Anyone out there using web2py? [closed]

Answer 1

I am not using web2py. But I had a look at the source code and it's horrible for so many reasons. For one the database definitions as well as the views and models and I don't know what, are evaluated against a global dictionary of values. It feels like PHP in that regard (it's bypassing Python semantics in name behaviour) and is very inefficient and I could imagine that it's hard to maintain.

I have no idea where all that fuzz about web2py is coming from lately, but I really can't see a reason why anyone would want to use it.

What's wrong with Django or Pylons? What does web2py do that you can't do with Django in a few lines of code with a better performance, code that's easier to read and on an established platform where tons of developers will jump in and fix problems in no time if they appear. (Well, there are exceptions I must admit, but in general the developers fix problems quickly)

Answer 2

We started to use Web2py 7 months ago. We already have one application in production in El Prado (National Museum in Spain). We developed a app to check and automate all the systems, to make servers statistics, access statistics, etc.

Answer 3

I use it in production on Google Appengine for www.crowdgrader.org. I store data as follows:

• The core metadata, where I need ACID, is stored in Google Cloud SQL, which is working very well for me. For big text fields, I store in Google Cloud SQL the key, and in the Datastore the key-value.
• The text typed by users is stored in the Google Datastore, see above, with the key stored in Cloud SQL.
• File uploads go in the blobstore.

I am slowly migrating more storage to the Datastore, to get more write bandwidth for things that do not require complex queries and can deal with a bit of eventual consistency.

I am very happy about web2py + appengine + Google Cloud SQL + Datastore + Blobstore.

Answer 4

I am using web2py for 2 years, this web frameworks is great and unique. Easy to use, accept a lot of DB's but the best DB supported is postgres. I have created 2 projects with web2py and a really like how easy it is. 1 project is a financial management and other a mail tracker, both in production systems (4 linux lpar with postgres) running fine. web2py is a good choice

[small application created with web2py 2.5.1] updated

http://freitasmgustavo.pythonanywhere.com/calculoST/

Answer 5

I am using web2py in production with postgres on webfaction, and also on the GAE.

Answer 6

I use Web2py with Google App Engine in production. See https://www.nittiolearn.com.

For storing data, Google Datastore (accessed via web2py DAL) is used except for storing large resources where Google Cloud Storage is used. I have done multiple web2py version upgrades on the production environment in the last 5 years without any major issues.

Google app engine has also been mostly friction-free over the years.

But neither Web2py nor Google app engine has been adopted widely as I had thought 5-6 years ago. If I'm starting a new project, I'm unlikely to go with web2py or app engine as the number of developers who will be excited to work on these technologies is limited.