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title: Should You Still Use python-dotenv in 2026? | daily.dev
description: Python projects typically evolve from hard-coded secrets to os.environ, then to python-dotenv and .env files for convenience, with pydantic-settings,...
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# Should You Still Use python-dotenv in 2026?

**[Infisical](https://daily.dev/sources/infisical)** · 10 min read · 1 upvotes · 0 comments

## Summary

Python projects typically evolve from hard-coded secrets to os.environ, then to python-dotenv and .env files for convenience, with pydantic-settings, python-decouple, and keyring as alternatives. While .env files work fine for solo projects, they break down for teams: they're prone to accidental commits, hard to share securely, lack automated rotation, provide no audit trail, and environment separation relies on naming conventions rather than enforced boundaries. The suggested alternative is a secrets manager (Infisical is used as the example) that centralizes secrets, ties access to identities, logs reads, and enables rotation without changing how application code reads environment variables.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://infisical.com/blog/should-you-still-use-python-dotenv>

## Questions this post answers

### Why does python-dotenv become a problem for a team instead of a solo project?

A .env file is a plaintext file with sensitive credentials sitting in a project folder, which works for one developer but creates real problems at team scale: it can be accidentally committed and leaked, sharing it requires insecure channels like Slack or email with no expiration or access control, compromised credentials can't be rotated automatically across every copy, there is no audit trail of who read a secret, and environment separation relies only on naming conventions like .env.production rather than an enforced boundary.

_daily.dev surfaces practical guidance like this for developers weighing when to graduate off .env files._

### What are the alternatives to python-dotenv for managing secrets in a Python app?

Options include pydantic-settings, which wraps python-dotenv with typed validation on top of the same .env file; python-decouple, a smaller library offering the same functionality through a config() call and supporting settings.ini; keyring, which stores credentials in the OS-native credential store (Keychain, Credential Locker, Secret Service) but doesn't work in headless server or container environments; and dedicated secrets managers like Infisical for team and production use.

_Developers comparing secrets-handling tools for Python can track these trade-offs through daily.dev._

### How does switching from a .env file to Infisical change how a Python app reads its configuration?

It does not require any code change: os.environ["DATABASE_URL"] and pydantic-settings validation still work exactly the same way. Infisical can import an existing .env file directly, and the Infisical CLI starts the same process (for example 'infisical run -- python manage.py runserver') with real secrets injected as environment variables from a centrally managed, access-controlled store instead of a static file.

_For teams planning a secrets manager migration without rewriting app code, daily.dev keeps this kind of practical walkthrough close at hand._

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---

Tags: [#python](https://daily.dev/tags/python), [#secrets-management](https://daily.dev/tags/secrets-management)

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