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devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
52K visits/mo
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CodeRabbit
✓ verifiedPaid
AI code review tool with huge adoption; ~870K visits and 1.4M saves.
870K visits/mo1.5M saves
Pricing
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us
No public pricing
No public pricing
Core features
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- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦AI-powered code reviews
- ✦Contextual line-by-line feedback
- ✦Critical change flagging
- ✦Bot interaction
- ✦Direct commit from GitHub
- ✦Integration with Jira & Linear
- ✦Agentic Chat with CodeRabbit
- ✦Product analytics dashboards
- ✦Customizable reports
- ✦Docstrings generation
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Voice, video, audio, and text surveys and forms
- ✦AI Probing
- ✦AI Survey Generation
- ✦AI Translation (50+ languages)
- ✦AI Transcription
- ✦Sentiment and Thematic Analysis
- ✦Standard Survey Features (multiple choice, likert scale, etc.)
- ✦Voice and Video Responses
- ✦Branching and Logic
- ✦Customization
Use cases
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- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Automated code review for pull requests
- →Identifying potential bugs and vulnerabilities
- →Improving code quality and consistency
- →Onboarding new developers with AI-driven guidance
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Concept Testing
- →Net Promoter Score
- →Brand Tracking
- →Diary Study
- →Product Feedback
- →Exploratory Research
- →Event Feedback
- →Creative Testing
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