Web appData and analytics

yupi-hot-monitor

Learn to build a multi-source trend monitor with AI analysis and live alerts.

Stars: 526
Forks: 114
Updated: Updated Jul 12, 2026

Web appData and analytics

yupi-hot-monitor

Learn to build a multi-source trend monitor with AI analysis and live alerts.

Stars: 526
Forks: 114
Updated: Updated Jul 12, 2026

Web appData and analytics

analytics

@plausibleElixir

Measure website traffic and conversions without cookies or personal tracking.

Project overview

Plausible provides privacy-first web analytics through a lightweight script and a focused, single-page dashboard. It measures traffic and events without cookies, persistent identifiers, stored IP addresses, or personal profiles, which can reduce consent and compliance overhead for many sites. Users can choose the paid managed cloud service for a maintained setup or deploy the free Community Edition themselves. Self-hosting offers control but leaves infrastructure, security, backups, and upgrades to the operator.

Stars: 27,723
Forks: 1,702
License: AGPL-3.0

Web appData and analytics

livebook

@livebook-devElixir

Build and share collaborative Elixir notebooks for code and data workflows.

Stars: 5,820
Forks: 499
License: Apache-2.0

Web appData and analytics

litlyx

@LitlyxTypeScript

Track website traffic and custom events with a hosted or self-hosted dashboard.

Project overview

Litlyx helps websites and web apps collect visits, real-time users, and custom events through a small script tag or JavaScript package. Data is viewed in its analytics dashboard, with a hosted service available for quick setup or Docker deployment for teams that want to run their own instance. Its cookie-free approach makes it a practical option for projects seeking straightforward analytics without committing entirely to a third-party cloud.

Stars: 1,742
Forks: 113
License: Apache-2.0

Web appData and analytics

codex-usage-tracker

@douglasmonskyPython

Analyze Codex token and credit usage to find expensive sessions.

Project overview

Codex Usage Tracker reads the JSONL logs already stored on your machine, indexes aggregate call, thread, cache, and supporting evidence into SQLite, and exposes the results through a localhost dashboard, CLI, and MCP tools. You can filter costly or low-cache calls, inspect thread-level drain, and ask Codex to explain usage patterns. Indexed content remains local, while generated reports and support bundles omit it by default. The project is independent and not affiliated with OpenAI.

Stars: 159
Forks: 12
License: MIT

yupi-hot-monitor

yupi-hot-monitor

Project overview

Repository facts

Related projects

analytics

livebook

litlyx

codex-usage-tracker