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Based on our record, Laravel seems to be a lot more popular than statsmodels. While we know about 244 links to Laravel, we've tracked only 4 mentions of statsmodels. 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.
Laravel is one of the best PHP frameworks I ever tried in my career which works very well with relational databases such MariaDB or PostgreSQL. However recently I had the opportunity to dig into NoSQL databases, specifically into MongoDB that offers amazing features like TTL indexes or embedded documents (aka One to Few relationships). - Source: dev.to / 11 days ago
Frameworks like Laravel simplify development for Complex APIs. - Source: dev.to / about 1 month ago
We learned this lesson the hard way. Our initial Laravel and Next.js applications worked beautifully for a small team, but as we added more software developers, merge conflicts and build times became productivity killers. We had to refactor both our code architecture and our development processes. - Source: dev.to / about 1 month ago
You may have used Laravel (personally, Iโve used it a lot!). I love its developer-friendly experience and straightforward architecture. However, for the Go community, something similar was missing. Enter Goravelโa framework that makes life easier for PHP developers like me who want to work with Go. - Source: dev.to / 9 months ago
Laravel is a PHP web framework used by developers around the world. In March 2024, they launched Laravel Cloud with a full lineup of updates. All dropped at once. - Source: dev.to / 6 months ago
I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post. Source: almost 3 years ago
Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for. Source: about 3 years ago
In case you're really worried about cold start latency and your application load shows high variance in the number of concurrent requests, you might want to get a bit fancier. You could use time-series forecasting to anticipate how many containers should be warmed at each point in time. StatsModels is an open-source project that offers the most common algorithms for working with time-series. Here's a good... - Source: dev.to / about 4 years ago
Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels. Source: over 4 years ago
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