Hysen Labs
Open-source project
awesome-selfhosted/awesome-selfhosted avatar
awesome-selfhosted

awesome-selfhosted

GitHub describes it as A list of Free Software network services and web applications which can be hosted on your own servers. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.

312,354 stars14,661 forksUnknownNOASSERTION
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DEEP OPEN-SOURCE ANALYSIS

awesome-selfhosted/awesome-selfhosted: Awesome-Selfhosted

GitHub describes it as A list of Free Software network services and web applications which can be hosted on your own servers. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.

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DEEP OPEN-SOURCE ANALYSIS

Repository scope

GitHub describes it as A list of Free Software network services and web applications which can be hosted on your own servers. The metadata lists the NOASSERTION license. The README describes the project this way: Self-hosting is the practice of hosting and managing applications on your own server(s) instead of consuming from SaaSS providers.

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DEEP OPEN-SOURCE ANALYSIS

Awesome-Selfhosted

The README section "Awesome-Selfhosted" states: This is a list of Free Software network services and web applications which can be hosted on your own server(s). Non-Free software is listed on the Non-Free page.

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DEEP OPEN-SOURCE ANALYSIS

Analytics

The README section "Analytics" states: Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data.

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DEEP OPEN-SOURCE ANALYSIS

Analytics

The README section "Analytics" states: - ANALOG - A minimal analytics tool. Tracks events in a span of 10-30 days. MIT Nodejs/Docker - Aptabase - Privacy first and simple analytics for mobile and desktop apps. (Source Code) AGPL-3.0 Docker - AWStats - Generate statistics from web, streaming, ftp or mail server logfiles. (Demo, Source Code) GPL-3.0 Perl - Countly Community Edition - Real time mobile and web analytics, crash reporting and push notifications platform. (Source Code) AGPL-3.0 Nodejs/Docker - d8a.tech - A data collection service that works with your existing Google Analytics setup to capture user activity and send it straight to your own private database. (Demo, Source Code) MIT Go/Docker - Daily Stars Explorer ⚠ - Track GitHub repo trends with daily star insights to see growth and community interest over time. (Demo, Source Code) MIT Go/Nodejs/Docker - Druid - Distributed, column-oriented, real-time analytics data store. (Source Code) Apache-2.0 Java/Docker - EDA - Web application for data analysis and visualization. AGPL-3.0 Nodejs/Docker - GoAccess - Real-time web log analyzer and interactive viewer that runs in a terminal. (Source Code) GPL-2.0 C - GoatCounter - Easy web statistics without tracking of personal data. (Source Code) EUPL-1.2 Go - HitKeep - Privacy-first web analytics with goals, funnels, ecommerce tracking, and team management in a single binary with embedded DuckDB (alternative to Google Analytics, Plausible, Umami). (Source Code) MIT Go/Docker - Litlyx - All-in-one Analytics Solution. Setup in 30 seconds. Display all your data on an AI-powered dashboard. Fully self-hostable and GDPR compliant. (Source Code) Apache-2.0 Docker - Liwan - Privacy-first web analytics. (Demo, Source Code) Apache-2.0 Rust/Docker - Matomo - Web analytics that protects your data and your customers' privacy (alternative to Google Analytics). (Source Code) GPL-3.0 PHP - Medama Analytics - Privacy-first website analytics. Tiny, simple, and cookie-free. (Demo, Source Code) Apache-2.0/MIT Docker/Go - Metabase - Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker - Middleware - Tool designed to help engineering leaders measure and analyze the effectiveness of their teams using the DORA metrics. (Source Code) Apache-2.0 Docker/Python/Nodejs - Netron - Visualizer for neural network and machine learning models. (Source Code) MIT Python/Nodejs - Offen - Fair, lightweight and open web analytics tool. Gain insights while your users have full access to their data. (Demo, Source Code) Apache-2.0 Go/Docker - Plausible Analytics - Simple, lightweight (< 1 KB) and privacy-friendly web analytics. (Source Code) AGPL-3.0 Elixir - PostHog - Product analytics, session recording, feature flagging and a/b testing that you can self-host (alternative to Mixpanel, Amplitude, Heap, HotJar, Optimizely). (Source Code) MIT Python - Postiz ⚠ - Schedule posts, track the performance of your content, and manage all your social media accounts in one place (Alternative to Buffer, Hootsuite, Sprout Social). (Source Code) AGPL-3.0 Docker - Prisme Analytics - Privacy-focused and progressive analytics service based on Grafana. (Source Code) AGPL-3.0/MIT Docker - Redash - Connect and query your data sources, build dashboards to visualize data and share them with your company. (Source Code) BSD-2-Clause Docker - Rybbit - Web and products analytics that is easy to setup and more intuitive (alternative to Google Analytics). (Demo, Source Code) AGPL-3.0 Docker - Shaper - Build Data Dashboards all in SQL. Powered by DuckDB. (Demo, Source Code) MPL-2.0 Docker/Nodejs/Python/Go - Socioboard ⚠ - Social media management, analytics, and reporting platform supporting nine social media networks out-of-the-box. GPL-3.0 Nodejs - Statistics for Strava ⚠ - Statistics dashboard generated from Strava data. (Demo) AGPL-3.0 Docker - Superset - Modern data exploration and visualization platform. (Source Code) Apache-2.0 Python - Swetrix - Ultimate, open-source web analytics to satisfy all your needs. (Demo, Source Code) AGPL-3.0 Docker - Umami - Simple, fast, privacy-focused alternative to Google Analytics. (Demo, Source Code) MIT Nodejs/Docker - Vince - Web analytics and dashboard (alternative to Google Analytics). (Source Code) AGPL-3.0 Go/Docker/K8S/deb

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DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

The repository README is the source for this review. It does not replace a local installation or an independent test.

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DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes