Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 4 Oct 2026, 22 days before this check.
Latest release 5.0 on 8 Feb 2024.
Public since March 2023, a little over 3 years.
2,702 stars and 287 forks.
10 commits and 0 new issues in the last 90 days.
25 contributors. 3 pull requests merged in 90 days.
No security policy file says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
This tool transforms a recorded singing voice into the voice of a different singer. It runs on a normal personal computer and trains much faster than older programs. You provide audio files of the target voice to teach the program. The software is free to run, but you need a graphics card with enough memory. You also need to spend time gathering clean audio clips and setting up the command line.
What it is
DDSP-SVC is an open-source singing voice conversion system built on Differentiable Digital Signal Processing (a method that uses machine learning to generate sound through digital signal processing filters). It allows users to train custom voice models and convert vocals in real-time or from audio files.
What it is good for
Solo builders and creators who want to clone singing voices for music production or content creation without needing expensive server hardware.
- Trains much faster than older voice conversion software.
- Supports real-time voice changing through a simple graphical interface.
- Requires less computer memory than alternative systems.
- Requires a dedicated graphics card with enough memory to run smoothly.
- Setup involves downloading multiple separate pre-trained model files.
- Gathering and cleaning the required training audio clips takes considerable time.
SO-VITS-SVC
RVC-Project/Retrieval-based-Voice-Conversion-WebUI
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pip install -r requirements.txt