Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation
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+31
STARS · LAST 30 DAYS
1
PER DAY
#645
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +31 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
hyprwhspr gained 31 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 1 year old and has averaged roughly 1.2K stars a year. It ranks #645 among Python repositories and #4,795 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#5612
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
hyprwhspr has maintained a continuous presence across global trending indexes, peaking at #5612. Below is the 30-day activity profile:
💡 Overview
hyprwhspr is an open-source project written in Python: Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, archlinux, cachyos. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install hyprwhspr⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
hyprwhspr coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with hyprwhspr.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install hyprwhspr using your package manager: `pip install hyprwhspr`
Initialize your project workspace or configuration file for hyprwhspr.
Import hyprwhspr into your codebase or invoke it directly from your terminal.
Execute your test suite or run `hyprwhspr --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
goodroot/hyprwhspr is currently ranked #4,795 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,789 | RookieEnough/Morphe-AutoBuilds | Python | ★ 1.2K | Compare ↗ |
| #4,791 | JetBrains/resharper-unity | C# | ★ 1.2K | Compare ↗ |
| #4,791 | LavaMoat/LavaMoat | JavaScript | ★ 1.2K | Compare ↗ |
| #4,793 | MetaMask-AI/metamask-desktop | CSS | ★ 1.2K | Compare ↗ |
| #4,793 | volotat/mini-AGI | Python | ★ 1.2K | Compare ↗ |
| #4,795 | goodroot/hyprwhspr This Project | Python | ★ 1.2K | |
| #4,795 | stffn/declarative_authorization | Ruby | ★ 1.2K | Compare ↗ |
| #4,795 | knurling-rs/defmt | Rust | ★ 1.2K | Compare ↗ |
| #4,795 | projectdiscovery/mapcidr | Go | ★ 1.2K | Compare ↗ |
| #4,799 | fables-tales/rubyfmt | Rust | ★ 1.2K | Compare ↗ |
| #4,799 | JetBrains/intellij-sdk-code-samples | Java | ★ 1.2K | Compare ↗ |
Frequently Asked Questions
What does hyprwhspr do? +
Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation
What language is hyprwhspr written in? +
The primary language is Python. Topics include: ai, archlinux, cachyos, cohere-ai, debian.
Is hyprwhspr actively maintained? +
Yes, the last recorded push was on Oct 7, 2026 with 2 open issues being tracked.
How many stars does hyprwhspr have? +
hyprwhspr has 1,234 stars and 106 forks on GitHub.
How does hyprwhspr rank among GitHub repositories? +
With 1,234 stars, goodroot/hyprwhspr is ranked #4,795 globally across all repositories tracked on GitHubRepo and #645 among Python projects.
What license is hyprwhspr distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
