doppler-env
Inject Doppler secrets as environment variables into your Python application during local development with debugging support for PyCharm and Visual Studio Code.
Decision gist · record as of 2026-08-14
No. The package is abandoned (last release 2022-12-08, repository archived) with no active maintenance. While it has low install friction and a permissive license, the lack of ongoing updates means it may not work with current Python versions, IDE updates, or Doppler API changes. For active Doppler secret injection in development, use the Doppler CLI directly or evaluate actively maintained alternatives.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires the Doppler CLI installed locally and authenticated via `doppler login`, or a DOPPLER_TOKEN service token for API-based secret fetching.
- Low install friction with a pure Python wheel and minimal dependencies.
- However, the package is abandoned as of 2022-12-08 with no recent maintenance, so it may not work reliably with current Python or IDE versions.
License · maintenance · safety
APL 2.0 (permissive) — Licensed under APL 2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both personal and commercial projects.
last release 2022-12-08 (1345 days) · last repo commit 2022-12-08 · 11 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 132,826 downloads/mo, #11,535 on PyPI
Alternatives
Verify before relying
pip install doppler-env
# Set environment variables
export DOPPLER_ENV=1
export DOPPLER_PROJECT=my-project
export DOPPLER_CONFIG=dev
# Run your app—secrets are injected automatically
python app.py- Whether the package still works with Python versions beyond 3.10 or with modern IDE versions.
- Current status of the Doppler CLI and API compatibility with this injection mechanism.
- Whether the site hook approach continues to function reliably across different development environments.
What it is and what it does
doppler-env automates the injection of Doppler secrets into Python applications during local development by leveraging Python's site configuration hook. It bridges a gap that exists when debugging in PyCharm or Visual Studio Code, where the IDE's Python entry-point prevents the Doppler CLI from acting as the application runner. Instead of downloading secrets to a .env file, the package fetches secrets via the Doppler CLI (recommended) or directly from the Doppler API using a service token, then injects them into the process environment before your application code runs.
The package requires minimal setup: install it as a dev dependency, set the DOPPLER_ENV environment variable to enable injection, configure your Doppler project and config (either via `doppler setup` or IDE environment variables), and secrets are automatically available to your application. It supports both CLI-based and token-based secret retrieval, making it flexible for restrictive environments where the CLI cannot be used.
Use it for
- Debug Python applications in PyCharm or VS Code without downloading secrets to disk or .env files.
- Automatically inject Doppler secrets into your local development environment without wrapping commands with `doppler run`.
- Use Doppler service tokens to fetch secrets from the API in restricted environments where the CLI is unavailable.
- Maintain a unified secret management workflow across terminal, IDE, and CI/CD pipelines during development.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last release 2022-12-08, repository archived) with no active maintenance. While it has low install friction and a permissive license, the lack of ongoing updates means it may not work with current Python versions, IDE updates, or Doppler API changes. For active Doppler secret injection in development, use the Doppler CLI directly or evaluate actively maintained alternatives.
Install
doppler-env on PyPI
Before you install
Low install friction with a pure Python wheel and minimal dependencies. However, the package is abandoned as of 2022-12-08 with no recent maintenance, so it may not work reliably with current Python or IDE versions.
Requires the Doppler CLI installed locally and authenticated via `doppler login`, or a DOPPLER_TOKEN service token for API-based secret fetching.
License in practice
Licensed under APL 2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both personal and commercial projects.
Quickstart
pip install doppler-env
# Set environment variables
export DOPPLER_ENV=1
export DOPPLER_PROJECT=my-project
export DOPPLER_CONFIG=dev
# Run your app—secrets are injected automatically
python app.pyVerify before relying
- Whether the package still works with Python versions beyond 3.10 or with modern IDE versions.
- Current status of the Doppler CLI and API compatibility with this injection mechanism.
- Whether the site hook approach continues to function reliably across different development environments.
Package facts
| License | APL 2.0 permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespippython-dotenv |
| Maintenance | Abandoned 1,345 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 132,826 / month, #11,535 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Build ToolsTopic :: Utilities |
Evidence: doppler_env-0.3.1-py3-none-any.whl
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