Learn how **Azimutt ** and StackRender differ in their key features, development activity, technology stack and community adoption, so you can decide which of these database tools & guis is best for you.
Last 30 days
Last commit
3 months agoRepository age
5 yearsLicense
MITRepository
azimuttapp/azimutt
Last 30 days
Last commit
1 month agoRepository age
2 yearsVersion
v1.4.0License
AGPL-3.0Self-hosted
YesRepository
stackrender
Both **Azimutt ** and StackRender have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
**Azimutt ** significantly outpaces StackRender in community adoption with 2,200 stars compared to 557 stars on GitHub. This 3.9x difference suggests Azimutt has a much larger and more active community. In terms of developer contributions, **Azimutt ** has 146 forks, indicating moderate developer engagement.
StackRender is growing faster, adding 4 stars in the last 30 days (+0.7%) against adding 9 stars for Azimutt ** (+0.4%**). StackRender is the smaller project of the two, so it is closing the gap rather than extending a lead.
StackRender shows more recent development activity with its last commit 1 month ago, while **Azimutt ** was last updated 3 months ago. This suggests StackRender is being more actively maintained.
**Azimutt ** has been in development longer, starting 5 years ago, compared to StackRender which began 2 years ago. This 3.8-year head start suggests Azimutt may have more mature features and established processes.
**Azimutt ** uses the MIT license, which is more permissive than StackRender's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Database Tools & GUIs. However, they also have distinct specializations: **Azimutt ** also focuses on Data Visualization.
StackRender provides self-hosting options for complete data control and customization, while **Azimutt ** may be primarily cloud-based or require different deployment approaches.