deepl
Python library for the DeepL API.
Decision gist · record as of 2026-08-14
Yes. The library is actively maintained (released 1 day ago), has no known vulnerabilities, low install friction, and a permissive MIT license. It is well-suited for any Python application that needs to integrate DeepL's translation service. The main constraint is that you must obtain and manage a DeepL API key, and translation volume is subject to your account tier's character limits.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a DeepL API authentication key (free tier allows 500,000 characters/month); requires Python 3.9 or later.
- Low friction: pure Python wheel with a single runtime dependency (requests 2.32.4+).
- Active maintenance with a release 1 day ago and 1330 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license (permissive): you can use this library freely in commercial and private projects with minimal restrictions, provided you include the license notice.
last release 2026-08-13 (1 days) · last repo commit 2026-08-13 · 1,330 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,291,989 downloads/mo, #4,102 on PyPI
Alternatives
Verify before relying
pip install deepl
import deepl
auth_key = "your-api-key-here"
client = deepl.DeepLClient(auth_key)
result = client.translate_text("Hello, world!", target_lang="FR")
print(result.text) # "Bonjour, le monde !"- Whether the library fully supports all current DeepL API features or if some newer API additions lag behind the service.
- Performance characteristics and rate-limiting behavior when handling large batches or high-frequency requests.
What it is and what it does
DeepL is a Python wrapper around the DeepL API, a neural machine translation service. It lets you send text or documents to DeepL's servers and receive high-quality translations back. The library handles authentication, HTTP communication via requests, and wraps the API responses into convenient Python objects.
You use it by instantiating a DeepLClient with your API key, then calling methods like translate_text() with your source text and target language code. The library supports optional features including automatic source-language detection, formality levels (formal vs. informal), custom glossaries, context hints, and a choice of translation models (quality-optimized or latency-optimized). It returns TextResult objects containing the translated text, detected source language, and billing information.
Use it for
- Build a multilingual web application that translates user-generated content on demand without running your own translation infrastructure.
- Automate translation of customer support tickets or documentation into multiple languages for international teams.
- Create a glossary-aware translation tool that maintains consistent terminology for domain-specific terms across translations.
- Batch-process large volumes of text or documents by leveraging the library's support for multiple inputs and formality/model options.
- Integrate real-time translation into a chat or messaging application with language auto-detection.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The library is actively maintained (released 1 day ago), has no known vulnerabilities, low install friction, and a permissive MIT license. It is well-suited for any Python application that needs to integrate DeepL's translation service. The main constraint is that you must obtain and manage a DeepL API key, and translation volume is subject to your account tier's character limits.
Install
deepl on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (requests 2.32.4+). Active maintenance with a release 1 day ago and 1330 repository stars. Tested on Python 3.9 through 3.13.
Requires a DeepL API authentication key (free tier allows 500,000 characters/month); requires Python 3.9 or later.
License in practice
MIT license (permissive): you can use this library freely in commercial and private projects with minimal restrictions, provided you include the license notice.
Quickstart
pip install deepl
import deepl
auth_key = "your-api-key-here"
client = deepl.DeepLClient(auth_key)
result = client.translate_text("Hello, world!", target_lang="FR")
print(result.text) # "Bonjour, le monde !"Verify before relying
- Whether the library fully supports all current DeepL API features or if some newer API additions lag behind the service.
- Performance characteristics and rate-limiting behavior when handling large batches or high-frequency requests.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,291,989 / month, #4,102 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.6Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: deepl-1.32.0-py3-none-any.whl
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See also deep-translator · translate · translators · libretranslatepy · azure-ai-translation-text · googletrans · google-cloud-translate · azure-ai-translation-document · BabelDOC · sarvamai