
Outerbase
TablePlus
Azimutt
DBeaver
Postico
AI2sql
Prisma
BlazeSQL
LaunchKit - Open Source
Google Open Source
GitHub Student Developer Pack
Weights & Biases
SmallDevTools
GitHub
whatdevsneed
Open Source Alternatives
OuterbaseLaunchKit is recommended for app developers and teams who are preparing to launch apps on platforms like iOS and Android. It is particularly useful for small to medium-sized teams and solo developers who need to manage multiple aspects of app launch without investing in expensive proprietary tools.
Based on our record, Outerbase seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Outerbase combines database management with data visualization and some AI sprinkled in. If you ever worked in a company with non-technical people, you've probably been asked a lot to build some kind of dashboard or query some data for them (if not, damn congrats!). I think the cool part about Outerbase is that everything looks freaking sweet out of the box and definitely better than anything you could plot in... - Source: dev.to / over 1 year ago
In the ever-evolving landscape of software development, new tools and technologies consistently emerge. However, every once in a while, something truly groundbreaking makes its mark. Today, we're looking into one such potential innovation “Outerbase”, and I promise to be candid, discussing both its strengths and weaknesses. - Source: dev.to / almost 3 years ago
TablePlus - Easily edit database data and structure
Google Open Source - All of Googles open source projects under a single umbrella
Azimutt - Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)
GitHub Student Developer Pack - The best developer tools, free for students.
DBeaver - DBeaver - Universal Database Manager and SQL Client.
Weights & Biases - Developer tools for deep learning research