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SPECIFICTION
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Mira vs OpenHomeKaraoke

Mira

miracode.ai

OpenHomeKaraoke

github.com

Side by side

FigureMiraOpenHomeKaraoke
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Self-hostedYesYes
Plans published10
Spec score · Sega Master System Emulators7.5 (#10)7.5 (#11)
LicenseThe source is available under the Apache 2.0 license.The repository identifies its license as GPL-3.0.

Plans

Mira

  • Self-hosted MiraFree

Mira pricing →

OpenHomeKaraoke

No plans published.

OpenHomeKaraoke pricing →

In their own words

Mira

Mira is a free, open-source AI code reviewer for pull and merge requests. It indexes repositories, using project context beyond the changed diff when assessing changes. Review results include inline comments with severity and confidence, plus a pull-request walkthrough and summary. GitHub users can apply one-click suggestions. Security analysis combines model-based review with secret scanning and OSV checks for packages added or upgraded in a request. Mira can learn custom review rules from rejected comments and recurring feedback on merged requests. It supports GitHub, GitLab, Forgejo, and Codeberg; Bitbucket support is planned. Operators deploy Mira themselves as a Docker image, storing indexes in SQLite or Postgres. Requests are routed through OpenRouter, with provider choices including Anthropic, OpenAI, Google, and DeepSeek. The maker says self-hosted deployments send no data or telemetry to its infrastructure. The source is available under Apache 2.0. The free plan includes all features; users pay model-provider costs directly.

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OpenHomeKaraoke

OpenHomeKaraoke is a free, open-source karaoke system for searching, downloading, and queueing songs at home. It can find songs on YouTube and download from YouTube and other video sites, including Youku and Bilibili. Playback supports MP3 and CDG files, including ZIP bundles. A DNN-based vocal splitter offers instrumental, vocal, or combined playback and requires PyTorch, preferably with GPU support; stereo track subtraction is also described. Voice search and queueing use OpenAI’s multilingual Whisper model. People on the same network can use a phone or computer browser to search the local library and add songs to a shared queue. Playback controls include pitch and tempo changes, seeking, and audio and subtitle delay. The display can be sent to a TV by HDMI or screen sharing, or viewed in a browser through an HTTP stream. Setup requires Python dependencies, VLC, and ffmpeg. Existing songs remain accessible offline, but internet search and new downloads do not. The project uses GPL-3.0, and its releases page lists no releases.

Visit github.com