Comparison
dsnote vs awesome-whisper
Verdict
Pick dsnote if dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Markdown twin · dsnote alternatives · awesome-whisper alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | dsnote | awesome-whisper |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dsnote
- An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating.
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- dsnote
- 1.7k
- awesome-whisper
- 2.4k
Forks
- dsnote
- 73
- awesome-whisper
- 180
Open issues
- dsnote
- 147
- awesome-whisper
- 7
Language
- dsnote
- C++
- awesome-whisper
- -
Adopt for
- dsnote
- dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0.
- awesome-whisper
- awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Persona
- dsnote
- -
- awesome-whisper
- -
Runtime
- dsnote
- -
- awesome-whisper
- -
License
- dsnote
- dsnote uses MPL-2.0, allowing redistribution, modification, and use in proprietary software with attribution but requires that derivative works are under the same license.
- awesome-whisper
- CC0-1.0
Last pushed
- dsnote
- Sep 19, 2026
- awesome-whisper
- Sep 17, 2026
Categories
- dsnote
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Days since push
- dsnote
- 0d
- awesome-whisper
- 3d
Open issues (now)
- dsnote
- 147
- awesome-whisper
- 7
Stars delta
- dsnote
- +108 (30d)
- awesome-whisper
- +25 (30d)
Open issues delta
- dsnote
- +6 (30d)
- awesome-whisper
- 0 (30d)
Full report
- dsnote
- Trust report
- awesome-whisper
- Trust report
Choose dsnote if…
- License: dsnote is MPL-2.0, awesome-whisper is CC0-1.0.
- Requirements: - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source..
- Tags unique to dsnote: asr, machine-translation, nmt, offline.
- - For users who prefer working without internet access while needing speech recognition and machine translation capabilities.
When NOT to use dsnote
- - If the user's primary requirement is cloud-based services with real-time updates or extensive language databases not included in dsnote.
- - For users who need a cross-platform solution since dsnote specifically supports Linux desktop environments and not Windows or Mac OS by default.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, dsnote is MPL-2.0.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai.
- When seeking curated information on Whisper variants optimized for various platforms and languages
When NOT to use awesome-whisper
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem
- In cases where the focus is on using pre-integrated solutions without the need for model customization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mkiol/dsnote) · observed Sep 20, 2026
- GitHub forks (mkiol/dsnote) · observed Sep 20, 2026
- Last push (mkiol/dsnote) · observed Sep 19, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome-whisper) · observed Sep 20, 2026
- GitHub forks (sindresorhus/awesome-whisper) · observed Sep 20, 2026
- Last push (sindresorhus/awesome-whisper) · observed Sep 17, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dsnote 1.7k · awesome-whisper 2.4k (synced Sep 20, 2026).
Common questions
- What is the difference between dsnote and awesome-whisper?
- dsnote: An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating.. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose dsnote over awesome-whisper?
- Choose dsnote over awesome-whisper when License: dsnote is MPL-2.0, awesome-whisper is CC0-1.0; Requirements: - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source.; Tags unique to dsnote: asr, machine-translation, nmt, offline; - For users who prefer working without internet access while needing speech recognition and machine translation capabilities.
- When should I choose awesome-whisper over dsnote?
- Choose awesome-whisper over dsnote when License: awesome-whisper is CC0-1.0, dsnote is MPL-2.0; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages.
- When should I avoid dsnote?
- - If the user's primary requirement is cloud-based services with real-time updates or extensive language databases not included in dsnote. - For users who need a cross-platform solution since dsnote specifically supports Linux desktop environments and not Windows or Mac OS by default.
- When should I avoid awesome-whisper?
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization
- Is dsnote or awesome-whisper more popular on GitHub?
- awesome-whisper has more GitHub stars (2,386 vs 1,661). Stars measure visibility, not whether either tool fits your constraints.
- Are dsnote and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (dsnote: MPL-2.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to dsnote or awesome-whisper?
- GraphCanon lists graph-backed alternatives at dsnote alternatives and awesome-whisper alternatives (dsnote markdown twin, awesome-whisper markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dsnote or awesome-whisper?
- dsnote: Very active. awesome-whisper: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for dsnote and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dsnote trust report; awesome-whisper trust report.