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udpate rudderstack language
- https://github.com/rudderlabs/rudder-server/#step-1-set-up-rudderstack
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@ -133,7 +133,7 @@ _Related: [Personal Dashboards](#personal-dashboards)_
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- [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`
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- [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`
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- [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`
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- [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`
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- [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` `Docker/K8S/Go/Nodejs`
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- [Shynet](https://github.com/milesmcc/shynet) - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS. `Apache-2.0` `Python`
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- [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`
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- [Superset](http://superset.apache.org/) - Modern, enterprise-ready business intelligence web application. ([Source Code](https://github.com/apache/incubator-superset)) `Apache-2.0` `Python`
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