heroku-buildpack-python VS pip-tools

Heroku also provides a platform as a service https://www.heroku.com/python

There are plenty of ways to host a server. Some are easy: - https://www.pythonanywhere.com/ - https://www.heroku.com/python

Set the latest Buildpack, so you get the fix that's not yet in the latest release: heroku buildpacks:set https://github.com/heroku/heroku-buildpack-python.git

I would not recommend this for someone who wants to deploy to Heroku since it looks like poetry still is not supported with default build pack

Biildpacks can specify add-ons in their bin/release which Auto get added for an app's first deploy. As an example check our the python buildpacks https://github.com/heroku/heroku-buildpack-python/blob/main/bin/release

If the calculations are done in Python, you will need a web host that lets you run a Python interpreter. I don't know of any completely free ones like GH Pages, but paid ones are https://www.pythonanywhere.com/ and https://www.heroku.com/python. Heroku does have a free tier which you could look into, until the site gains more traffic. I am not affiliated with either site.

Have you checked out https://www.heroku.com/python ?

I am currently hosted on platform.sh and am a big fan. Before choosing them, I also considered PythonAnywhere and Heroku but I ultimately chose Platform.sh because of the simple pricing and infrastructure configuration.

Dead simple to setup and get going. Heroku is another alternative.

{ "buildpacks": [         { "url": "https://github.com/heroku/heroku-buildpack-python"         }     ] }

> Why is the "requirements.txt" file a stupid flat listing of all transitive dependencies with pinned versions? It makes it harder to change library versions even if there are no true conflicts.

My friend, here is what you seek: https://github.com/jazzband/pip-tools

requirements.txt is flat because it's really the output of `pip freeze`. It's supposed to completely and exactly rebuild the environment. Unfortunately it's far too flexible and people abuse it by putting in only direct dependencies etc.

If you're writing packages, you don't need a requirements.txt at all, by the way. Package dependencies (only direct dependencies) live in pyproject.toml with the rest of the package config. requirements.txt (and pip tools) are only for when you want to freeze the whole environment, like for a server deployment.

For all my projects I found myself regenerating manual lock files using complex shell commands with pip-compile to get a reproducible environments across devices using a custom pre-install-command. I finally decided that instead of hacking together the same solution on all my projects I would build a plugin that handles this complexity for me.

Instead of venv, we are using pip-tools in this starter kit. pip-tools take things further in dependency management. Check out what pip-tools does in their official GitHub repo. In short, it helps your project find the best match for the dependent packages. For example, you might need two packages A and B in your project that requires same package C under the hood. But A requires any version of C from 1.0.1 to 1.0.10 and B requires any version of C from 1.0.7 to 1.0.15. Pip tools will automatically compile the version of 'C' that suits for both of your packages.

I've created a small project called just-pip-tools that combines pip-tools and just to manage Python dependencies in a layered approach. This isn't a magic bullet; it's a set of files you can adapt to your needs.

For small projects I recommend pip-tools. Just write packet list in requirements.in and pip-compile compile a requirements.txt with comments.

Take a look at pip-tools, great package. https://github.com/jazzband/pip-tools

pip-tools

I recommend generating a lockfile to document this information, as you might do with pip-tools.

Check out pip-tools [1] which does exactly that, albeit in a slightly more polished way.

[1]: https://github.com/jazzband/pip-tools