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fabio-garavini
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fabio-garavini/ha-openai-whisper-stt-api

HACS custom integration for using Whisper speech-to-text (OpenAI, GroqCloud or Mistral) API in the Assist pipeline, reducing the workload on the Home Assistant server.

Python ◇ groq AGPL-3.0
★111STARS
⑂19FORKS
!2ISSUES
🏆#25,396GLOBAL RANK
🔥21DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

ha-openai-whisper-stt-api is ha-openai-whisper-stt-api is an open-source project written in Python: HACS custom integration for using Whisper speech-to-text (OpenAI, GroqCloud or Mistral) API in the Assist pipeline, reducing the workload on the Home Assistant server.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), fabio-garavini/ha-openai-whisper-stt-api has accumulated 111 GitHub stars and 19 forks. It is written in Python, licensed under AGPL-3.0, and ranks #25,396 globally. It is actively maintained with the latest commit recorded on Oct 18, 2026.”
Repository fabio-garavini/ha-openai-whisper-stt-api ↗
Primary Category groq
Language & Stack Python
Software License AGPL-3.0
Community Traction ★ 111 stars · ⑂ 19 forks · #25,396 globally
Maintenance ● Active (Last commit: Oct 18, 2026) · 2 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is ha-openai-whisper-stt-api actively maintained in 2026?
Verdict: Actively Maintained

Yes, ha-openai-whisper-stt-api is actively maintained. Continuous telemetry recorded the last code commit on Oct 18, 2026 (25 days ago). Supported by 111 stars and 19 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (25 days ago) and healthy issue cadence.

Commit Recency
Oct 18, 2026
25 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
19 Forks
111 Stars Recorded
Software License
AGPL-3.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for fabio-garavini/ha-openai-whisper-stt-api
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,544

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

ha-openai-whisper-stt-api gained 10 stars in the last 30 days, about 1 a day, and now has 111. It is about 3 years old and has averaged roughly 37 stars a year. It ranks #3,544 among Python repositories and #25,396 across all languages on GitHubRepo.

Trending Record

ha-openai-whisper-stt-api has maintained a continuous presence across global trending indexes, peaking at #16688. Below is the 30-day activity profile:

💡 Overview

ha-openai-whisper-stt-api is an open-source project written in Python: HACS custom integration for using Whisper speech-to-text (OpenAI, GroqCloud or Mistral) API in the Assist pipeline, reducing the workload on the Home Assistant server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in groq, home-assistant, openai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install ha-openai-whisper-stt-api

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ha-openai-whisper-stt-api 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 ha-openai-whisper-stt-api.

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

1

Install ha-openai-whisper-stt-api using your package manager: `pip install ha-openai-whisper-stt-api`

2

Initialize your project workspace or configuration file for ha-openai-whisper-stt-api.

3

Import ha-openai-whisper-stt-api into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `ha-openai-whisper-stt-api --help` to verify successful setup.

👍 Strengths

Active community backing with 111 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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Explore all OpenAI API & ChatGPT alternatives →
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👥 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

fabio-garavini/ha-openai-whisper-stt-api is currently ranked #25,396 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#25,287 rvdende/cadrs Rust ★ 112 Compare ↗
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#25,287 sdparklab/Voltide C# ★ 112 Compare ↗
#25,396 fabio-garavini/ha-openai-whisper-stt-api This Project Python ★ 111
#25,396 blackwinter-attic/wirble Ruby ★ 111 Compare ↗
#25,396 ledger/cl-ledger Common Lisp ★ 111 Compare ↗
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Frequently Asked Questions

What does ha-openai-whisper-stt-api do? +

HACS custom integration for using Whisper speech-to-text (OpenAI, GroqCloud or Mistral) API in the Assist pipeline, reducing the workload on the Home Assistant server.

Is ha-openai-whisper-stt-api actively maintained in 2026? +

Yes, ha-openai-whisper-stt-api is actively maintained. The latest code push was recorded on Oct 18, 2026 (25 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 111 stars and 2 open issues.

What language is ha-openai-whisper-stt-api written in? +

The primary language is Python. Topics include: groq, home-assistant, openai, stt, whisper.

How many stars does ha-openai-whisper-stt-api have? +

ha-openai-whisper-stt-api has 111 stars and 19 forks on GitHub.

How does ha-openai-whisper-stt-api rank among GitHub repositories? +

With 111 stars, fabio-garavini/ha-openai-whisper-stt-api is ranked #25,396 globally across all repositories tracked on GitHubRepo and #3,544 among Python projects.

What license is ha-openai-whisper-stt-api distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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