pipreqs-fivetran
Pip requirements.txt generator based on imports in project
Decision gist · record as of 2026-08-14
Yes, if you need to generate or audit requirements.txt files for Python projects. The low install friction and permissive license make it a safe addition to a development workflow. However, the aging maintenance status means you should verify it handles your project's import patterns correctly before relying on it for production dependency management. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9–3.14; optional Jupyter notebook scanning requires nbconvert and ipython as runtime dependencies (included by default).
- Low friction: four runtime dependencies (yarg, docopt, nbconvert, ipython) are lightweight and widely available.
- Maintenance status is aging—last release was 193 days ago—so expect no active development, though the package remains functional for its core task.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely as long as you include the license notice.
last release 2026-02-02 (193 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 116,067 downloads/mo, #12,222 on PyPI
Alternatives
Verify before relying
pip install pipreqs-fivetran
pipreqs /path/to/project
# or to output to stdout:
pipreqs --print /path/to/project- Whether the package correctly handles all modern import syntax (e.g., conditional imports, type hints, starred imports) across Python 3.9–3.14.
- How accurately it distinguishes between direct project dependencies and transitive dependencies when querying PyPI.
- Performance characteristics on large projects with many files or notebooks.
What it is and what it does
pipreqs-fivetran is a command-line tool that analyzes a Python project's source code and Jupyter notebooks to extract all imported packages, then generates a requirements.txt file without needing to install anything. Unlike `pip freeze`, which lists every package in your environment, pipreqs scans only the files you actually use, making it useful for documenting real project dependencies or bootstrapping requirements for a new project.
The tool queries PyPI to determine available versions and can pin them using different schemes (exact, compatible release, or unpinned), or use only local package metadata if you prefer offline operation. It supports custom PyPI servers, HTTP proxies, and can clean up existing requirements files by removing unused packages or comparing against current imports.
Use it for
- Generate requirements.txt for a new project before installing any packages, to document what you need.
- Audit an existing project to find unused dependencies currently listed in requirements.txt.
- Extract dependencies from a Jupyter notebook-heavy data science project that pip freeze would misrepresent.
- Migrate a project to a custom or private PyPI server by re-pinning versions against that server.
- Quickly document dependencies for a legacy codebase without manually inspecting imports.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to generate or audit requirements.txt files for Python projects.
The low install friction and permissive license make it a safe addition to a development workflow. However, the aging maintenance status means you should verify it handles your project's import patterns correctly before relying on it for production dependency management. No known vulnerabilities.
Install
pipreqs-fivetran on PyPI
Before you install
Low friction: four runtime dependencies (yarg, docopt, nbconvert, ipython) are lightweight and widely available. Maintenance status is aging—last release was 193 days ago—so expect no active development, though the package remains functional for its core task.
Requires Python 3.9–3.14; optional Jupyter notebook scanning requires nbconvert and ipython as runtime dependencies (included by default).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely as long as you include the license notice.
Quickstart
pip install pipreqs-fivetran
pipreqs /path/to/project
# or to output to stdout:
pipreqs --print /path/to/projectVerify before relying
- Whether the package correctly handles all modern import syntax (e.g., conditional imports, type hints, starred imports) across Python 3.9–3.14.
- How accurately it distinguishes between direct project dependencies and transitive dependencies when querying PyPI.
- Performance characteristics on large projects with many files or notebooks.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesyargdocoptnbconvertipython |
| Maintenance | Aging 193 days since the last release |
| First released | |
| Downloads | 116,067 / month, #12,222 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 LicenseNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: pipreqs_fivetran-1.1.2-py3-none-any.whl
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See also pipreqs · pip-check-reqs · yarg · pip-chill · ipynb · importnb · pipdeptree · creosote · pex · nbdev