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Pricing
No public pricing
No public pricing
Open Source: $0
Free: $0
Premium: $10/contributor
Free: $0 /month
Popular: $9.99 /month
Enterprise: $49 /month
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Core features
- ✦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)
- ✦Natural language to SQL conversion
- ✦Data-driven Performance Reviews
- ✦AI-Powered Retrospective Insights
- ✦Contribution and Work Quality Analytics
- ✦Operational Bottleneck Alerts
- ✦Gamification (XP, Levels, Achievements, Leaderboard)
- ✦Seamless GitHub and Bitbucket Integration
- ✦LLM-Powered Reporting for features and bug fixes identification
- ✦Scheduled Notifications via email and Slack
- ✦AI Chat for team progress inquiries
- ✦Automated progress insights and development velocity metrics
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL queries from text descriptions.
- →Optimize engineering processes and track team performance.
- →Empower teams with actionable insights and gamified motivation.
- →Gain 360-degree visibility into engineering team performance for data-driven decisions.
- →Acquire, reactivate, and engage open-source contributors.
- →Track pull requests and analyze commits to monitor team progress.
- →Generate automated email and Slack notifications for development updates.
- →Identify features and bug fixes from commit messages and pull request descriptions.
- →Receive intelligent summaries of team progress and development velocity metrics.
- →Understand team activity and project insights without deep technical knowledge.
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
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