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sherpa-onnx

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages

llamafile

Distribute and run LLMs with a single file.

Popularity
Repository stars15,70126,549Highest
7-day net stars——
Fork1,837Highest1,676
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-292026-10-12
Maintenance notesNot verifiedNot verified
Repository created2022-09-012023-09-10
License & use
LicenseApache-2.0 · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeSpeech recognitionCross-platform apps · Speech recognition
TypeApps & systemsApps & systems
SubcategoryGeneralAI apps
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageC++C++
About this projectSpeech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languagesDistribute and run LLMs with a single file.
Measured at2026-11-03 08:29 UTC2026-11-03 08:23 UTC

License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.