performance GUI and multiple predictive control algorithms, including iLQG, gradient descent, and Predictive Sampling — a competitive, derivative-free method that achieves robust real-time control. The system supports multi-shooting optimization, enabling precise motion planning across diverse domains like quadruped locomotion, humanoid tracking, and dexterous manipulation. ... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained... -
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Tegon
Tegon is an open-source, AI-first alternative to Jira, Linear
Tegon is an AI-first, open-source issue-tracking software that uses AI to smartly automate manual tasks, and workflows or provide more context to engineers for a given task. Manual efforts in task management, such as task triaging and backlog maintenance, can be time-consuming. Engineers often lose time navigating multiple platforms to gather task context, rather than accessing details within the task itself. Issue tracking tools serve as a task database, directing engineers on what to work... -
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Elastic APM Node.js Agent
Elastic APM Node.js Agent
...This is a deployment of APM Server (which receives APM data from the APM agent running in your application), Elasticsearch (the database that stores all APM data), and Kibana (the application that provides the interface to visualize and analyze the data). If you do not already have an Elastic deployment to use, follow this APM Quick Start guide to create a free trial on Elastic's cloud. -
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Segments.ai
Segments.ai Python SDK
Multi-sensor labeling platform for robotics and autonomous vehicles. The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. Powerful ML assistance lets you label faster and reduce costs. Integrate data labeling into your existing ML... -
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Why & When
Exposing the JDK Flight Recorder as a Spring Boot Actuator Endpoint
This is a Spring Boot 2 Starter exposing the JDK Flight Recorder as a Spring Boot Actuator Endpoint. Normally the JDK Flight Recorder is available locally or by JMX remote. Depending on your deployment scenario shell or JMX access might not be available for the application server. Here comes this handy starter into play! This starter adds a new Spring Boot Actuator endpoint for JDK Flight Recorder remote control. This RESTful endpoint allows starting and stopping Flight Recording and... -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Branchless workflow for Git
High-velocity, monorepo-scale workflow for Git
git-branchless is a suite of tools that enhances Git in several ways. It makes Git easier to use, both for novices and for power users. Patch-stack workflows: strong support for "patch-stack" workflows as used by the Linux and Git projects, as well as at many large tech companies. (This is how Git was "meant" to be used.) Prototyping and experimenting workflows: strong support for prototyping and experimental work via "divergent" development. git sync: to rebase all local commit stacks and... -
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.NET Interactive
.NET Interactive takes .NET and embeds it into your experiences
...The multi-language experience opens up doors for users to use the best language for the task at hand. .NET Interactive enables you to write code in multiple languages within a single notebook and in order to take advantage of those languages' different strengths, you might find it useful to share data between them. In just a single line of code easily visualize data with Microsoft SandDance and nteract DataExplorer. -
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GoCD
Main repository for GoCD, continuous delivery server
GoCD’s value stream map shows your entire path to production in a single view. Easily navigate across jobs, spot inefficiencies, and optimize your process. No plugin required, out of box CD. GoCD streamlines your CD workflow on popular cloud environments such as Kubernetes, Docker, AWS and more. GoCD excels at modeling complex CD workflows for fast feedback with its modeling constructs, parallel execution and dependency management. No plugin required, out of box CD. GoCD helps you... -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is a leading open-source visualization and observability platform that lets you query, visualize, alert on, and explore your data—regardless of where it’s stored. With support for 100+ data source plugins (such as Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, OTel, and more), you can unify metrics, logs, traces, and other observability signals in one place. Grafana OSS empowers you to build dynamic, reusable dashboards with rich visualizations, template variables, interactive filtering, and cross-panel linking. ... -
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kubectl tree
kubectl plugin to browse Kubernetes object hierarchies as a tree
kubectl tree is a kubectl plugin that lets you visualize Kubernetes object hierarchies as a tree by following the ownerReferences set on API objects. Instead of manually chasing which ReplicaSet owns which Pods or which higher-level controller is responsible for a given resource, it prints an ASCII tree that shows parent-child relationships at a glance. This is especially useful for understanding how complex workloads like Deployments, StatefulSets, Knative Services, or Agones Fleets fan out into lower-level resources across the cluster. ... -
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Better Stack JavaScript client
Better Stack JavaScript client
...And we believe that with the new fully integrated Better Stack platform, we’re simplifying the experience for the developers leveraging Better Stack even further. Formerly Logtail, lets you visualize your entire stack, turn your logs into structured data, and query everything like a single database with SQL. Customize retention per source to retain and query everything you want. No need to archive your logs to S3 anymore. Search all your logs anytime. See what metrics your teammates are looking at, comment on note-worthy data spikes and share log fragments with one click. ... -
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FEniCS.jl
A scientific machine learning (SciML) wrapper for the FEniCS
...Various gists/jupyter notebooks have been created to provide a brief overview of the overall functionality and of any differences between the pythonic FEniCS and the Julian wrapper. DifferentialEquations.jl ecosystem. Paraview can also be used to visualize various results just like in FEniCS. -
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Catalyst.jl
Chemical reaction network and systems biology interface
Catalyst.jl is a symbolic modeling package for analysis and high-performance simulation of chemical reaction networks. Catalyst defines symbolic ReactionSystems, which can be created programmatically or easily specified using Catalyst's domain-specific language (DSL). Leveraging ModelingToolkit and Symbolics.jl, Catalyst enables large-scale simulations through auto-vectorization and parallelism. Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy... -
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NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in... -
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Chartkick
Create beautiful JavaScript charts with one line of Ruby
...It also handles things like automatic labels, legends, colors, and responsiveness without requiring you to manually configure chart options. Because of its integration with ActiveRecord, developers can quickly visualize trends in their application’s data with minimal transformation. Chartkick is especially valued in dashboards, reporting tools, and admin panels where quick, maintainable visualization is needed without heavy front-end development. -
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Lightly
A python library for self-supervised learning on images
...That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training through advanced filtering. We provide PyTorch, PyTorch Lightning and PyTorch Lightning distributed examples for each of the models to kickstart your project. Lightly requires Python 3.6+ but we recommend using Python 3.7+. We recommend installing Lightly in a Linux or OSX environment. ... -
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Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can... -
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mgis-3d-planner
MGIS 3D-Planner is a powerful platform for rural and urban design, development, and real estate planning. Built with CesiumJS technology, it enables users to design and visualize projects while understanding their real-time impact. In addition to urban planning, MGIS 3D-Planner can be used to plan and visualize wind and solar parks, as well as..
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KeyboardVisualizer
A Keyboard Visualizer
Translucent Keyboard Visualizer for usage in Streaming, OBS and more! Ctrl+Shift+H to change to OBS-only mode (WARNING: currently buggy, recomment staying in normal mode and just move downwards out of screen instead!) -
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GemGIS
Spatial data processing for geomodeling
GemGIS is a Python-based, open-source geographic information processing library. It is capable of preprocessing spatial data such as vector data (shape files, geojson files, geopackages,…), raster data (tif, png,…), data obtained from online services (WCS, WMS, WFS) or XML/KML files (soon). Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export...
