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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
High-level frameworks can easily be built in Go and have been many times. Some examples: https://github.com/gobuffalo/buffalo, https://github.com/beego/beego. There are actual reasons frameworks aren't great, but there are certainly uses for them, specifically when you need to get things done quickly. However, I'd go for a somewhat lower-level, more lightweight framework that doesn't do as much for you, like Echo.
None, but if you wanna go the middle ground between writing pure SQL and a fully fledged ORM I recommend query builders like Squirrel
High-level frameworks can easily be built in Go and have been many times. Some examples: https://github.com/gobuffalo/buffalo, https://github.com/beego/beego. There are actual reasons frameworks aren't great, but there are certainly uses for them, specifically when you need to get things done quickly. However, I'd go for a somewhat lower-level, more lightweight framework that doesn't do as much for you, like Echo.
The maintainer of Gorilla is in the process of dropping the project (he just doesn’t have enough time for it anymore) and is looking for new maintainers. A number of volunteers have replied to the issue but it seems like nobody has been chosen yet even though the call for new maintainers has been up for over a year.
See https://github.com/livebud/bud to learn more.
tbh I think it's a culture coming from the maintainers of the language themselves. Problems are solved by assessing that they don't exist. example: https://github.com/golang/go/issues/45179
The closest I’ve seen is https://github.com/kamalshkeir/kago it’s not only building the restful part but also the ORM using Go generics to match día go behavior. It even supports migrations
At least template-wise, I've developed pongo2 mimicking Django's template engine which I use myself for various projects. For the rest I usually stick with the standard library (net/http), golang-jwt, the Gorilla toolkit (note that it's been archived recently) and some software architecture patterns for middlewares, database abstraction, etc.
At least template-wise, I've developed pongo2 mimicking Django's template engine which I use myself for various projects. For the rest I usually stick with the standard library (net/http), golang-jwt, the Gorilla toolkit (note that it's been archived recently) and some software architecture patterns for middlewares, database abstraction, etc.