Learn how FluidVoice and Jarvis differ in their key features, development activity, technology stack and community adoption, so you can decide which of these voice dictation tools is best for you.
Last 30 days
Last commit
11 hours agoRepository age
1 yearVersion
v1.6.12License
GPL-3.0Repository
altic-dev/fluidvoice
Last 30 days
Last commit
1 month agoRepository age
11 monthsVersion
v1.3.11License
MITRepository
jarvis-ai-assistant
FluidVoice appears to have several advantages over Jarvis, particularly in popularity, growth and activity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
FluidVoice significantly outpaces Jarvis in community adoption with 12,639 stars compared to 668 stars on GitHub. This 18.9x difference suggests FluidVoice has a much larger and more active community. In terms of developer contributions, FluidVoice has 919 forks, indicating moderate developer engagement.
FluidVoice is growing faster, adding 757 stars in the last 30 days (+6.4%) against adding 25 stars for Jarvis (+3.9%). FluidVoice is both larger and pulling further ahead.
FluidVoice shows more recent development activity with its last commit 11 hours ago, while Jarvis was last updated 1 month ago. This suggests FluidVoice is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Bash, Swift. However, they differ in their additional technology choices: Jarvis leverages CSS, Typescript, JSX, Python, C, Objective-C, C++, MATLAB.
Both projects started around the same time, with FluidVoice beginning 1 year ago and Jarvis 11 months ago.
Jarvis uses the MIT license, which is more permissive than FluidVoice's GPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Voice Dictation. However, they also have distinct specializations: Jarvis extends into AI Personal Assistants.