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Finding an open-source analysis tool is difficult. For these reasons, searching GitHub for “analytics” repositories may be a mistake:
We’ve compiled the best open source analytics tools to assist. We will list their strengths and weaknesses.
As GitHub’s most-starred and forked open source analytics tool, it ranks here. I also included a few interesting but unpopular ones. In 2021, this tool will be even more important in open source analytics.
Matomo, Plausible, Koko, and Offen—Google Analytics competitors—are not covered here. It’s fine for some uses, but if you’re just starting to use open source analysis tools, it’s better to ditch all packaged tools.
Data Profiling Business Intelligence Tools? Great Expectations
They replace packaged SaaS tools and give you full data control and insight. This tool offers control and customization. You control your data and can analyze it. Setup and operation require resources.
Countly’s read/write API and analytics for mobile, web, and desktop make data access easy. Open-source plugins can improve data collection and analysis.
The open source version lacks some enterprise features. Open source lacks real-time data, user profiles, and funnel design. The open source version “stores data only in an aggregated format,” so you cannot export it for more granular analysis (although this makes reporting faster).
PostHog is an easy-to-deploy self-hosted open source analytics platform. One-click Heroku tool deployment. This distinguishes it from other open-source analysis tools, which require more knowledge to install and run. New open source teams love PostHog.
Best Open Source Software 2021
Building a marketing property with open-source analytics can limit PostHog.
For enterprise-scale open-source analytics, consider a tool mesh that feeds data into your data warehouse. Number 14 on this list is perfect for this.
Wasabi is Intuit’s real-time, open-source, 100% API-based A/B testing platform. Open-source testing software lets users own their data and experiment on web, mobile, and desktop. Wasabi is fast, scalable, and user-friendly for organizations of all sizes.
Business Intelligence Tools—and How to Choose One
Wasabi, an API-driven A/B testing tool, is used by developers. TurboTax and QuickBooks tested this software for years.
As of August 28, 2019, Intuit no longer develops or supports Wasabi, a proven open-source platform that can run on a server or in the cloud.
Grouparoo, an open-source reverse ETL solution, makes sending data from your data warehouse to cloud-based marketing, sales, and customer platforms like Mailchimp, Salesforce, and Zendesk easy. Grouparoo supports any technology stack. Like DBT projects, you can configure locally, commit changes, and deploy using git. A web interface supports complex configurations.
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Pimcore entered open source in 2010. Open-source platforms manage digital data and customer experience.
These tools are data pipeline-specific. An open source data platform can use it to perform a single function. These tools do things SaaS tools can’t. Their drawback is that they are purpose-built. Every use case requires multiple tools like this.
Data Observability Business Intelligence Tools? 5 Important 2023 Factors
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