The native macOS alternative to Process Explorer with advanced process monitoring capabilities
Open-source API mock server for multiple protocols
Stage
Not given
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Founded
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Based in
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US
Pricing model
Freemium
Freemium
Pricing
Free version with core features; paid license $34.99 USD for lifetime updates and unlimited devices. Also available on Setapp for $14.99/year or $34.99 lifetime.
Free: $0/month with 10,000 requests/month and local mocks only. Pro: $29/month with 250,000 requests/month, 100,000 platform AI tokens/month, and 3 hosted mocks. Team: $99/month with 1,000,000 requests/month, 1,000,000 platform AI tokens/month, and unlimited hosted mocks. Annual plans include 2 mont
Key features
Per-process CPU and memory history
Process tree visualization with XPC service linking
Real-time disk I/O and memory pressure monitoring
CPU QoS breakdown and memory footprint analysis
Menu bar dashboard for system health tracking
Multi-property and regex search
JavaScript-based advanced filters
Deep process inspection with signature and entitlements info
CSV export for historical data and reporting
Multi-protocol support (REST, gRPC, GraphQL, WebSocket, Kafka, MQTT and more)
Realistic data synthesis with template tokens and faker fields
Latency and fault injection for testing retries and fallbacks
Record and replay for capturing and replaying live traffic
Modern admin UI for managing servers, overrides and metrics
Configuration as code with OpenAPI specs and YAML
Local-first development without account requirement
CI integration with local endpoints
HTTP bridge exposing gRPC services over REST
BYOK AI integration with user provider keys
What makes it different
Visualize complex process hierarchies with automatic XPC service linking
Advanced JavaScript filtering and multi-property regex search
Historical performance tracking with peak and average metrics
Retains information about finished processes for later analysis
Fully private with no data collection or remote transmission
Multi-protocol mocking from one configuration file
Realism-first simulation with data synthesis and failure injection
Open source with permissive MIT or Apache-2.0 licensing
Local-first approach with optional cloud collaboration