shorten rudderstack description

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nodiscc 2023-02-19 17:59:30 +01:00
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@ -133,7 +133,7 @@ _Related: [Personal Dashboards](#personal-dashboards)_
- [Plausible Analytics](https://plausible.io/) - Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics. ([Source Code](https://github.com/plausible/analytics/)) `MIT` `Elixir`
- [PostHog](https://posthog.com) - Product analytics, session recording, feature flagging and a/b testing that you can self-host. Alternative to Mixpanel/Amplitude/Heap/HotJar/Optimizely. ([Source Code](https://github.com/posthog/posthog)) `MIT` `Python`
- [Redash](http://redash.io) - Connect and query your data sources, build dashboards to visualize data and share them with your company. ([Demo](https://demo.redash.io), [Source Code](https://github.com/getredash/redash)) `BSD-2-Clause` `Docker`
- [RudderStack](https://rudderstack.com/) - The warehouse-first customer data platform (CDP) that builds your CDP on your data warehouse for you. RudderStack makes it easy to collect, unify, transform, and store your customer data as well as route it securely to a wide range of common, popular marketing, sales, and product tools (open-source alternative to Segment et al.). ([Source Code](https://github.com/rudderlabs/rudder-server/)) `AGPL-3.0` `Go`
- [RudderStack](https://rudderstack.com/) - Collect, unify, transform, and store your customer data, and route it to a wide range of common, popular marketing, sales, and product tools. alternative to Segment. ([Source Code](https://github.com/rudderlabs/rudder-server/)) `AGPL-3.0` `Go`
- [Shynet](https://github.com/milesmcc/shynet) - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS. `Apache-2.0` `Python`
- [Socioboard](https://socioboard.org/) - `⚠` Social media management, analytics, and reporting platform supporting nine social media networks out-of-the-box. ([Source Code](https://github.com/socioboard/Socioboard-4.0)) `GPL-3.0` `C#/JavaScript`
- [Superset](http://superset.apache.org/) - Modern, enterprise-ready business intelligence web application. ([Source Code](https://github.com/apache/incubator-superset)) `Apache-2.0` `Python`