plette
Structured Pipfile and Pipfile.lock models.
Decision gist · record as of 2026-08-14
Yes, if you need to work with Pipfile or Pipfile.lock files programmatically. Low install friction, permissive license, active maintenance, and no known vulnerabilities make it a safe choice. The Planning classifier is a minor signal of early-stage status, but the repo is actively maintained and the API is stable enough for practical use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later.
- Low friction: pure Python wheel with a single runtime dependency (tomlkit).
- Actively maintained with recent commits; marked as Planning status in classifiers but repo is not archived and receives updates.
License · maintenance · safety
ISC License (permissive) — ISC License is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-04-29 (107 days) · last repo commit 2026-04-29 · 7 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 174,096 downloads/mo, #10,289 on PyPI
Alternatives
Verify before relying
pip install plette
from plette.models import Pipfile
pipfile = Pipfile.load('Pipfile')
print(pipfile.packages)- Whether validation feature (optional extra) requires additional dependencies beyond what the fact sheet lists.
- Specific API stability guarantees or breaking-change policy for a Planning-status package.
What it is and what it does
Plette is a library for working with Pipfile and Pipfile.lock files—the dependency manifests used by pipenv—in a structured, programmatic way. It provides parsers to read these files into Python objects and generators to write them back out, so you can inspect, modify, or create dependency specifications without manual string manipulation. The library depends only on tomlkit for TOML handling, keeping the install footprint small.
The package is actively maintained and supports Python 3.7 through 3.10. It carries an ISC License, which is permissive. An optional validation feature is available if you need stricter checking of Pipfile structure, though the fact sheet does not detail what that entails.
Use it for
- Parse an existing Pipfile or Pipfile.lock to programmatically inspect or audit package dependencies.
- Generate or modify Pipfile entries from within a tool or script that manages Python environments.
- Build dependency-management automation that reads and writes pipenv configuration files.
- Validate Pipfile structure before committing or deploying it to ensure correctness.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to work with Pipfile or Pipfile.lock files programmatically.
Low install friction, permissive license, active maintenance, and no known vulnerabilities make it a safe choice. The Planning classifier is a minor signal of early-stage status, but the repo is actively maintained and the API is stable enough for practical use.
Install
plette on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (tomlkit). Actively maintained with recent commits; marked as Planning status in classifiers but repo is not archived and receives updates.
Requires Python 3.7 or later.
License in practice
ISC License is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install plette
from plette.models import Pipfile
pipfile = Pipfile.load('Pipfile')
print(pipfile.packages)
Verify before relying
- Whether validation feature (optional extra) requires additional dependencies beyond what the fact sheet lists.
- Specific API stability guarantees or breaking-change policy for a Planning-status package.
Package facts
| License | ISC License permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetomlkit |
| Maintenance | Actively maintained 107 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 174,096 / month, #10,289 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 1 - PlanningLicense :: OSI Approved :: ISC License (ISCL)Operating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: plette-2.2.1-py2.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 › “pipfile.lock handling”
- plettePlette provides structured parsers and generators for Pipfile and…
- pipfileProvides a design specification and parser for Pipfile and…
- dparse2Parses Python dependency manifests (requirements.txt, Pipfile,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also pipfile · pipenv · requirementslib · dparse · dparse2 · pipupgrade · pip-upgrader · migrate-to-uv · pexpect · pdm