spanishconjugator
A python library to conjugate spanish words with parameters tense, mood and pronoun
Decision gist · record as of 2026-08-14
Yes, if you need straightforward Spanish verb conjugation with no dependencies and permissive licensing. The low install friction and zero external dependencies make it easy to add to any project. However, verify that the tenses and moods you need are implemented—the package does not support all Spanish moods (e.g., no conditional perfect listed in the docs), and coverage of irregular verbs is unclear. The aging maintenance status means bug fixes or new features may be slow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Last commit was 2025-04-21, but the package is aging—no release in over 7 months despite the repository remaining active.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) means you can use, modify, and distribute freely with minimal restrictions.
last release 2024-12-09 (613 days) · last repo commit 2025-04-21 · 16 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 120,690 downloads/mo, #12,012 on PyPI
Alternatives
Verify before relying
pip install spanishconjugator
from spanishconjugator import Conjugator
result = Conjugator().conjugate('hablar', 'imperfect', 'indicative', 'yo')
print(result) # hablaba- Whether all irregular Spanish verbs are supported or only regular conjugation patterns.
- Current test coverage and whether the unit tests mentioned in the docs are still passing.
- Whether the package handles edge cases like reflexive verbs or enclitic pronouns.
What it is and what it does
spanishconjugator is a lightweight Python library that conjugates Spanish verbs by combining a root verb, tense, mood, and pronoun into the correct inflected form. It exposes a single Conjugator class with a conjugate() method that returns either a string (for a specific pronoun) or a dictionary of all pronoun forms (when pronoun is omitted for present indicative). The library supports multiple moods—indicative, conditional, imperative, and subjunctive—across tenses like present, imperfect, preterite, future, and perfect forms.
The package has no external dependencies and installs cleanly. It is designed for developers building Spanish language tools, educational applications, or text-processing pipelines that need reliable verb conjugation. The implementation is straightforward: pass the verb, tense, mood, and pronoun, and receive the conjugated form. The repository remains maintained but is aging, with the last release over 7 months old and limited documentation beyond the README examples.
Use it for
- Build a Spanish language learning app that generates conjugation exercises for students.
- Validate or auto-correct verb forms in Spanish text-processing or NLP pipelines.
- Generate conjugated verb forms for chatbots or conversational AI in Spanish.
- Create a grammar reference tool that shows all conjugation forms for a given verb.
- Support Spanish language features in a multilingual writing or translation assistant.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need straightforward Spanish verb conjugation with no dependencies and permissive licensing.
The low install friction and zero external dependencies make it easy to add to any project. However, verify that the tenses and moods you need are implemented—the package does not support all Spanish moods (e.g., no conditional perfect listed in the docs), and coverage of irregular verbs is unclear. The aging maintenance status means bug fixes or new features may be slow.
Install
spanishconjugator on PyPI
Before you install
Low install friction with no runtime dependencies. Last commit was 2025-04-21, but the package is aging—no release in over 7 months despite the repository remaining active.
License in practice
MIT license (permissive) means you can use, modify, and distribute freely with minimal restrictions.
Quickstart
pip install spanishconjugator
from spanishconjugator import Conjugator
result = Conjugator().conjugate('hablar', 'imperfect', 'indicative', 'yo')
print(result) # hablaba
Verify before relying
- Whether all irregular Spanish verbs are supported or only regular conjugation patterns.
- Current test coverage and whether the unit tests mentioned in the docs are still passing.
- Whether the package handles edge cases like reflexive verbs or enclitic pronouns.
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 613 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 120,690 / month, #12,012 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8 |
Evidence: spanishconjugator-2.3.9474-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “spanish verb conjugation”
- spanishconjugatorConjugates Spanish verbs by tense, mood, and pronoun through a simple…
- AEMET-OpenDataPython client for the AEMET OpenData Rest API that retrieves public…
- InflectorConverts English and Spanish nouns between singular and plural forms,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Linguistic packages
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
tiktoken is a fast BPE tokenizer that converts text into token sequences compatible with OpenAI models, supporting multiple encoding schemes including o200k_base and model-specific encodings.
Install it if you work with OpenAI APIs or need to understand token boundaries in GPT-family models.
Detects character encoding and language in byte sequences with high accuracy, supporting 99 encodings and returning confidence scores, language tags, and MIME types.
Install it if you need to detect character encoding or language in byte data; the rewrite makes it substantially faster and more accurate than its predecessors.
Converts Unicode text to ASCII by transliterating non-ASCII characters into their closest ASCII equivalents, with no runtime dependencies.
However, if transliteration quality or ongoing maintenance matters, consider unidecode instead despite its GPL-only license.
Lark is a parsing library that builds abstract syntax trees from context-free grammars, supporting multiple parsing algorithms (Earley, LALR(1), CYK) with automatic line and column tracking.
Python bindings to the tree-sitter parsing library, enabling incremental parsing and syntax tree analysis for source code.
See also conllu · Inflector · number-parser · num2words · tree-sitter-haskell · spacy-language-detection · wonderwords · text2num · ago · gcld3