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dashboard

Monitoring centralisé pour instances Nextcloud multiples

What are the features in GitLab release x? Which license tier are they in? What stage do they belong to?

Report here: https://gitlab-com.gitlab.io/cs-tools/gitlab-cs-tools/what-is-new-since/

Zero-dependency live dashboard for GitHub Spec Kit projects: stages, task and checklist progress and recent file changes, updated in real time.

Battery-powered e-paper dashboard for Home Assistant: MicroPython on an ESP32-S3 with a Waveshare 4.2" display, deep sleep between updates, MQTT integration and a web UI for the tiles. Runs for weeks on one charge.

Lightweight, secure control plane & real-time web dashboard in Crystal for Linux firewalld and NetworkManager host security.

Terminal dashboard for LLM spend: feed it a log of your model calls and see cost per request, cost per model, budget used and a projected monthly bill, priced from a built-in table of 83 models. Runs locally, no account.

A terminal dashboard for GitLab: monitor issues, merge requests, project health, activity, and AI-powered weekly summaries across every project you can access.

A customization of the Minimalis Conky configuration for my Linux Mint Systems, with inspirations from additional configurations.

Horizon provides a beautiful dashboard and code-driven configuration for your Laravel powered Redis queues. Horizon allows you to easily monitor key metrics of your queue system such as job throughput, runtime, and job failures.

IOT Dashboard system, isolated by organization. MQTT ingestion (history via a time-series-database), alerts, etc.

Laravel Telescope is an elegant debug assistant for the Laravel framework. Telescope provides insight into the requests coming into your application, exceptions, log entries, database queries, queued jobs, mail, notifications, cache operations, ...

High-performance interactive companion dashboard for AI recommendation systems. Built by Pavan Badempet.

A simple Go-based dashboard for managing your homelab with a web interface.

Displays real-time sensor on an AIO liquid cooler with integrated LCD displays. 🐧

Admin panel for ruslangaiderbek.dev, planned last, after the site and the API are live. Next.js + Feature-Sliced Design, the same toolchain as the frontend.

The main database of the French National Health Data System (SNDS) contains data from Health Insurance reimbursements, hospital treatment and medical causes of death. In order to characterise its use for health research and innovation, an interactive cartography has been produced to understand the framework of its use and to identify the stakeholders of the SNDS ecosystem. A bibliographic search via PubMed (available here), LiSSa, HAL was conducted to identify scientific articles published starting January 2007 on studies using SNDS data. The list of authors, their affiliations, keywords, the number of citations and much more were collected. A descriptive analysis was carried out in order to assess temporal and geographical trends in the use of SNDS main database. The graphs where generated with networkx, a python package used for the creation manipulation and study of complex networks. To generate the Author/Affiliations graphs we first create the adjacency matrix between the Authors/Affiliations and the article PMIDs. We then use the networkx.Graph class to create the needed undirected graphs, using the adjacency matrices as the data to intialize the graphs.

Neon life stats dashboard powered by TIRE metrics 📊

The developed project is a fully functional dashboard pre-configured for the specific store that will use it. It includes core features such as filters, charts, data grouping, product management, user management, store details and payment information, and general settings. The project also incorporates standard registration and login pages, as well as initial screening screens where the business specifies the problems it aims to solve. It was built using Shadcn/UI.

A business analytics project focused on understanding customer subscription journeys, identifying churn patterns, analyzing user engagement, and building an interactive Power BI dashboard with actionable insights.