Amethyst vs Insomnia
Side-by-side comparison for macOS
Amethyst
7.0Nostr client
Insomnia
9.0HTTP and GraphQL Client
| Metric | Amethyst | Insomnia |
|---|---|---|
| Category | Utilities | Developer Tools |
| AI Score | 7.0 | 9.0 |
| 30-day Installs | 4 | 957 |
| 90-day Installs | 4 | 3.1K |
| 365-day Installs | 4 | 18.4K |
| Version | 1.14.0 | 13.2.0 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 650 | 38.0K |
| GitHub Forks | 42 | 2.2K |
| Open Issues | 12 | 817 |
| License | MIT | Apache-2.0 |
| Language | Crystal | TypeScript |
| Last GitHub Commit | 1y ago | 5mo ago |
| First Seen | Aug 24, 2026 | Aug 27, 2016 |
Reviews
Amethyst
Amethyst is a Nostr client focused on privacy and decentralization. It leverages the Nostr protocol for social interactions and is built using the Crystal language. Ideal for developers and users interested in decentralized social networking.
Amethyst acts as a client for the Nostr protocol, enabling users to participate in a decentralized social network.
Pros
- + Focus on privacy and decentralization through the Nostr protocol
- + Open-source with MIT license, encouraging community contributions
- + Built using the Crystal language, offering unique performance benefits
Cons
- - Small developer community may limit support and features
- - Niche appeal due to reliance on the Crystal language
- - No auto-update feature, requiring manual version checks
Insomnia
Insomnia is a comprehensive HTTP and GraphQL client designed for developers and API designers. It supports REST, WebSockets, SSE, and gRPC, with options for cloud, local, and Git storage. Its open-source nature and active community make it a go-to tool for API development.
Insomnia is a cross-platform tool for interacting with and designing APIs, supporting multiple protocols and storage solutions.
Pros
- + Supports multiple API protocols including REST, GraphQL, and gRPC
- + Flexible storage options with cloud, local, and Git integration
- + Active open-source community and regular updates
Cons
- - Can have a steep learning curve for new users
- - Occasional interface complexity