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OpenReplay vs Trench

Learn how OpenReplay and Trench differ in their key features, development activity, technology stack and community adoption, so you can decide which of these product analytics is best for you.

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Favicon of OpenReplay

OpenReplay

Open-source session replay and product analytics platform you can self-host for complete control over data security, privacy, and compliance.
  • Stars


    11,980
  • Forks


    728
  • Last commit


    14 hours ago
  • Repository age


    5 years
  • Self-hosted


    Yes
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Screenshot of OpenReplay
Favicon of Trench

Trench

Open source analytics platform built on ClickHouse and Kafka, offering high-speed event tracking and real-time querying capabilities.
  • Stars


    1,623
  • Forks


    64
  • Last commit


    18 days ago
  • Repository age


    2 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

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Screenshot of Trench

Detailed Comparison

Both OpenReplay and Trench have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

OpenReplay wins
Community & Popularity

OpenReplay significantly outpaces Trench in community adoption with 11,980 stars compared to 1,623 stars on GitHub. This 7.4x difference suggests OpenReplay has a much larger and more active community. In terms of developer contributions, OpenReplay has 728 forks, indicating moderate developer engagement.

Comparable
Development Activity

Both projects show recent activity, with OpenReplay last updated 14 hours ago and Trench 18 days ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: OpenReplay uses JSX, Python, Golang, C, Objective-C, Ruby, Swift, Kotlin, MATLAB while Trench leverages NestJS.

OpenReplay wins
Project Maturity

OpenReplay has been in development longer, starting 5 years ago, compared to Trench which began 2 years ago. This 3.5-year head start suggests OpenReplay may have more mature features and established processes.

Trench wins
Licensing

Trench is licensed under MIT, while OpenReplay's license terms are not publicly specified.

Comparable
Use Cases & Features

Both tools serve similar use cases in Product Analytics. However, they also have distinct specializations: OpenReplay also focuses on Performance Monitoring (APM) while Trench extends into Event Streaming Platforms, Stream Processing.

Comparable
Hosting & Deployment

Both OpenReplay and Trench offer self-hosting capabilities, giving you full control over your data and infrastructure.