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GoldenCheetah vs Portfolio Performance

Side-by-side comparison for macOS

GoldenCheetah

8.0
Science

Performance software for cyclists, runners and triathletes

Portfolio Performance

8.0
Finance

Calculate the overall performance of an investment portfolio

Metric GoldenCheetah Portfolio Performance
Category Science Finance
AI Score 8.0 8.0
30-day Installs 5 91
90-day Installs 33 240
365-day Installs 179 960
Version 3.7 0.83.2
Auto-updates No Yes
Deprecated Yes No
GitHub Stars 2.1K 3.7K
GitHub Forks 466 752
Open Issues 67 465
License GPL-2.0 EPL-1.0
Language Standard ML Java
Last GitHub Commit 1mo ago 1mo ago
First Seen Feb 9, 2015 Apr 12, 2017

Reviews

GoldenCheetah

GoldenCheetah is a comprehensive open-source performance analysis tool designed specifically for cyclists, runners, and triathletes. It provides advanced data visualization, training load analysis, and performance metrics, making it an invaluable resource for athletes and coaches seeking to optimize their training regimens.

Analyzes training data to provide insights into performance metrics for cyclists, runners, and triathletes.

Pros

  • + Open-source with an active community and regular updates.
  • + Comprehensive suite of tools for performance analysis.
  • + Supports a wide range of sports including cycling, running, and triathlon.

Cons

  • - No auto-update feature, requiring manual installation of updates.
  • - Primarily focused on niche sports, which may limit its appeal to a broader audience.

Portfolio Performance

Portfolio Performance is a comprehensive open-source tool for tracking and evaluating investment portfolios across various asset types. It offers detailed performance analysis, making it ideal for investors seeking transparency and customization.

Calculates and evaluates the performance of investment portfolios, including stocks, cryptocurrencies, and other assets.

Pros

  • + Open-source with active community
  • + Supports multiple asset types
  • + Detailed performance tracking

Cons

  • - High number of open issues
  • - Limited discussion on Reddit